AI / ML Engineering

NumPy, Pandas, Matplotlib: the data stack every ML engineer uses daily.

• Kaggle: Python Course (free)coursefree
• Kaggle: Pandas Course (free)coursefree
• Python Data Science Handbook (free online)docfree

• NumPy array operations & broadcasting
• Pandas groupby & merge
• Matplotlib + Seaborn EDA plots
• EDA on a real Kaggle dataset

Vectors, matrices, dot products, probability distributions: the math underneath every model.

• 3Blue1Brown: Essence of Linear Algebra (YouTube)videofree
• Khan Academy: Statistics & Probabilitycoursefree
• fast.ai: Practical Deep Learning Part 2 (math)coursefree

• Matrix multiplication by hand & in NumPy
• Bayes theorem applied to a real problem
• Gradient descent visualised

Regression, classification, clustering, model evaluation, and feature engineering.

• Andrew Ng: Machine Learning Specialization (Coursera)coursefree
• Scikit-learn User Guidedocfree
• Kaggle: Intro to ML Coursecoursefree

• Train/val/test split strategy
• Cross-validation & hyperparameter tuning
• Feature importance & selection
• Titanic Kaggle competition (top 20%)

Imputation, encoding, scaling, and building reproducible sklearn pipelines.

• Kaggle: Feature Engineering Coursecoursefree
• Hands-On ML with Scikit-Learn (O'Reilly)coursepaid

• Pipeline with ColumnTransformer
• Target encoding vs. one-hot
• Outlier detection & treatment

Neural networks, CNNs, RNNs, training loops, and GPU acceleration.

• fast.ai: Practical Deep Learning for Coders (free)coursefree
• PyTorch Official Tutorialsdocfree
• Deep Learning Specialization: Andrew Ng (Coursera)coursefree

• Train a CNN on CIFAR-10
• Custom training loop with gradient clipping
• Transfer learning with ResNet

Use pre-trained LLMs, fine-tune with LoRA/PEFT, and build text/embedding pipelines.

• HuggingFace NLP Course (free)coursefree
• HuggingFace PEFT Docs (LoRA)docfree

• Text classification with BERT
• Fine-tune with LoRA on a custom dataset
• Sentence embeddings with sentence-transformers

Retrieval-augmented generation: vector stores, embeddings, and multi-step chains.

• LangChain Python Docsdocfree
• Pinecone: Vector Database Docsdocfree
• DeepLearning.AI: LangChain for LLM App Development (free)coursefree

• Document ingestion + chunking pipeline
• Semantic search with pgvector
• RAG chatbot over custom docs

Serve ML models as REST APIs with FastAPI, async loading, and background tasks.

• FastAPI Docsdocfree
• testdriven.io: FastAPI + MLarticlefree

• Model loading on startup (lifespan)
• Async prediction endpoint
• Response validation with Pydantic

Experiment tracking, model registry, and serverless GPU deployment with Modal.

• MLflow Docsdocfree
• Modal.com Docsdocfree
• HuggingFace Spaces (free GPU hosting)linkfree

• Log experiments + compare runs in MLflow UI
• Deploy model to Modal serverless GPU
• Gradio demo on HuggingFace Spaces