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ai-agent-systems-course

MCP serverGitHubActivePython

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.

Description provenance: Original source

Open canonical source

Measured: Oct 19, 2026 · 61 observations

Domains & Uses

Domains
Agents, skills and MCP
Uses
Workflows

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/MSKazemi/ai-agent-systems-course

Classifications

Nature
Resource

Measurement history

Comparable readings are grouped by signal and unit.

Stars

0stars · Oct 19, 2026

0since Sep 20, 2026

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