Summary

Getting Started

• Overview
• Prerequisites
• Setup

Part I — Foundations

• Overview
• 1. Model Basics
• 2. Prompting
• 3. Structured Output
• 4. Embeddings & Search
• 5. RAG & Retrieval Tuning

Part II — Systems

• Overview
• 6. Tool Calling
• 7. Agents
• 8. Memory
• 9. MCP
• 10. Evaluation & Testing

Part III — Extending the Stack

• Overview
• 11. Open-Source & Local Models
• 12. Multimodal AI
• 13. Fine-Tuning

Part IV — Production

• Overview
• 14. Safety & Guardrails
• 15. Streaming & Real-Time UX
• 16. Observability & LLMOps
• 17. Caching & Cost
• 18. Deployment

Extras

• Study Path
• Capstone
• References