16-Week Curriculum

Python, NumPy, Pandas & EDA

Linear Algebra, Calculus, Probability & Statistics

Logistic Regression, Linear Regression, Calibration, kNN & Naive Bayes

Decision Trees, SVM, Ensembles, ML Failure Modes & ML Lab

Feature Engineering, Evaluation, Bias-Variance & Debugging

Data Pipelines, Multi-Table Joins, Neural Networks & Backprop

Activations, Optimization, DL Lab, CNN Basics & Modern CNNs

Transfer Learning, Augmentation, CNN Lab, Tokenization & Classical NLP

Embeddings, RNNs, NLP Lab, Vectorized Softmax & Self-Attention

Transformers, LLM Training, Tokenization, Fine-Tuning & Attention Optimizations

Embeddings for Retrieval, Vector DBs, RAG & Prompt Engineering

MLOps Pipelines, Model Registry, Monitoring, Scaling & Deployment

ML System Design, Feature Stores, Real-Time Inference & Case Studies

Recs System Design, Fraud Detection, LLM Inference & Distributed Training

LLMs in Production, Retrieval Systems, Agents & FAANMG Drills