Foundation · Weeks 0-6
This phase should deliver a portfolio artifact you can show:
- Python
- Linear algebra
- Statistics
- Pandas & NumPy
Core ML · Weeks 6-14
This phase should deliver a portfolio artifact you can show:
- Supervised learning
- Model evaluation
- scikit-learn
- Feature engineering
Deep Learning · Weeks 14-22
This phase should deliver a portfolio artifact you can show:
- Neural nets
- CNNs
- Transformers
- PyTorch
Applied AI · Weeks 22-30
This phase should deliver a portfolio artifact you can show:
- LLMs
- RAG
- Agents
- MLOps
Weekly cadence
How to structure each week:
- 3-4 focused study blocks
- 1 project checkpoint
- 1 hour of review + notes
- One community post or share
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