ai-agent-systems-course
Serveur MCPGitHubActifPython
Hands-on, self-paced course for building AI agent systems in Python: MCP (Model Context Protocol), A2A (Agent-to-Agent), LangGraph/LangChain, DeepAgent, and a ReAct code-executor agent. Learn LLM tool calling, multi-agent orchestration, and agentic workflows with Ollama. Taught at the University of Bologna.
Mesuré: 19 oct. 2026 · 61 observations
Domaines & Usages
- Domaines
- Agents, skills et MCP
- Usages
- Flux de travail
À vérifier à la source
Compatibilité et prérequis sont à vérifier dans la documentation officielle.
https://github.com/MSKazemi/ai-agent-systems-courseClassifications
- Nature
- Ressource
Historique des mesures
Les relevés comparables sont regroupés par signal et unité.
Étoiles
0étoiles · 19 oct. 2026
0depuis le 14 août 2026
Valeurs exactes · 61 relevés
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