Beginner
Beginner
How LLMs work, prompting, embeddings and vector search.
- LLM fundamentals
- Tokenization
- Embeddings
- Sampling and decoding
- +5 more
5 paths
Learning paths
A path lists modules in a sensible order. Paths share lessons, so you can change your mind and move between them.
- Intermediate
Intermediate
Retrieval-augmented generation and document AI.
- Document processing
- Retrieval
- Retrieval-augmented generation
- RAG evaluation
- +2 more
- Advanced
Advanced
Tools, agents, MCP, memory, multi-agent systems and safety.
- Tool calling
- Agents
- Model Context Protocol
- Context engineering
- +3 more
- Production
Production
Cost, serving, observability, evaluation, fine-tuning and system design.
- Retrieval-augmented generation
- Agents
- Safety and guardrails
- Cost and latency
- +7 more
- Interview
Interview
Interview preparation across the course: fundamentals, RAG, agents, safety, production and system design.
- LLM fundamentals
- Tokenization
- Embeddings
- Sampling and decoding
- Model selection
- Document processing
- +14 more
Not sure which path?
The Start page shows how to choose, and suggests a first lesson.