Career Roadmaps for Students

Key concepts explained

• Python - A beginner-friendly, versatile language used across data, AI, web and automation. Learn syntax, data types, loops, functions, and OOP.
• NumPy - Python library for fast numerical computing with arrays/matrices - the base for most data and ML work.
• pandas - Python library for loading, cleaning and analyzing tabular data (DataFrames). Core skill for any data role.
• Matplotlib - Python plotting library for charts and graphs to visualize data.
• Linear algebra - Vectors and matrices - the math behind ML, graphics and engineering. Learn dot products, matrix multiply, eigenvalues.
• calculus - Derivatives and integrals - used for optimization and how models learn (gradients).
• gradients - The direction of steepest change; gradient descent uses them to train models by reducing error step by step.
• Statistics - Summarizing and drawing conclusions from data: mean, variance, distributions, sampling.
• probability basics - The math of uncertainty - distributions, conditional probability, Bayes - underpins ML and analytics.
• Git - Version control to track code changes and collaborate.
• GitHub - Cloud platform to host Git repos, showcase projects and collaborate.

Suggested 4-week pace

1. Week 1: Python, NumPy, pandas, Matplotlib
2. Week 2: Linear algebra, calculus, gradients
3. Week 3: Statistics & probability basics
4. Week 4: Git & GitHub

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - EDA notebook on a real dataset..

Key concepts explained

• Regression - Predicting a continuous number (e.g., price) from input features.
• trees - Hierarchical structure (file systems, search trees).
• KNN - K-Nearest Neighbors - classifies a point by the labels of its closest neighbors.
• SVM - Support Vector Machine - finds the best boundary separating classes.
• Ensembles (Random Forest - An ensemble of many decision trees that vote - strong, robust baseline model.
• XGBoost) - Gradient-boosted trees; a top performer on tabular data competitions.
• K-means - Popular clustering algorithm that groups data into K clusters.
• PCA - Principal Component Analysis - reduces many features to a few while keeping most information.
• scikit-learn workflow - The standard Python library for classical machine learning (models, metrics, pipelines).

Suggested 4-week pace

1. Week 1: Regression, trees, KNN, SVM
2. Week 2: Ensembles (Random Forest, XGBoost)
3. Week 3: K-means, PCA
4. Week 4: scikit-learn workflow

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Predict prices/churn end-to-end..

Key concepts explained

• Metrics: F1 - How you measure model quality: accuracy, precision/recall, F1, ROC-AUC, RMSE.
• ROC-AUC - A metric for classifiers measuring how well they rank positives above negatives (1.0 = perfect).
• RMSE - learn the fundamentals, then practice with a small exercise.
• Feature engineering - Creating and transforming input variables so models learn better - often the biggest lever on accuracy.
• imbalance - learn the fundamentals, then practice with a small exercise.
• Hyperparameter tuning - Settings you choose before training (e.g., tree depth); tuned via grid/random search.
• SQL for data - Language to query and manage relational databases - essential for data roles.

Suggested 4-week pace

1. Week 1: Metrics: F1, ROC-AUC, RMSE
2. Week 2: Feature engineering, imbalance
3. Week 3: Hyperparameter tuning
4. Week 4: SQL for data

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Kaggle entry with write-up..

Key concepts explained

• Neural nets - learn the fundamentals, then practice with a small exercise.
• backprop - Backpropagation - the algorithm that computes gradients to train neural networks.
• PyTorch fundamentals - Popular deep-learning framework (flexible, research-friendly) for building/training neural nets.
• CNN basics - Convolutional Neural Network - excels at images (detection, classification).
• Loss - learn the fundamentals, then practice with a small exercise.
• optimizers - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Neural nets, backprop
2. Week 2: PyTorch fundamentals
3. Week 3: CNN basics
4. Week 4: Loss, optimizers

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Image classifier in PyTorch..

Key concepts explained

• FastAPI - Modern, fast Python framework to build APIs (great for serving ML models).
• Flask serving - Lightweight Python web framework for small apps and APIs.
• Docker - Packages an app and its dependencies into a portable container that runs anywhere.
• cloud basics - On-demand computing (AWS/GCP/Azure) for hosting apps, data and ML.
• Experiment tracking (MLflow) - Tool to track ML experiments, parameters, metrics and models.
• Clean - learn the fundamentals, then practice with a small exercise.
• tested code - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: FastAPI/Flask serving
2. Week 2: Docker, cloud basics
3. Week 3: Experiment tracking (MLflow)
4. Week 4: Clean, tested code

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Deploy a live ML API..

Key concepts explained

• Polish 3 GitHub projects - Cloud platform to host Git repos, showcase projects and collaborate.
• Intensify DSA + ML system design - Designing scalable systems: caching, load balancing, databases, trade-offs.
• Mock interviews - learn the fundamentals, then practice with a small exercise.
• Apply to junior ML roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Polish 3 GitHub projects
2. Week 2: Intensify DSA + ML system design
3. Week 3: Mock interviews
4. Week 4: Apply to junior ML roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Capstone: data→model→deployed app..

Key concepts explained

• pandas - Python library for loading, cleaning and analyzing tabular data (DataFrames). Core skill for any data role.
• NumPy - Python library for fast numerical computing with arrays/matrices - the base for most data and ML work.
• SQL joins - Language to query and manage relational databases - essential for data roles.
• window functions - learn the fundamentals, then practice with a small exercise.
• Excel analysis - Spreadsheets for analysis, formulas, pivot tables and quick reporting.
• Git - Version control to track code changes and collaborate.

Suggested 4-week pace

1. Week 1: pandas, NumPy
2. Week 2: SQL joins, window functions
3. Week 3: Excel analysis
4. Week 4: Git

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - SQL analysis of a public dataset..

Key concepts explained

• Distributions - learn the fundamentals, then practice with a small exercise.
• hypothesis testing - Statistical method to check if a result is real or due to chance (p-values, confidence intervals).
• Confidence intervals - learn the fundamentals, then practice with a small exercise.
• p-values - learn the fundamentals, then practice with a small exercise.
• A - learn the fundamentals, then practice with a small exercise.
• B test design - learn the fundamentals, then practice with a small exercise.
• Causation vs correlation - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Distributions, hypothesis testing
2. Week 2: Confidence intervals, p-values
3. Week 3: A/B test design
4. Week 4: Causation vs correlation

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Analyze a simulated A/B test..

Key concepts explained

• Matplotlib - Python plotting library for charts and graphs to visualize data.
• Seaborn - Statistical visualization library built on Matplotlib - prettier charts with less code.
• Plotly - Library for interactive, web-ready charts and dashboards.
• Power BI - Microsoft tool to build interactive dashboards and reports.
• Tableau - Popular tool for interactive data visualization and dashboards.
• Insight narratives - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Matplotlib, Seaborn, Plotly
2. Week 2: Power BI / Tableau
3. Week 3: Insight narratives

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Dashboard + insights report..

Key concepts explained

• Regression - Predicting a continuous number (e.g., price) from input features.
• classification - Predicting a category/label (e.g., spam vs not-spam).
• clustering - Grouping similar data points without labels (unsupervised), e.g., customer segments.
• scikit-learn - The standard Python library for classical machine learning (models, metrics, pipelines).
• metrics - How you measure model quality: accuracy, precision/recall, F1, ROC-AUC, RMSE.
• Feature engineering - Creating and transforming input variables so models learn better - often the biggest lever on accuracy.

Suggested 4-week pace

1. Week 1: Regression, classification, clustering
2. Week 2: scikit-learn, metrics
3. Week 3: Feature engineering

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Predictive model with business framing..

Key concepts explained

• Time series forecasting - learn the fundamentals, then practice with a small exercise.
• Recommenders - learn the fundamentals, then practice with a small exercise.
• Intro deep learning - learn the fundamentals, then practice with a small exercise.
• Spark concepts - Engine for processing very large datasets in parallel.

Suggested 4-week pace

1. Week 1: Time series forecasting
2. Week 2: Recommenders
3. Week 3: Intro deep learning
4. Week 4: Spark concepts

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Forecasting case study..

Key concepts explained

• 3 polished case studies - learn the fundamentals, then practice with a small exercise.
• SQL + stats + ML prep - Language to query and manage relational databases - essential for data roles.
• Light DSA - Data Structures & Algorithms - core for coding interviews and efficient software.
• case interviews - learn the fundamentals, then practice with a small exercise.
• Apply to junior DS - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: 3 polished case studies
2. Week 2: SQL + stats + ML prep
3. Week 3: Light DSA, case interviews
4. Week 4: Apply to junior DS

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Capstone: question→recommendation..

Key concepts explained

• Formulas - learn the fundamentals, then practice with a small exercise.
• pivot tables - learn the fundamentals, then practice with a small exercise.
• lookups - learn the fundamentals, then practice with a small exercise.
• Charts - learn the fundamentals, then practice with a small exercise.
• cleaning - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Formulas, pivot tables, lookups
2. Week 2: Charts & cleaning

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Sales dashboard in Excel..

Key concepts explained

• SELECT - learn the fundamentals, then practice with a small exercise.
• JOIN - learn the fundamentals, then practice with a small exercise.
• GROUP BY - learn the fundamentals, then practice with a small exercise.
• Subqueries - learn the fundamentals, then practice with a small exercise.
• window functions - learn the fundamentals, then practice with a small exercise.
• CTEs - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: SELECT, JOIN, GROUP BY
2. Week 2: Subqueries, window functions, CTEs

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Answer 15 business questions in SQL..

Key concepts explained

• Power BI or Tableau - Microsoft tool to build interactive dashboards and reports.
• Data modeling - learn the fundamentals, then practice with a small exercise.
• DAX - learn the fundamentals, then practice with a small exercise.
• interactivity - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Power BI or Tableau
2. Week 2: Data modeling, DAX, interactivity

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Interactive KPI dashboard..

Key concepts explained

• pandas cleaning - Python library for loading, cleaning and analyzing tabular data (DataFrames). Core skill for any data role.
• merging - learn the fundamentals, then practice with a small exercise.
• Matplotlib - Python plotting library for charts and graphs to visualize data.
• Seaborn - Statistical visualization library built on Matplotlib - prettier charts with less code.

Suggested 4-week pace

1. Week 1: pandas cleaning & merging
2. Week 2: Matplotlib/Seaborn

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Automated cleaning + report script..

Key concepts explained

• Descriptive stats - learn the fundamentals, then practice with a small exercise.
• trends - learn the fundamentals, then practice with a small exercise.
• A - learn the fundamentals, then practice with a small exercise.
• B basics - learn the fundamentals, then practice with a small exercise.
• KPIs - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Descriptive stats, trends
2. Week 2: A/B basics, KPIs

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - End-to-end analysis with recs..

Key concepts explained

• 3–4 dashboards in portfolio - learn the fundamentals, then practice with a small exercise.
• Resume - learn the fundamentals, then practice with a small exercise.
• LinkedIn - learn the fundamentals, then practice with a small exercise.
• SQL drills - Language to query and manage relational databases - essential for data roles.
• Apply to analyst roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: 3–4 dashboards in portfolio
2. Week 2: Resume, LinkedIn, SQL drills
3. Week 3: Apply to analyst roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Capstone analyst case study..

Key concepts explained

• Linear algebra - Vectors and matrices - the math behind ML, graphics and engineering. Learn dot products, matrix multiply, eigenvalues.
• calculus - Derivatives and integrals - used for optimization and how models learn (gradients).
• NumPy - Python library for fast numerical computing with arrays/matrices - the base for most data and ML work.
• scikit-learn - The standard Python library for classical machine learning (models, metrics, pipelines).

Suggested 4-week pace

1. Week 1: Linear algebra, calculus
2. Week 2: NumPy, scikit-learn

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Gradient descent from scratch..

Key concepts explained

• MLP - learn the fundamentals, then practice with a small exercise.
• activations - learn the fundamentals, then practice with a small exercise.
• backprop - Backpropagation - the algorithm that computes gradients to train neural networks.
• PyTorch tensors - Popular deep-learning framework (flexible, research-friendly) for building/training neural nets.
• autograd - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: MLP, activations, backprop
2. Week 2: PyTorch tensors & autograd

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - MLP on MNIST..

Key concepts explained

• Convolutions - learn the fundamentals, then practice with a small exercise.
• pooling - learn the fundamentals, then practice with a small exercise.
• architectures - learn the fundamentals, then practice with a small exercise.
• Augmentation - learn the fundamentals, then practice with a small exercise.
• dropout - learn the fundamentals, then practice with a small exercise.
• OpenCV basics - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Convolutions, pooling, architectures
2. Week 2: Augmentation, dropout
3. Week 3: OpenCV basics

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - CIFAR-10 classifier..

Key concepts explained

• Pretrained models - learn the fundamentals, then practice with a small exercise.
• fine-tuning - Further-training a pretrained model on your own data for a specific task.
• Object detection (YOLO) - learn the fundamentals, then practice with a small exercise.
• Segmentation intro - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Pretrained models, fine-tuning
2. Week 2: Object detection (YOLO)
3. Week 3: Segmentation intro

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Custom object detector..

Key concepts explained

• Autoencoders - learn the fundamentals, then practice with a small exercise.
• GANs - learn the fundamentals, then practice with a small exercise.
• diffusion - learn the fundamentals, then practice with a small exercise.
• Vision transformers - The architecture behind modern NLP/LLMs; uses attention to weigh all tokens.
• GPU training - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Autoencoders, GANs, diffusion
2. Week 2: Vision transformers
3. Week 3: GPU training

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Image generation/style transfer..

Key concepts explained

• Serve a CV model - learn the fundamentals, then practice with a small exercise.
• 2–3 CV projects - learn the fundamentals, then practice with a small exercise.
• DL theory + DSA - Data Structures & Algorithms - core for coding interviews and efficient software.

Suggested 4-week pace

1. Week 1: Serve a CV model
2. Week 2: 2–3 CV projects
3. Week 3: DL theory + DSA

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Deployed computer-vision app..

Key concepts explained

• Regex - learn the fundamentals, then practice with a small exercise.
• tokenization - Splitting text into tokens (words/subwords) so models can process it.
• NLTK - learn the fundamentals, then practice with a small exercise.
• spaCy - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Regex, tokenization
2. Week 2: NLTK / spaCy

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Text cleaning + frequency analysis..

Key concepts explained

• TF-IDF - A classic way to score how important a word is to a document - used in text search/classification.
• n-grams - learn the fundamentals, then practice with a small exercise.
• Text classification - Predicting a category/label (e.g., spam vs not-spam).
• Word embeddings - Turning words/items into numeric vectors that capture meaning/similarity.

Suggested 4-week pace

1. Week 1: TF-IDF, n-grams
2. Week 2: Text classification
3. Week 3: Word embeddings

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Sentiment/spam classifier..

Key concepts explained

• RNN - Recurrent Neural Network - processes sequences like text or time series.
• LSTM - A type of RNN that handles long sequences better by remembering important context.
• GRU - learn the fundamentals, then practice with a small exercise.
• PyTorch for sequences - Popular deep-learning framework (flexible, research-friendly) for building/training neural nets.
• Seq2seq basics - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: RNN, LSTM, GRU
2. Week 2: PyTorch for sequences
3. Week 3: Seq2seq basics

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - LSTM generator / NER tagger..

Key concepts explained

• Attention - Mechanism letting models focus on the most relevant parts of the input.
• architecture - learn the fundamentals, then practice with a small exercise.
• BERT - A pretrained transformer for understanding text; fine-tune it for classification, QA, etc.
• fine-tuning - Further-training a pretrained model on your own data for a specific task.
• Hugging Face - Platform/library with thousands of pretrained models and easy NLP/LLM tooling.

Suggested 4-week pace

1. Week 1: Attention & architecture
2. Week 2: BERT, fine-tuning
3. Week 3: Hugging Face

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Fine-tune BERT for classification..

Key concepts explained

• QA - learn the fundamentals, then practice with a small exercise.
• summarization - learn the fundamentals, then practice with a small exercise.
• Semantic search - learn the fundamentals, then practice with a small exercise.
• embeddings - Turning words/items into numeric vectors that capture meaning/similarity.
• Intro LLMs - Large Language Model (e.g., GPT/Claude) - predicts text and powers chat, RAG and agents.
• prompting - The instruction/context you give an LLM; good prompting greatly improves output.

Suggested 4-week pace

1. Week 1: QA, summarization
2. Week 2: Semantic search & embeddings
3. Week 3: Intro LLMs & prompting

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Semantic search engine..

Key concepts explained

• Serve an NLP model - Natural Language Processing - making computers understand and generate human language.
• 2–3 projects - learn the fundamentals, then practice with a small exercise.
• NLP theory + DSA - Natural Language Processing - making computers understand and generate human language.

Suggested 4-week pace

1. Week 1: Serve an NLP model
2. Week 2: 2–3 projects
3. Week 3: NLP theory + DSA

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Deployed NLP app..

Key concepts explained

• APIs - learn the fundamentals, then practice with a small exercise.
• JSON - learn the fundamentals, then practice with a small exercise.
• async - learn the fundamentals, then practice with a small exercise.
• Tokens - learn the fundamentals, then practice with a small exercise.
• context - learn the fundamentals, then practice with a small exercise.
• temperature - learn the fundamentals, then practice with a small exercise.
• Using model APIs - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: APIs, JSON, async
2. Week 2: Tokens, context, temperature
3. Week 3: Using model APIs

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - CLI chatbot using an LLM API..

Key concepts explained

• Few-shot - learn the fundamentals, then practice with a small exercise.
• chain-of-thought - learn the fundamentals, then practice with a small exercise.
• Structured output - learn the fundamentals, then practice with a small exercise.
• Prompt evaluation - Estimating what a company/asset is worth (DCF, comparables).

Suggested 4-week pace

1. Week 1: Few-shot, chain-of-thought
2. Week 2: Structured output
3. Week 3: Prompt evaluation

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Prompt-driven summarizer/extractor..

Key concepts explained

• Embeddings - Turning words/items into numeric vectors that capture meaning/similarity.
• semantic search - learn the fundamentals, then practice with a small exercise.
• FAISS - learn the fundamentals, then practice with a small exercise.
• Pinecone - learn the fundamentals, then practice with a small exercise.
• Chroma - learn the fundamentals, then practice with a small exercise.
• LangChain - Framework to build LLM apps: chains, agents, retrieval, tool use.
• LlamaIndex - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Embeddings & semantic search
2. Week 2: FAISS/Pinecone/Chroma
3. Week 3: LangChain/LlamaIndex

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Chat-with-your-PDFs RAG app..

Key concepts explained

• Function - learn the fundamentals, then practice with a small exercise.
• tool calling - learn the fundamentals, then practice with a small exercise.
• Agent loops - Object-Oriented Programming - organizing code into classes/objects.
• memory - learn the fundamentals, then practice with a small exercise.
• Multi-step workflows - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Function/tool calling
2. Week 2: Agent loops, memory
3. Week 3: Multi-step workflows

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Tool-using agent..

Key concepts explained

• RAG vs fine-tune vs prompt - Further-training a pretrained model on your own data for a specific task.
• LoRA - Low-Rank Adaptation - cheap, efficient fine-tuning of large models.
• PEFT basics - learn the fundamentals, then practice with a small exercise.
• Cost - learn the fundamentals, then practice with a small exercise.
• latency - learn the fundamentals, then practice with a small exercise.
• guardrails - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: RAG vs fine-tune vs prompt
2. Week 2: LoRA/PEFT basics
3. Week 3: Cost, latency, guardrails

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Fine-tune a small open model..

Key concepts explained

• Full-stack LLM app - Last-in-first-out structure (undo, function calls).
• Deploy (Docker - Packages an app and its dependencies into a portable container that runs anywhere.
• cloud) - On-demand computing (AWS/GCP/Azure) for hosting apps, data and ML.
• Portfolio + light DSA - Data Structures & Algorithms - core for coding interviews and efficient software.

Suggested 4-week pace

1. Week 1: Full-stack LLM app
2. Week 2: Deploy (Docker, cloud)
3. Week 3: Portfolio + light DSA

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Deployed GenAI product..

Key concepts explained

• Shell scripting - learn the fundamentals, then practice with a small exercise.
• Linux - learn the fundamentals, then practice with a small exercise.
• Git workflows - Version control to track code changes and collaborate.
• Cloud intro - On-demand computing (AWS/GCP/Azure) for hosting apps, data and ML.

Suggested 4-week pace

1. Week 1: Shell scripting, Linux
2. Week 2: Git workflows
3. Week 3: Cloud intro

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Automate a data task..

Key concepts explained

• ML workflow recap - learn the fundamentals, then practice with a small exercise.
• MLflow - Tool to track ML experiments, parameters, metrics and models.
• W&B - learn the fundamentals, then practice with a small exercise.
• DVC versioning - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: ML workflow recap
2. Week 2: MLflow / W&B
3. Week 3: DVC versioning

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Reproducible training pipeline..

Key concepts explained

• Docker - Packages an app and its dependencies into a portable container that runs anywhere.
• Compose - learn the fundamentals, then practice with a small exercise.
• FastAPI serving - Modern, fast Python framework to build APIs (great for serving ML models).
• REST API design - A standard way for software to talk over HTTP using URLs and JSON.

Suggested 4-week pace

1. Week 1: Docker, Compose
2. Week 2: FastAPI serving
3. Week 3: REST API design

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Containerized model API..

Key concepts explained

• GitHub Actions - Cloud platform to host Git repos, showcase projects and collaborate.
• Jenkins - learn the fundamentals, then practice with a small exercise.
• Airflow - Tool to schedule and orchestrate data/ML pipelines.
• Prefect - learn the fundamentals, then practice with a small exercise.
• Automated testing - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: GitHub Actions/Jenkins
2. Week 2: Airflow/Prefect
3. Week 3: Automated testing

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Pipeline that retrains & redeploys..

Key concepts explained

• K8s deployments - learn the fundamentals, then practice with a small exercise.
• scaling - learn the fundamentals, then practice with a small exercise.
• Drift detection - learn the fundamentals, then practice with a small exercise.
• Logging - learn the fundamentals, then practice with a small exercise.
• alerting - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: K8s deployments & scaling
2. Week 2: Drift detection
3. Week 3: Logging & alerting

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Deploy & monitor on K8s..

Key concepts explained

• Full MLOps pipeline - Practices/tools to deploy, monitor and automate ML in production.
• Cloud ML platforms - On-demand computing (AWS/GCP/Azure) for hosting apps, data and ML.
• Portfolio + DSA - Data Structures & Algorithms - core for coding interviews and efficient software.

Suggested 4-week pace

1. Week 1: Full MLOps pipeline
2. Week 2: Cloud ML platforms
3. Week 3: Portfolio + DSA

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Automated end-to-end ML platform..

Key concepts explained

• Big-O - Notation for how an algorithm's time/space grows with input size.
• Arrays - A contiguous list of elements; fast index access - the most basic data structure.
• strings - learn the fundamentals, then practice with a small exercise.
• two pointers - learn the fundamentals, then practice with a small exercise.
• Hash maps - learn the fundamentals, then practice with a small exercise.
• sets - learn the fundamentals, then practice with a small exercise.
• sliding window - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Big-O
2. Week 2: Arrays, strings, two pointers
3. Week 3: Hash maps/sets, sliding window

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - ~30 easy problems..

Key concepts explained

• Stacks - Last-in-first-out structure (undo, function calls).
• queues - First-in-first-out structure (scheduling, BFS).
• Linked lists - A chain of nodes; good for insertions/deletions.
• Recursion - A function calling itself to solve smaller subproblems.
• binary search - Efficiently find an item in sorted data by halving the search range.

Suggested 4-week pace

1. Week 1: Stacks & queues
2. Week 2: Linked lists
3. Week 3: Recursion, binary search

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - ~30 easy/medium problems..

Key concepts explained

• Trees - Hierarchical structure (file systems, search trees).
• BSTs - learn the fundamentals, then practice with a small exercise.
• DFS - learn the fundamentals, then practice with a small exercise.
• BFS - learn the fundamentals, then practice with a small exercise.
• Heaps - learn the fundamentals, then practice with a small exercise.
• Sorting - learn the fundamentals, then practice with a small exercise.
• trade-offs - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Trees & BSTs, DFS/BFS
2. Week 2: Heaps
3. Week 3: Sorting & trade-offs

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - ~30 medium problems..

Key concepts explained

• Graph BFS - Nodes connected by edges; models networks, maps, dependencies.
• DFS - learn the fundamentals, then practice with a small exercise.
• Topological sort - learn the fundamentals, then practice with a small exercise.
• Dijkstra - learn the fundamentals, then practice with a small exercise.
• Backtracking - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Graph BFS/DFS
2. Week 2: Topological sort, Dijkstra
3. Week 3: Backtracking

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - ~30 medium problems..

Key concepts explained

• Memoization vs tabulation - learn the fundamentals, then practice with a small exercise.
• Knapsack - learn the fundamentals, then practice with a small exercise.
• LIS - learn the fundamentals, then practice with a small exercise.
• edit distance - learn the fundamentals, then practice with a small exercise.
• Greedy - learn the fundamentals, then practice with a small exercise.
• intervals - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Memoization vs tabulation
2. Week 2: Knapsack, LIS, edit distance
3. Week 3: Greedy, intervals

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - ~30 medium/hard problems..

Key concepts explained

• Mixed timed sets - learn the fundamentals, then practice with a small exercise.
• Re-solve failed problems - learn the fundamentals, then practice with a small exercise.
• Company-tagged lists - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Mixed timed sets
2. Week 2: Re-solve failed problems
3. Week 3: Company-tagged lists

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - 40+ problems + 5 mock interviews..

Key concepts explained

• One language (Java - learn the fundamentals, then practice with a small exercise.
• C++ - learn the fundamentals, then practice with a small exercise.
• Python) - A beginner-friendly, versatile language used across data, AI, web and automation. Learn syntax, data types, loops, functions, and OOP.
• OOP - Object-Oriented Programming - organizing code into classes/objects.
• Git - Version control to track code changes and collaborate.
• command line - learn the fundamentals, then practice with a small exercise.
• Problem solving - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: One language (Java/C++/Python)
2. Week 2: OOP, Git, command line
3. Week 3: Problem solving

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Small CLI app..

Key concepts explained

• Big-O - Notation for how an algorithm's time/space grows with input size.
• arrays - A contiguous list of elements; fast index access - the most basic data structure.
• strings - learn the fundamentals, then practice with a small exercise.
• hashing - Mapping keys to buckets for O(1) lookup (hash maps/sets).
• Two pointers - learn the fundamentals, then practice with a small exercise.
• sliding window - learn the fundamentals, then practice with a small exercise.
• Recursion - A function calling itself to solve smaller subproblems.
• binary search - Efficiently find an item in sorted data by halving the search range.

Suggested 4-week pace

1. Week 1: Big-O, arrays, strings, hashing
2. Week 2: Two pointers, sliding window
3. Week 3: Recursion, binary search

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - ~40 problems..

Key concepts explained

• Linked lists - A chain of nodes; good for insertions/deletions.
• stacks - Last-in-first-out structure (undo, function calls).
• queues - First-in-first-out structure (scheduling, BFS).
• trees - Hierarchical structure (file systems, search trees).
• Sorting - learn the fundamentals, then practice with a small exercise.
• heaps - learn the fundamentals, then practice with a small exercise.
• SQL fundamentals - Language to query and manage relational databases - essential for data roles.

Suggested 4-week pace

1. Week 1: Linked lists, stacks, queues, trees
2. Week 2: Sorting, heaps
3. Week 3: SQL fundamentals

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Schema + queries..

Key concepts explained

• HTTP - learn the fundamentals, then practice with a small exercise.
• REST - learn the fundamentals, then practice with a small exercise.
• JSON - learn the fundamentals, then practice with a small exercise.
• A framework (Express - learn the fundamentals, then practice with a small exercise.
• Spring - learn the fundamentals, then practice with a small exercise.
• Django) - learn the fundamentals, then practice with a small exercise.
• Auth - learn the fundamentals, then practice with a small exercise.
• CRUD - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: HTTP, REST, JSON
2. Week 2: A framework (Express/Spring/Django)
3. Week 3: Auth & CRUD

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Full CRUD web app..

Key concepts explained

• Graphs - Nodes connected by edges; models networks, maps, dependencies.
• DP - learn the fundamentals, then practice with a small exercise.
• backtracking - learn the fundamentals, then practice with a small exercise.
• System design basics - Designing scalable systems: caching, load balancing, databases, trade-offs.
• Testing - learn the fundamentals, then practice with a small exercise.
• clean code - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Graphs, DP, backtracking
2. Week 2: System design basics
3. Week 3: Testing & clean code

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Add tests + deploy..

Key concepts explained

• 3 projects + READMEs - learn the fundamentals, then practice with a small exercise.
• Mock interviews - learn the fundamentals, then practice with a small exercise.
• Apply to SDE roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: 3 projects + READMEs
2. Week 2: Mock interviews
3. Week 3: Apply to SDE roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Capstone full-stack project..

Key concepts explained

• Semantic HTML - The markup that structures web pages (headings, links, forms).
• layouts - learn the fundamentals, then practice with a small exercise.
• Flexbox - learn the fundamentals, then practice with a small exercise.
• Grid - learn the fundamentals, then practice with a small exercise.
• responsive - learn the fundamentals, then practice with a small exercise.
• Accessibility basics - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Semantic HTML, layouts
2. Week 2: Flexbox, Grid, responsive
3. Week 3: Accessibility basics

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Static responsive site..

Key concepts explained

• DOM - learn the fundamentals, then practice with a small exercise.
• events - learn the fundamentals, then practice with a small exercise.
• ES6+ - learn the fundamentals, then practice with a small exercise.
• Fetch - learn the fundamentals, then practice with a small exercise.
• async - learn the fundamentals, then practice with a small exercise.
• JSON - learn the fundamentals, then practice with a small exercise.
• Debugging - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: DOM, events, ES6+
2. Week 2: Fetch/async, JSON
3. Week 3: Debugging

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Interactive JS app..

Key concepts explained

• Components - learn the fundamentals, then practice with a small exercise.
• props - learn the fundamentals, then practice with a small exercise.
• state - learn the fundamentals, then practice with a small exercise.
• Hooks - learn the fundamentals, then practice with a small exercise.
• routing - learn the fundamentals, then practice with a small exercise.
• Forms - learn the fundamentals, then practice with a small exercise.
• API calls - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Components, props, state
2. Week 2: Hooks, routing
3. Week 3: Forms & API calls

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Multi-page React app..

Key concepts explained

• npm - learn the fundamentals, then practice with a small exercise.
• Vite - learn the fundamentals, then practice with a small exercise.
• Webpack - learn the fundamentals, then practice with a small exercise.
• Tailwind or CSS-in-JS - Styles web pages - layout, colors, responsiveness (Flexbox, Grid).
• State management - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: npm, Vite/Webpack
2. Week 2: Tailwind or CSS-in-JS
3. Week 3: State management

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Themed dashboard UI..

Key concepts explained

• Auth flows - learn the fundamentals, then practice with a small exercise.
• API integration - learn the fundamentals, then practice with a small exercise.
• Performance - learn the fundamentals, then practice with a small exercise.
• testing - learn the fundamentals, then practice with a small exercise.
• Deploy (Vercel - learn the fundamentals, then practice with a small exercise.
• Netlify) - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Auth flows, API integration
2. Week 2: Performance & testing
3. Week 3: Deploy (Vercel/Netlify)

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Deployed real-world app..

Key concepts explained

• 3 live projects - learn the fundamentals, then practice with a small exercise.
• JS + frontend interview prep - learn the fundamentals, then practice with a small exercise.
• Apply to frontend roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: 3 live projects
2. Week 2: JS + frontend interview prep
3. Week 3: Apply to frontend roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Capstone portfolio site..

Key concepts explained

• Node - Run JavaScript on the server; build backends and APIs.
• Java - learn the fundamentals, then practice with a small exercise.
• Python - A beginner-friendly, versatile language used across data, AI, web and automation. Learn syntax, data types, loops, functions, and OOP.
• SQL - Language to query and manage relational databases - essential for data roles.
• a relational DB - learn the fundamentals, then practice with a small exercise.
• Git - Version control to track code changes and collaborate.

Suggested 4-week pace

1. Week 1: Node/Java/Python
2. Week 2: SQL & a relational DB
3. Week 3: Git

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - CRUD with a database..

Key concepts explained

• REST design - learn the fundamentals, then practice with a small exercise.
• JSON - learn the fundamentals, then practice with a small exercise.
• Routing - learn the fundamentals, then practice with a small exercise.
• middleware - learn the fundamentals, then practice with a small exercise.
• Validation - learn the fundamentals, then practice with a small exercise.
• errors - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: REST design, JSON
2. Week 2: Routing, middleware
3. Week 3: Validation & errors

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - REST API with docs..

Key concepts explained

• Authentication - learn the fundamentals, then practice with a small exercise.
• JWT - learn the fundamentals, then practice with a small exercise.
• ORMs - learn the fundamentals, then practice with a small exercise.
• migrations - learn the fundamentals, then practice with a small exercise.
• NoSQL basics - Language to query and manage relational databases - essential for data roles.

Suggested 4-week pace

1. Week 1: Authentication & JWT
2. Week 2: ORMs, migrations
3. Week 3: NoSQL basics

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Secured API + DB..

Key concepts explained

• Connect a React frontend - Popular JavaScript library for building component-based user interfaces.
• State - learn the fundamentals, then practice with a small exercise.
• API calls - learn the fundamentals, then practice with a small exercise.
• End-to-end flows - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Connect a React frontend
2. Week 2: State & API calls
3. Week 3: End-to-end flows

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Full-stack app..

Key concepts explained

• Unit - learn the fundamentals, then practice with a small exercise.
• integration tests - learn the fundamentals, then practice with a small exercise.
• Docker basics - Packages an app and its dependencies into a portable container that runs anywhere.
• Deploy to cloud - On-demand computing (AWS/GCP/Azure) for hosting apps, data and ML.

Suggested 4-week pace

1. Week 1: Unit/integration tests
2. Week 2: Docker basics
3. Week 3: Deploy to cloud

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Deployed full-stack app..

Key concepts explained

• Caching - learn the fundamentals, then practice with a small exercise.
• system design basics - Designing scalable systems: caching, load balancing, databases, trade-offs.
• DSA practice - Data Structures & Algorithms - core for coding interviews and efficient software.
• Apply to backend - learn the fundamentals, then practice with a small exercise.
• full-stack roles - Last-in-first-out structure (undo, function calls).

Suggested 4-week pace

1. Week 1: Caching, system design basics
2. Week 2: DSA practice
3. Week 3: Apply to backend/full-stack roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Capstone full-stack product..

Key concepts explained

• Pick Flutter - learn the fundamentals, then practice with a small exercise.
• Kotlin - learn the fundamentals, then practice with a small exercise.
• Swift - learn the fundamentals, then practice with a small exercise.
• UI basics - learn the fundamentals, then practice with a small exercise.
• layouts - learn the fundamentals, then practice with a small exercise.
• State basics - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Pick Flutter / Kotlin / Swift
2. Week 2: UI basics, layouts
3. Week 3: State basics

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Static multi-screen app..

Key concepts explained

• Navigation - learn the fundamentals, then practice with a small exercise.
• forms - learn the fundamentals, then practice with a small exercise.
• Local storage - Retrieval-Augmented Generation - give an LLM relevant documents at query time for grounded answers.
• Lists - learn the fundamentals, then practice with a small exercise.
• data binding - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Navigation, forms
2. Week 2: Local storage
3. Week 3: Lists & data binding

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - To-do app with storage..

Key concepts explained

• REST integration - learn the fundamentals, then practice with a small exercise.
• JSON - learn the fundamentals, then practice with a small exercise.
• Async - learn the fundamentals, then practice with a small exercise.
• error handling - learn the fundamentals, then practice with a small exercise.
• Auth - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: REST integration, JSON
2. Week 2: Async, error handling
3. Week 3: Auth

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - App consuming a real API..

Key concepts explained

• Camera - learn the fundamentals, then practice with a small exercise.
• location - learn the fundamentals, then practice with a small exercise.
• notifications - learn the fundamentals, then practice with a small exercise.
• Permissions - learn the fundamentals, then practice with a small exercise.
• Offline support - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Camera, location, notifications
2. Week 2: Permissions
3. Week 3: Offline support

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Feature-rich app..

Key concepts explained

• UI - learn the fundamentals, then practice with a small exercise.
• UX polish - learn the fundamentals, then practice with a small exercise.
• theming - learn the fundamentals, then practice with a small exercise.
• Testing - learn the fundamentals, then practice with a small exercise.
• Build - learn the fundamentals, then practice with a small exercise.
• release - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: UI/UX polish, theming
2. Week 2: Testing
3. Week 3: Build & release

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Published/distributable app..

Key concepts explained

• 2–3 apps - learn the fundamentals, then practice with a small exercise.
• DSA + mobile interview prep - Data Structures & Algorithms - core for coding interviews and efficient software.
• Apply to mobile roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: 2–3 apps
2. Week 2: DSA + mobile interview prep
3. Week 3: Apply to mobile roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Capstone mobile app..

Key concepts explained

• Linux CLI - learn the fundamentals, then practice with a small exercise.
• shell - learn the fundamentals, then practice with a small exercise.
• Git - Version control to track code changes and collaborate.
• networking - learn the fundamentals, then practice with a small exercise.
• Python automation - A beginner-friendly, versatile language used across data, AI, web and automation. Learn syntax, data types, loops, functions, and OOP.

Suggested 4-week pace

1. Week 1: Linux CLI, shell
2. Week 2: Git, networking
3. Week 3: Python automation

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Automate a setup task..

Key concepts explained

• AWS - Amazon Web Services - the leading cloud platform; learn core compute/storage services.
• GCP core services - Good Clinical Practice - ethics/quality standards for clinical trials.
• Compute - learn the fundamentals, then practice with a small exercise.
• storage - Retrieval-Augmented Generation - give an LLM relevant documents at query time for grounded answers.
• IAM - learn the fundamentals, then practice with a small exercise.
• Deploy a site - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: AWS/GCP core services
2. Week 2: Compute, storage, IAM
3. Week 3: Deploy a site

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Host a website on cloud..

Key concepts explained

• Docker deeply - Packages an app and its dependencies into a portable container that runs anywhere.
• Compose - learn the fundamentals, then practice with a small exercise.
• Registries - Geographic Information Systems - mapping and spatial data analysis.

Suggested 4-week pace

1. Week 1: Docker deeply
2. Week 2: Compose
3. Week 3: Registries

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Containerize an app..

Key concepts explained

• GitHub Actions - Cloud platform to host Git repos, showcase projects and collaborate.
• Jenkins - learn the fundamentals, then practice with a small exercise.
• Build - learn the fundamentals, then practice with a small exercise.
• test - learn the fundamentals, then practice with a small exercise.
• deploy automation - learn the fundamentals, then practice with a small exercise.
• Terraform (IaC) - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: GitHub Actions/Jenkins
2. Week 2: Build/test/deploy automation
3. Week 3: Terraform (IaC)

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Auto-deploy pipeline..

Key concepts explained

• K8s deployments - learn the fundamentals, then practice with a small exercise.
• scaling - learn the fundamentals, then practice with a small exercise.
• Prometheus - learn the fundamentals, then practice with a small exercise.
• Grafana - learn the fundamentals, then practice with a small exercise.
• Secrets - learn the fundamentals, then practice with a small exercise.
• config - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: K8s deployments & scaling
2. Week 2: Prometheus/Grafana
3. Week 3: Secrets & config

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Deploy app to Kubernetes..

Key concepts explained

• End-to-end deployment - learn the fundamentals, then practice with a small exercise.
• Cloud cert (optional) - On-demand computing (AWS/GCP/Azure) for hosting apps, data and ML.
• Apply to DevOps roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: End-to-end deployment
2. Week 2: Cloud cert (optional)
3. Week 3: Apply to DevOps roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Capstone automated deployment..

Key concepts explained

• TCP - learn the fundamentals, then practice with a small exercise.
• IP - learn the fundamentals, then practice with a small exercise.
• DNS - learn the fundamentals, then practice with a small exercise.
• HTTP - learn the fundamentals, then practice with a small exercise.
• Linux - learn the fundamentals, then practice with a small exercise.
• Windows - learn the fundamentals, then practice with a small exercise.
• Scripting - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: TCP/IP, DNS, HTTP
2. Week 2: Linux & Windows
3. Week 3: Scripting

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Map a small network..

Key concepts explained

• CIA triad - learn the fundamentals, then practice with a small exercise.
• threats - learn the fundamentals, then practice with a small exercise.
• Cryptography basics - Nodes connected by edges; models networks, maps, dependencies.
• Access control - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: CIA triad, threats
2. Week 2: Cryptography basics
3. Week 3: Access control

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - System hardening checklist..

Key concepts explained

• Wireshark - learn the fundamentals, then practice with a small exercise.
• Nmap - learn the fundamentals, then practice with a small exercise.
• Burp - learn the fundamentals, then practice with a small exercise.
• Firewalls - learn the fundamentals, then practice with a small exercise.
• VPNs - learn the fundamentals, then practice with a small exercise.
• Vulnerability scanning - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Wireshark, Nmap, Burp
2. Week 2: Firewalls, VPNs
3. Week 3: Vulnerability scanning

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Scan & report a test env..

Key concepts explained

• Ethical hacking - learn the fundamentals, then practice with a small exercise.
• OWASP Top 10 - learn the fundamentals, then practice with a small exercise.
• TryHackMe - learn the fundamentals, then practice with a small exercise.
• HTB labs - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Ethical hacking
2. Week 2: OWASP Top 10
3. Week 3: TryHackMe/HTB labs

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Capture-the-flag challenge..

Key concepts explained

• SIEM - learn the fundamentals, then practice with a small exercise.
• log analysis - learn the fundamentals, then practice with a small exercise.
• Incident response - learn the fundamentals, then practice with a small exercise.
• Endpoint security - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: SIEM, log analysis
2. Week 2: Incident response
3. Week 3: Endpoint security

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Investigate a simulated incident..

Key concepts explained

• Security+ - learn the fundamentals, then practice with a small exercise.
• CEH (optional) - learn the fundamentals, then practice with a small exercise.
• Security portfolio - learn the fundamentals, then practice with a small exercise.
• blog - learn the fundamentals, then practice with a small exercise.
• Apply to SOC roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Security+/CEH (optional)
2. Week 2: Security portfolio/blog
3. Week 3: Apply to SOC roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Capstone security assessment..

Key concepts explained

• C deeply (pointers - learn the fundamentals, then practice with a small exercise.
• memory) - learn the fundamentals, then practice with a small exercise.
• Basic electronics - learn the fundamentals, then practice with a small exercise.
• Datasheets - learn the fundamentals, then practice with a small exercise.
• breadboarding - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: C deeply (pointers, memory)
2. Week 2: Basic electronics
3. Week 3: Datasheets, breadboarding

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Sensor read on Arduino..

Key concepts explained

• GPIO - General-Purpose Input/Output pins to read sensors or drive outputs.
• ADC - learn the fundamentals, then practice with a small exercise.
• PWM - learn the fundamentals, then practice with a small exercise.
• timers - learn the fundamentals, then practice with a small exercise.
• Interrupts - learn the fundamentals, then practice with a small exercise.
• UART - Serial communication protocol between devices (TX/RX).
• I2C - Two-wire bus to connect multiple chips/sensors to a controller.
• SPI - Fast serial bus for chips like displays and memory.
• STM32 or ESP32 - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: GPIO, ADC, PWM, timers
2. Week 2: Interrupts, UART/I2C/SPI
3. Week 3: STM32 or ESP32

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Sensor data over serial..

Key concepts explained

• Bare-metal programming - learn the fundamentals, then practice with a small exercise.
• Logic analyzer - learn the fundamentals, then practice with a small exercise.
• oscilloscope - learn the fundamentals, then practice with a small exercise.
• Memory optimization - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Bare-metal programming
2. Week 2: Logic analyzer/oscilloscope
3. Week 3: Memory optimization

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Multi-sensor data logger..

Key concepts explained

• FreeRTOS tasks - Real-Time Operating System - schedules tasks with timing guarantees on devices.
• queues - First-in-first-out structure (scheduling, BFS).
• Bluetooth - learn the fundamentals, then practice with a small exercise.
• WiFi - learn the fundamentals, then practice with a small exercise.
• Buses - learn the fundamentals, then practice with a small exercise.
• protocols - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: FreeRTOS tasks/queues
2. Week 2: Bluetooth/WiFi
3. Week 3: Buses & protocols

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - RTOS multitasking project..

Key concepts explained

• Cloud via MQTT - On-demand computing (AWS/GCP/Azure) for hosting apps, data and ML.
• OTA updates - learn the fundamentals, then practice with a small exercise.
• Power management - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Cloud via MQTT
2. Week 2: OTA updates
3. Week 3: Power management

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - IoT device + dashboard..

Key concepts explained

• Document 3 projects - learn the fundamentals, then practice with a small exercise.
• Embedded C + basic DSA - C programming for resource-constrained devices; direct hardware control.
• Apply to firmware roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Document 3 projects
2. Week 2: Embedded C + basic DSA
3. Week 3: Apply to firmware roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Complete embedded product..

Key concepts explained

• Logic gates - learn the fundamentals, then practice with a small exercise.
• FSMs - learn the fundamentals, then practice with a small exercise.
• Number systems - learn the fundamentals, then practice with a small exercise.
• Boolean algebra - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Logic gates, FSMs
2. Week 2: Number systems
3. Week 3: Boolean algebra

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Design & simulate FSMs..

Key concepts explained

• RTL coding - learn the fundamentals, then practice with a small exercise.
• Testbenches - learn the fundamentals, then practice with a small exercise.
• Synthesizable code - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: RTL coding
2. Week 2: Testbenches
3. Week 3: Synthesizable code

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Code & simulate an ALU..

Key concepts explained

• Pipelining - learn the fundamentals, then practice with a small exercise.
• datapaths - learn the fundamentals, then practice with a small exercise.
• Timing - learn the fundamentals, then practice with a small exercise.
• clocking - learn the fundamentals, then practice with a small exercise.
• FPGA basics - Reconfigurable chip you program with HDL to implement custom hardware.

Suggested 4-week pace

1. Week 1: Pipelining, datapaths
2. Week 2: Timing & clocking
3. Week 3: FPGA basics

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Implement on FPGA..

Key concepts explained

• Functional verification - learn the fundamentals, then practice with a small exercise.
• Assertions - learn the fundamentals, then practice with a small exercise.
• coverage - Retrieval-Augmented Generation - give an LLM relevant documents at query time for grounded answers.
• Methodology - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Functional verification
2. Week 2: Assertions, coverage
3. Week 3: Methodology

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Verify a module..

Key concepts explained

• Synthesis - learn the fundamentals, then practice with a small exercise.
• place - learn the fundamentals, then practice with a small exercise.
• route - learn the fundamentals, then practice with a small exercise.
• Static timing analysis - learn the fundamentals, then practice with a small exercise.
• EDA flow - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Synthesis, place & route
2. Week 2: Static timing analysis
3. Week 3: EDA flow

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Run a synthesis flow..

Key concepts explained

• Document projects - learn the fundamentals, then practice with a small exercise.
• Digital + Verilog prep - Hardware Description Language to design digital circuits/chips.
• Apply to VLSI roles - Very Large Scale Integration - designing integrated circuits (chips).

Suggested 4-week pace

1. Week 1: Document projects
2. Week 2: Digital + Verilog prep
3. Week 3: Apply to VLSI roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Verified RTL design project..

Key concepts explained

• Sensors - learn the fundamentals, then practice with a small exercise.
• actuators - learn the fundamentals, then practice with a small exercise.
• Embedded C - C programming for resource-constrained devices; direct hardware control.
• Microcontroller basics - A tiny computer on a chip (Arduino/STM32/ESP32) that controls hardware.

Suggested 4-week pace

1. Week 1: Sensors & actuators
2. Week 2: Embedded C
3. Week 3: Microcontroller basics

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Sensor-to-LED project..

Key concepts explained

• WiFi - learn the fundamentals, then practice with a small exercise.
• Bluetooth - learn the fundamentals, then practice with a small exercise.
• MQTT - learn the fundamentals, then practice with a small exercise.
• HTTP - learn the fundamentals, then practice with a small exercise.
• ESP32 - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: WiFi/Bluetooth
2. Week 2: MQTT & HTTP
3. Week 3: ESP32

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Send sensor data to cloud..

Key concepts explained

• IoT platforms - learn the fundamentals, then practice with a small exercise.
• Dashboards - learn the fundamentals, then practice with a small exercise.
• alerts - learn the fundamentals, then practice with a small exercise.
• Databases - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: IoT platforms
2. Week 2: Dashboards & alerts
3. Week 3: Databases

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Live monitoring dashboard..

Key concepts explained

• Edge processing - learn the fundamentals, then practice with a small exercise.
• Low-power design - learn the fundamentals, then practice with a small exercise.
• Security basics - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Edge processing
2. Week 2: Low-power design
3. Week 3: Security basics

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Battery-optimized device..

Key concepts explained

• Multi-device systems - learn the fundamentals, then practice with a small exercise.
• OTA updates - learn the fundamentals, then practice with a small exercise.
• Automation rules - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Multi-device systems
2. Week 2: OTA updates
3. Week 3: Automation rules

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Multi-sensor smart system..

Key concepts explained

• Document 2–3 projects - learn the fundamentals, then practice with a small exercise.
• Embedded + IoT prep - learn the fundamentals, then practice with a small exercise.
• Apply to IoT roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Document 2–3 projects
2. Week 2: Embedded + IoT prep
3. Week 3: Apply to IoT roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - End-to-end IoT product..

Key concepts explained

• Continuous - learn the fundamentals, then practice with a small exercise.
• discrete signals - learn the fundamentals, then practice with a small exercise.
• Convolution - learn the fundamentals, then practice with a small exercise.
• LTI systems - learn the fundamentals, then practice with a small exercise.
• Fourier basics - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Continuous & discrete signals
2. Week 2: Convolution, LTI systems
3. Week 3: Fourier basics

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Signal analysis in MATLAB..

Key concepts explained

• DFT - learn the fundamentals, then practice with a small exercise.
• FFT - learn the fundamentals, then practice with a small exercise.
• Z-transform - learn the fundamentals, then practice with a small exercise.
• Sampling - learn the fundamentals, then practice with a small exercise.
• aliasing - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: DFT/FFT
2. Week 2: Z-transform
3. Week 3: Sampling & aliasing

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - FFT-based spectrum analyzer..

Key concepts explained

• FIR - learn the fundamentals, then practice with a small exercise.
• IIR design - learn the fundamentals, then practice with a small exercise.
• Filtering noisy signals - learn the fundamentals, then practice with a small exercise.
• Windowing - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: FIR & IIR design
2. Week 2: Filtering noisy signals
3. Week 3: Windowing

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Design & apply a digital filter..

Key concepts explained

• Audio - learn the fundamentals, then practice with a small exercise.
• speech processing - learn the fundamentals, then practice with a small exercise.
• Image processing basics - learn the fundamentals, then practice with a small exercise.
• Real-time concepts - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Audio/speech processing
2. Week 2: Image processing basics
3. Week 3: Real-time concepts

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Noise-removal demo..

Key concepts explained

• DSP in C - Digital Signal Processing - filtering/analyzing signals (audio, comms).
• on hardware - learn the fundamentals, then practice with a small exercise.
• Optimization - learn the fundamentals, then practice with a small exercise.
• MATLAB→embedded - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: DSP in C / on hardware
2. Week 2: Optimization
3. Week 3: MATLAB→embedded

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - DSP algorithm on a board..

Key concepts explained

• Document projects - learn the fundamentals, then practice with a small exercise.
• DSP theory + math prep - Digital Signal Processing - filtering/analyzing signals (audio, comms).
• Apply to DSP roles - Digital Signal Processing - filtering/analyzing signals (audio, comms).

Suggested 4-week pace

1. Week 1: Document projects
2. Week 2: DSP theory + math prep
3. Week 3: Apply to DSP roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Applied DSP capstone..

Key concepts explained

• Analog - learn the fundamentals, then practice with a small exercise.
• digital modulation - Version control to track code changes and collaborate.
• Signal - learn the fundamentals, then practice with a small exercise.
• noise - learn the fundamentals, then practice with a small exercise.
• Channel basics - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Analog & digital modulation
2. Week 2: Signal & noise
3. Week 3: Channel basics

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Simulate modulation schemes..

Key concepts explained

• Antennas - learn the fundamentals, then practice with a small exercise.
• propagation - learn the fundamentals, then practice with a small exercise.
• Link budget - learn the fundamentals, then practice with a small exercise.
• RF components - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Antennas & propagation
2. Week 2: Link budget
3. Week 3: RF components

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Design a simple link budget..

Key concepts explained

• Coding - learn the fundamentals, then practice with a small exercise.
• error correction - learn the fundamentals, then practice with a small exercise.
• Multiplexing - learn the fundamentals, then practice with a small exercise.
• OFDM basics - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Coding & error correction
2. Week 2: Multiplexing
3. Week 3: OFDM basics

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - BER simulation..

Key concepts explained

• Cellular (4G - learn the fundamentals, then practice with a small exercise.
• 5G) overview - learn the fundamentals, then practice with a small exercise.
• Protocols - learn the fundamentals, then practice with a small exercise.
• Network architecture - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Cellular (4G/5G) overview
2. Week 2: Protocols
3. Week 3: Network architecture

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Network design study..

Key concepts explained

• MATLAB - learn the fundamentals, then practice with a small exercise.
• ADS - learn the fundamentals, then practice with a small exercise.
• Spectrum - learn the fundamentals, then practice with a small exercise.
• network analyzers - learn the fundamentals, then practice with a small exercise.
• RF testing - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: MATLAB/ADS
2. Week 2: Spectrum/network analyzers
3. Week 3: RF testing

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - RF measurement report..

Key concepts explained

• Document projects - learn the fundamentals, then practice with a small exercise.
• Comms theory prep - learn the fundamentals, then practice with a small exercise.
• Apply to RF - learn the fundamentals, then practice with a small exercise.
• telecom roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Document projects
2. Week 2: Comms theory prep
3. Week 3: Apply to RF/telecom roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Communication system capstone..

Key concepts explained

• Python - A beginner-friendly, versatile language used across data, AI, web and automation. Learn syntax, data types, loops, functions, and OOP.
• Java - learn the fundamentals, then practice with a small exercise.
• C++ - learn the fundamentals, then practice with a small exercise.
• OOP - Object-Oriented Programming - organizing code into classes/objects.
• Git - Version control to track code changes and collaborate.
• Arrays - A contiguous list of elements; fast index access - the most basic data structure.
• strings - learn the fundamentals, then practice with a small exercise.
• Big-O - Notation for how an algorithm's time/space grows with input size.

Suggested 4-week pace

1. Week 1: Python/Java/C++
2. Week 2: OOP, Git
3. Week 3: Arrays, strings, Big-O

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Small CLI app..

Key concepts explained

• Recursion - A function calling itself to solve smaller subproblems.
• binary search - Efficiently find an item in sorted data by halving the search range.
• Linked lists - A chain of nodes; good for insertions/deletions.
• stacks - Last-in-first-out structure (undo, function calls).
• queues - First-in-first-out structure (scheduling, BFS).

Suggested 4-week pace

1. Week 1: Recursion, binary search
2. Week 2: Linked lists, stacks, queues

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - ~40 problems..

Key concepts explained

• Trees - Hierarchical structure (file systems, search trees).
• sorting - learn the fundamentals, then practice with a small exercise.
• heaps - learn the fundamentals, then practice with a small exercise.
• SQL fundamentals - Language to query and manage relational databases - essential for data roles.

Suggested 4-week pace

1. Week 1: Trees, sorting, heaps
2. Week 2: SQL fundamentals

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Schema + queries..

Key concepts explained

• REST APIs - A standard way for software to talk over HTTP using URLs and JSON.
• a framework - learn the fundamentals, then practice with a small exercise.
• Frontend or backend - learn the fundamentals, then practice with a small exercise.
• Auth + CRUD - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: REST APIs, a framework
2. Week 2: Frontend or backend
3. Week 3: Auth + CRUD

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Full CRUD web app..

Key concepts explained

• Graphs - Nodes connected by edges; models networks, maps, dependencies.
• DP - learn the fundamentals, then practice with a small exercise.
• backtracking - learn the fundamentals, then practice with a small exercise.
• Testing - learn the fundamentals, then practice with a small exercise.
• deploy - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Graphs, DP, backtracking
2. Week 2: Testing, deploy

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Add tests + deploy..

Key concepts explained

• 3 projects + READMEs - learn the fundamentals, then practice with a small exercise.
• Mock interviews - learn the fundamentals, then practice with a small exercise.
• Apply to SDE roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: 3 projects + READMEs
2. Week 2: Mock interviews
3. Week 3: Apply to SDE roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Capstone full-stack project..

Key concepts explained

• Circuit theory - learn the fundamentals, then practice with a small exercise.
• AC - learn the fundamentals, then practice with a small exercise.
• DC - learn the fundamentals, then practice with a small exercise.
• Three-phase systems - learn the fundamentals, then practice with a small exercise.
• Transformers - The architecture behind modern NLP/LLMs; uses attention to weigh all tokens.
• machines - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Circuit theory, AC/DC
2. Week 2: Three-phase systems
3. Week 3: Transformers & machines

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Simulate circuit problems..

Key concepts explained

• Grid structure - learn the fundamentals, then practice with a small exercise.
• Transmission - learn the fundamentals, then practice with a small exercise.
• distribution - learn the fundamentals, then practice with a small exercise.
• Per-unit - learn the fundamentals, then practice with a small exercise.
• load flow intro - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Grid structure
2. Week 2: Transmission & distribution
3. Week 3: Per-unit, load flow intro

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Model a distribution network..

Key concepts explained

• Relays - learn the fundamentals, then practice with a small exercise.
• breakers - learn the fundamentals, then practice with a small exercise.
• fuses - learn the fundamentals, then practice with a small exercise.
• Fault analysis - learn the fundamentals, then practice with a small exercise.
• Earthing - learn the fundamentals, then practice with a small exercise.
• safety - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Relays, breakers, fuses
2. Week 2: Fault analysis
3. Week 3: Earthing & safety

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Design a protection scheme..

Key concepts explained

• ETAP - Software for power system analysis (load flow, fault, protection).
• MATLAB - learn the fundamentals, then practice with a small exercise.
• Load flow - learn the fundamentals, then practice with a small exercise.
• short-circuit - learn the fundamentals, then practice with a small exercise.
• AutoCAD Electrical - Standard 2D drafting (and some 3D) software for drawings.

Suggested 4-week pace

1. Week 1: ETAP/MATLAB
2. Week 2: Load flow & short-circuit
3. Week 3: AutoCAD Electrical

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Run a load-flow study..

Key concepts explained

• Solar - learn the fundamentals, then practice with a small exercise.
• wind integration - learn the fundamentals, then practice with a small exercise.
• Energy storage - Retrieval-Augmented Generation - give an LLM relevant documents at query time for grounded answers.
• smart grids - learn the fundamentals, then practice with a small exercise.
• Power quality - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Solar & wind integration
2. Week 2: Energy storage, smart grids
3. Week 3: Power quality

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Grid-tied solar layout..

Key concepts explained

• Document studies - learn the fundamentals, then practice with a small exercise.
• Power systems prep - learn the fundamentals, then practice with a small exercise.
• Apply to power - learn the fundamentals, then practice with a small exercise.
• utility roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Document studies
2. Week 2: Power systems prep
3. Week 3: Apply to power/utility roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Full power-system study..

Key concepts explained

• Sensors - learn the fundamentals, then practice with a small exercise.
• actuators - learn the fundamentals, then practice with a small exercise.
• relays - learn the fundamentals, then practice with a small exercise.
• Open - learn the fundamentals, then practice with a small exercise.
• closed loop - Object-Oriented Programming - organizing code into classes/objects.
• Wiring - learn the fundamentals, then practice with a small exercise.
• safety - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Sensors, actuators, relays
2. Week 2: Open/closed loop
3. Week 3: Wiring & safety

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Wire a control circuit..

Key concepts explained

• Ladder logic - learn the fundamentals, then practice with a small exercise.
• Digital - Version control to track code changes and collaborate.
• analog I - learn the fundamentals, then practice with a small exercise.
• O - learn the fundamentals, then practice with a small exercise.
• Timers - learn the fundamentals, then practice with a small exercise.
• counters - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Ladder logic
2. Week 2: Digital & analog I/O
3. Week 3: Timers, counters

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Program a PLC process..

Key concepts explained

• HMI design - Human-Machine Interface - operator screens for machines.
• SCADA systems - Software to monitor and control industrial processes.
• Modbus - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: HMI design
2. Week 2: SCADA systems
3. Week 3: Modbus

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - HMI for your PLC project..

Key concepts explained

• Motor control - learn the fundamentals, then practice with a small exercise.
• VFDs - learn the fundamentals, then practice with a small exercise.
• PID tuning - learn the fundamentals, then practice with a small exercise.
• Industrial networks - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Motor control, VFDs
2. Week 2: PID tuning
3. Week 3: Industrial networks

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Automate a multi-stage process..

Key concepts explained

• Industrial IoT - learn the fundamentals, then practice with a small exercise.
• logging - learn the fundamentals, then practice with a small exercise.
• Robotics basics - learn the fundamentals, then practice with a small exercise.
• Energy monitoring - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Industrial IoT, logging
2. Week 2: Robotics basics
3. Week 3: Energy monitoring

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Add remote monitoring..

Key concepts explained

• Document projects - learn the fundamentals, then practice with a small exercise.
• PLC + control prep - Programmable Logic Controller - industrial computer that automates machines.
• Apply to automation roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Document projects
2. Week 2: PLC + control prep
3. Week 3: Apply to automation roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Complete automated process..

Key concepts explained

• Diodes - learn the fundamentals, then practice with a small exercise.
• MOSFETs - learn the fundamentals, then practice with a small exercise.
• IGBTs - learn the fundamentals, then practice with a small exercise.
• Switching basics - learn the fundamentals, then practice with a small exercise.
• Rectifiers - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Diodes, MOSFETs, IGBTs
2. Week 2: Switching basics
3. Week 3: Rectifiers

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Simulate a rectifier..

Key concepts explained

• Buck - learn the fundamentals, then practice with a small exercise.
• boost - learn the fundamentals, then practice with a small exercise.
• buck-boost - learn the fundamentals, then practice with a small exercise.
• Inverters - learn the fundamentals, then practice with a small exercise.
• PWM - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Buck/boost/buck-boost
2. Week 2: Inverters
3. Week 3: PWM

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Design a DC-DC converter..

Key concepts explained

• Motor drives - learn the fundamentals, then practice with a small exercise.
• Speed control - learn the fundamentals, then practice with a small exercise.
• Closed-loop control - Object-Oriented Programming - organizing code into classes/objects.

Suggested 4-week pace

1. Week 1: Motor drives
2. Week 2: Speed control
3. Week 3: Closed-loop control

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Simulate a motor drive..

Key concepts explained

• Control loops - Object-Oriented Programming - organizing code into classes/objects.
• MATLAB - learn the fundamentals, then practice with a small exercise.
• Simulink - learn the fundamentals, then practice with a small exercise.
• PSIM - learn the fundamentals, then practice with a small exercise.
• Stability - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Control loops
2. Week 2: MATLAB/Simulink, PSIM
3. Week 3: Stability

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Controlled converter model..

Key concepts explained

• SMPS - learn the fundamentals, then practice with a small exercise.
• UPS - learn the fundamentals, then practice with a small exercise.
• Grid-tie inverters - learn the fundamentals, then practice with a small exercise.
• Thermal - learn the fundamentals, then practice with a small exercise.
• EMI - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: SMPS, UPS
2. Week 2: Grid-tie inverters
3. Week 3: Thermal & EMI

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Application design study..

Key concepts explained

• Document designs - learn the fundamentals, then practice with a small exercise.
• Power electronics prep - learn the fundamentals, then practice with a small exercise.
• Apply to PE roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Document designs
2. Week 2: Power electronics prep
3. Week 3: Apply to PE roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Power-electronics capstone..

Key concepts explained

• Switches - learn the fundamentals, then practice with a small exercise.
• converters - learn the fundamentals, then practice with a small exercise.
• Inverters - learn the fundamentals, then practice with a small exercise.
• Switching concepts - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Switches & converters
2. Week 2: Inverters
3. Week 3: Switching concepts

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Simulate a DC-DC converter..

Key concepts explained

• DC - learn the fundamentals, then practice with a small exercise.
• induction - learn the fundamentals, then practice with a small exercise.
• BLDC - learn the fundamentals, then practice with a small exercise.
• Motor control - learn the fundamentals, then practice with a small exercise.
• Drives - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: DC, induction, BLDC
2. Week 2: Motor control
3. Week 3: Drives

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Model a motor drive..

Key concepts explained

• Battery chemistry - learn the fundamentals, then practice with a small exercise.
• packs - learn the fundamentals, then practice with a small exercise.
• BMS - learn the fundamentals, then practice with a small exercise.
• Charging - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Battery chemistry & packs
2. Week 2: BMS
3. Week 3: Charging

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Design BMS logic..

Key concepts explained

• PV array design - A contiguous list of elements; fast index access - the most basic data structure.
• MPPT - learn the fundamentals, then practice with a small exercise.
• inverters - learn the fundamentals, then practice with a small exercise.
• Wind basics - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: PV array design
2. Week 2: MPPT, inverters
3. Week 3: Wind basics

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Size a PV system..

Key concepts explained

• EV powertrain - learn the fundamentals, then practice with a small exercise.
• Charging infrastructure - learn the fundamentals, then practice with a small exercise.
• Grid - learn the fundamentals, then practice with a small exercise.
• storage - Retrieval-Augmented Generation - give an LLM relevant documents at query time for grounded answers.

Suggested 4-week pace

1. Week 1: EV powertrain
2. Week 2: Charging infrastructure
3. Week 3: Grid & storage

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - EV charging layout..

Key concepts explained

• Document projects - learn the fundamentals, then practice with a small exercise.
• Interview prep - learn the fundamentals, then practice with a small exercise.
• Apply to EV - learn the fundamentals, then practice with a small exercise.
• renewable roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Document projects
2. Week 2: Interview prep
3. Week 3: Apply to EV/renewable roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - EV or solar design..

Key concepts explained

• Loads - learn the fundamentals, then practice with a small exercise.
• cables - learn the fundamentals, then practice with a small exercise.
• protection - learn the fundamentals, then practice with a small exercise.
• Codes - learn the fundamentals, then practice with a small exercise.
• standards - learn the fundamentals, then practice with a small exercise.
• Single-line diagrams - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Loads, cables, protection
2. Week 2: Codes & standards
3. Week 3: Single-line diagrams

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Draw a single-line diagram..

Key concepts explained

• Schematics - learn the fundamentals, then practice with a small exercise.
• panels - learn the fundamentals, then practice with a small exercise.
• Symbols - learn the fundamentals, then practice with a small exercise.
• libraries - learn the fundamentals, then practice with a small exercise.
• Wiring diagrams - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Schematics & panels
2. Week 2: Symbols & libraries
3. Week 3: Wiring diagrams

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Panel wiring design..

Key concepts explained

• Load calculations - learn the fundamentals, then practice with a small exercise.
• Cable - learn the fundamentals, then practice with a small exercise.
• breaker sizing - learn the fundamentals, then practice with a small exercise.
• Earthing - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Load calculations
2. Week 2: Cable & breaker sizing
3. Week 3: Earthing

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Full load schedule..

Key concepts explained

• Illumination design - learn the fundamentals, then practice with a small exercise.
• Power distribution - learn the fundamentals, then practice with a small exercise.
• Energy efficiency - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Illumination design
2. Week 2: Power distribution
3. Week 3: Energy efficiency

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Building electrical layout..

Key concepts explained

• BOQ - learn the fundamentals, then practice with a small exercise.
• specifications - learn the fundamentals, then practice with a small exercise.
• Design review - learn the fundamentals, then practice with a small exercise.
• Standards compliance - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: BOQ & specifications
2. Week 2: Design review
3. Week 3: Standards compliance

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Complete design package..

Key concepts explained

• Document designs - learn the fundamentals, then practice with a small exercise.
• Design + standards prep - learn the fundamentals, then practice with a small exercise.
• Apply to design roles - learn the fundamentals, then practice with a small exercise.

Suggested 4-week pace

1. Week 1: Document designs
2. Week 2: Design + standards prep
3. Week 3: Apply to design roles

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Electrical design capstone..

Key concepts explained

• Python - A beginner-friendly, versatile language used across data, AI, web and automation. Learn syntax, data types, loops, functions, and OOP.
• Java - learn the fundamentals, then practice with a small exercise.
• C++ - learn the fundamentals, then practice with a small exercise.
• OOP - Object-Oriented Programming - organizing code into classes/objects.
• Git - Version control to track code changes and collaborate.
• Arrays - A contiguous list of elements; fast index access - the most basic data structure.
• Big-O - Notation for how an algorithm's time/space grows with input size.

Suggested 4-week pace

1. Week 1: Python/Java/C++
2. Week 2: OOP, Git
3. Week 3: Arrays, Big-O

How to study: for each topic watch or read one good resource, take short notes, then immediately apply it in a tiny exercise. Target ~15-20 focused hours this month and keep all work on GitHub/a portfolio.

Done when: you can explain each concept in your own words and you have completed the project - Small CLI app..

Key concepts explained

• Recursion - A function calling itself to solve smaller subproblems.
• binary search - Efficiently find an item in sorted data by halving the search range.
• Linked lists - A chain of nodes; good for insertions/deletions.
• stacks - Last-in-first-out structure (undo, function calls).
• queues - First-in-first-out structure (scheduling, BFS).

Suggested 4-week pace

1. Week 1: Recursion, binary search
2. Week 2: Linked lists, stacks, queues