Popular

Building AI Apps with LLMs

From first API call to a feature you can ship: prompting, structured output, tool calling, streaming, and cost control.

Intermediate2h 27m4 modules26.4k students

What you'll learn

Reason about tokens, context windows, and sampling instead of treating the model as a black box.

Make a model return data your program can rely on, and validate it before you use it.

Let the model call your functions, and keep the loop bounded and observable.

Stream responses, cache what repeats, and keep latency and spend under control.

4 modules · 2h 27m