Intermédiaire Quartier du code

L'IA pour les développeurs

Créez avec les API de LLM, les prompts, le RAG et les agents.

Large language models can now write, summarize, translate, classify and even call your own code, and adding one to an app takes a single HTTP request. This track is for developers who can already program. You learn how models really work (tokens, context windows, next-token prediction and why they can be confidently wrong), call the Anthropic Messages API correctly, write prompts that return reliable JSON, stream answers and keep costs under control. Then you build real features: tool use, retrieval-augmented generation with embeddings, agents with guardrails and MCP, and the safety and testing habits that keep all of it trustworthy.

Every request is shown exactly as it travels over the network.

Leçons: 14
Durée: 2 h
Niveau: Intermédiaire

Commencer le parcours · How LLMs work

Les leçons de ce parcours sont en anglais pour le moment.

Bronze disponible
Argent disponible
Or verrouillé

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Ce que vous saurez faire

Explain tokens, context windows and sampling, and why models can be confidently wrong
Call the Anthropic Messages API safely from a server, with streaming
Write prompts that return JSON, and validate it before you trust it
Control cost and limits with token budgets, caching and retries
Build tool use, RAG and a small agent with guardrails
Defend against prompt injection and measure quality with evals

L'itinéraire

1
Module 1
Working with models

How LLMs work, your first API call, prompting, streaming and costs.

0 / 5
2
Module 2
Building real features

Tool use, retrieval, agents, safety and evaluation.

0 / 5
3
Module 3
Next level

Structured outputs, images and documents, deeper evals and your own MCP server.

0 / 4