LLM Engineering

Put LLMs to work in production applications.

Цена: 11 074 ₽

Длительность: 15 ч

Автор: John Jackson

Программа курса

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