The Zero-to-Hero Spine

Every module is free to read. Sign in to BXUP to track progress, run the hands-on exercises and take the assessments.

Foundations

7 modules · 40 hours

• 0.1 · Your machine, set up right 4h
• 0.2 · Git & GitHub as an engineer 5h
• 0.3 · Python that AI actually uses 8h
• 0.4 · NumPy 5h
• 0.5 · Pandas 8h
• 0.6 · SQL for AI people 4h
• 0.7 · The maths you will actually use 6h

Classical Machine Learning

12 modules · 80 hours

• 1.1 · Framing an ML problem 4h
• 1.2 · Full ML loop once, end to end 6h
• 1.3 · Linear & logistic regression 8h
• 1.4 · Trees, RF, boosting, XGBoost 10h
• 1.5 · Evaluation & metrics deep dive 8h
• 1.6 · Feature engineering & encoding 8h
• 1.7 · Leakage, imbalance, split discipline 6h
• 1.8 · CV, tuning, model selection 6h
• 1.9 · Unsupervised learning 8h
• 1.10 · Time series basics 6h
• 1.11 · Interpreting models 5h
• 1.12 · Recommendation systems intro 5h

Deep Learning

10 modules · 70 hours

• 2.1 · Regression to neuron to network 5h
• 2.2 · Backprop, intuitively then in code 6h
• 2.3 · PyTorch properly 10h
• 2.4 · Making training actually work 8h
• 2.5 · CNNs and computer vision 10h
• 2.6 · Transfer learning (vision) 6h
• 2.7 · RNN to LSTM to why attention won 6h
• 2.8 · The Transformer, block by block 10h
• 2.9 · Training on a poor man's machine 5h
• 2.10 · Hugging Face ecosystem 4h

LLMs, RAG & Agents

11 modules · 80 hours

• 3.1 · How an LLM works at inference 6h
• 3.2 · Working with LLM APIs properly 8h
• 3.3 · Prompt engineering as engineering 8h
• 3.4 · Embeddings & vector search 6h
• 3.5 · RAG v1 - working pipeline 8h
• 3.6 · RAG that survives production 10h
• 3.7 · Evaluating LLM systems 8h
• 3.8 · Tool use / function calling 6h
• 3.9 · Agents 8h
• 3.10 · Fine-tuning + decision framework 6h
• 3.11 · Safety, guardrails, DPDP 6h

Production & MLOps

9 modules · 60 hours

• 4.1 · Notebook to repo 6h
• 4.2 · Serving with FastAPI 8h
• 4.3 · Docker for ML 6h
• 4.4 · MLflow tracking & registry 5h
• 4.5 · Testing ML code 6h
• 4.6 · CI/CD with GitHub Actions 5h
• 4.7 · Cloud deployment (AWS) 10h
• 4.8 · Monitoring 8h
• 4.9 · Scaling & cost control 6h

Five Real Projects

5 modules · 120 hours

• P1 · Credit-risk / churn predictor + API 22h
• P2 · Document intelligence pipeline 22h
• P3 · Enterprise RAG assistant + eval harness 26h
• P4 · Tool-using agent workflow 26h
• P5 · Team project on inherited broken codebase 24h

Interview & Placement

9 modules · 60 hours

• 6.1 · How Indian companies actually hire 3h
• 6.2 · Online assessment prep 8h
• 6.3 · Coding round for AI roles 12h
• 6.4 · ML theory viva bank 10h
• 6.5 · ML system design / case round 8h
• 6.6 · Project defence drills 6h
• 6.7 · Communication for Indian students 6h
• 6.8 · Resume, GitHub, LinkedIn, portfolio 4h
• 6.9 · HR round, offer, BGV 3h