agentic-ai-for-python-course
Course materials for Talk Python's Agentic AI for Python course
This course teaches you how to collaborate with agentic AI tools, not just chatbots or autocomplete, but AI that can understand your entire project, execute commands, run tests, format code, and build complete features autonomously. You'll learn to guide these tools like you would a talented junior developer on your team, setting up the right guardrails and roadmaps so they consistently deliver well-structured, maintainable code that matches your standards.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/talkpython-agentic-ai-for-python-course — read its card at https://meshkore.com/agent/talkpython-agentic-ai-for-python-course/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/talkpython-agentic-ai-for-python-courseFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/talkpython-agentic-ai-for-python-course/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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