Roadmap¶
Curriculum Map¶
graph TD
V1["Vol 1<br/>Foundations"] --> V2["Vol 2<br/>Python Engineering"]
V2 --> V3["Vol 3<br/>Machine Learning"]
V3 --> V4["Vol 4<br/>Deep Learning"]
V4 --> V5["Vol 5<br/>Transformers"]
V5 --> V6["Vol 6<br/>LLMs"]
V6 --> V7["Vol 7<br/>RAG"]
V6 --> V8["Vol 8<br/>AI Agents"]
V7 --> V8
V8 --> V9["Vol 9<br/>MLOps"]
V9 --> V10["Vol 10<br/>Enterprise AI"]
style V1 fill:#1e40af,color:#fff
style V2 fill:#1e40af,color:#fff
style V3 fill:#1d4ed8,color:#fff
style V4 fill:#1d4ed8,color:#fff
style V5 fill:#2563eb,color:#fff
style V6 fill:#2563eb,color:#fff
style V7 fill:#3b82f6,color:#fff
style V8 fill:#3b82f6,color:#fff
style V9 fill:#60a5fa,color:#fff
style V10 fill:#93c5fd,color:#000 Completion Status¶
| Volume | Title | Chapters | Status |
|---|---|---|---|
| 01 | Foundations of AI | Ch 0-3 | In Progress |
| 02 | Python Engineering | Ch 1-3 | In Progress |
| 03 | Machine Learning | Ch 1-4 | Planned |
| 04 | Deep Learning | Ch 1-4 | Planned |
| 05 | Transformers | Ch 1-3 | Planned |
| 06 | Large Language Models | Ch 1-4 | Planned |
| 07 | RAG | Ch 1-3 | Planned |
| 08 | AI Agents | Ch 1-3 | Planned |
| 09 | MLOps | Ch 1-3 | Planned |
| 10 | Enterprise AI | Ch 1-3 | Planned |
Modern AI Stack¶
graph TB
User["User / Application"]
FE["Frontend"]
API["API Gateway"]
BL["Business Logic"]
Orch["LLM Orchestration<br/>(LangChain / LlamaIndex)"]
Ret["Retrieval Layer"]
VDB["Vector Database"]
LLM["LLM Inference"]
Mon["Observability & Monitoring"]
User --> FE --> API --> BL --> Orch
Orch --> Ret --> VDB
Orch --> LLM
LLM --> Mon
Orch --> Mon
style LLM fill:#7c3aed,color:#fff
style VDB fill:#0891b2,color:#fff
style Mon fill:#059669,color:#fff Note
LLMs are one component of a production AI system. This course covers the entire stack.