Courses that put the library in an order, and paths that put the courses in one.
Call a model API, stream the reply, and get back output your code can rely on.
3 courses · 85 min of lessons · exercises additional
Prerequisite: No prior LLM experience
What it covers
Chunk and embed your documents, retrieve the passages that answer a question, and generate from them.
2 courses · 55 min of lessons · exercises additional
Prerequisite: Comfortable calling an API
Give a model tools, write the loop that calls them, and expose your own over MCP.
2 courses · 60 min of lessons · exercises additional
Prerequisite: Build your first AI app first
Evaluate before you ship, then trace failures, watch cost and latency, and constrain what reaches users.
The request and response shapes of the three major APIs, and what survives a move between them.
7 lessons · 22 min · Working with models
Instructions that survive a model change, an adversarial user and a second reader.
7 lessons · 24 min · Working with models
Turning text into vectors, and the store that finds the nearest ones.
6 lessons · 20 min · Retrieval and knowledge
Chunking, storage, retrieval and generation, and the failure each stage introduces.
8 lessons · 35 min · Retrieval and knowledge