Phase 11

LLM Engineering

Phase 11: LLM Engineering. 17 hands-on lessons building AI from first principles in the browser. Free reading; graded exercises and certificate with lifetime access.

1. Prompt Engineering: Techniques & Patterns (graded)
2. Few-Shot, Chain-of-Thought, Tree-of-Thought (graded)
3. Structured Outputs: JSON, Schema Validation, Constrained Decoding (graded)
4. Embeddings & Vector Representations (graded)
5. Context Engineering: Windows, Budgets, Memory, and Retrieval (graded)
6. RAG (Retrieval-Augmented Generation) (graded)
7. Advanced RAG (Chunking, Reranking, Hybrid Search) (graded)
8. Fine-Tuning with LoRA & QLoRA
9. Function Calling & Tool Use (graded)
10. Evaluation & Testing LLM Applications (graded)
11. Caching, Rate Limiting & Cost Optimization (graded)
12. Guardrails, Safety & Content Filtering (graded)
13. Building a Production LLM Application
14. Model Context Protocol (MCP)
15. Prompt Caching and Context Caching
16. LangGraph — State Machines for Agents
17. Agent Framework Tradeoffs — LangGraph vs CrewAI vs AutoGen vs Agno