Build a tool-using AI agent: ReAct loop, function calling and typed output

Build an agent that acts: ReAct loop, function calling with validated arguments, real tools and typed output with PydanticAI.

Start lesson 1 The Applied AI domain

4 lessons
~3 h 05 of reading
4 quizzes
0 proof lab

The path

Where it comes from, where it leads

What you need to know first, where you stand on this skill, and what it opens next. Your status is computed in your browser, from what you have read and passed.

Before · 1 prerequisite

Call an LLM from Python: completion, streaming, conversation, structured output and images

This skill, for you

Build a tool-using AI agent: ReAct loop, function calling and typed output

Computing

It unlocks · 2 skills

Lessons

How to learn it

4 lessons, about ~3 h 05, in program order. Each lesson ends with its quiz.

The program

4 lessons · ~3 h 05

Part 1 · Inférence (in French) 1 lesson · ~45 min

1Ollama : tool calling et agents locaux (in French)· 45 min

Part 2 · Agentique (in French) 3 lessons · ~2 h 20

2Comprendre les agents IA (in French)· 45 min
3Function calling et outils (in French)· 45 min
4Agents typés avec PydanticAI (in French)· 50 min

Beyond the lessons

Assess, practise, pass the proof

Reading a lesson confirms nothing. A skill is confirmed by a passed quiz, practised in a guided lab, and put to the test by a challenge or a mission; an imported lab result is not verified by the site.

Assess yourself

4 quizzes

At the end of the lessons: passed at 70%, they confirm the skill.

Practice

No guided lab

No guided lab practices it yet.

Proof

No proof

Neither a challenge nor a mission with a proof yet.

Around it

Who requires it, who teaches it

Required by

No published job requires it yet.

Taught by

Python IA (in French)

Same block · Build AI agents