ai-agent-systems-course
MCP-ServerGitHubAktivPython
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.
Herkunft der Beschreibung: Originalquelle
Gemessen: 19.10.2026 · 61 Beobachtungen
Bereiche & Einsatzzwecke
- Bereiche
- Agenten, Skills und MCP
- Einsatzzwecke
- Workflows
An der Quelle prüfen
Kompatibilität und Voraussetzungen in der offiziellen Dokumentation prüfen.
https://github.com/MSKazemi/ai-agent-systems-courseKlassifikationen
- Art
- Ressource
Messverlauf
Vergleichbare Messwerte sind nach Signal und Einheit gruppiert.
Sterne
0Sterne · 19.10.2026
0seit 14.08.2026
Genaue Werte · 61 Messungen
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