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An LLM agent is a system that can execute tasks given in natural language or structured formats. It uses the planning capabilities of Large Language Models (LLMs) by calling tools that enable interaction with its environment. The agent also includes a memory mechanism. Both the agent's process and outcomes are non-deterministic.

The complete hands-on Docker course — 22 real terminal labs covering CLI, registries, Dockerfiles, networking, Compose, security, cleanup, production hardening, and a final interview exam. Built like KodeKloud.

The 19 FAANG coding-interview patterns plus an AI-era track (gradient descent, neural nets, transformers, tokenization, vector search, RAG, LLM decoding) — every topic with interactive step-through animations.

un cours dédié pour les étudiants en licence TI ou toute personne qui veut apprendre le web.

Inspect, reproduce, and isolate failures across browsers, APIs, and distributed systems.

Build real machine learning systems from first principles — then discover why your first working model was lying to you, and fix it.

Connect quality work to product discovery, delivery, operations, and risk.

Design and lead risk-based testing from requirements through release sign-off.