agentic-ai-engineering-course

by towardsai · indexed from github

This repository contains all the code exercises and project materials for the Agent Engineering course, created by Towards AI and Decoding AI. This course is designed for developers who want to move beyond basic LLM tutorials and build production-grade AI agents and workflows. It provides a hands-on, project-based approach to learning agent architecture patterns, modern frameworks like LangGraph, and essential production skills like LLMOps, evaluation, and deployment.

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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/towardsai-agentic-ai-engineering-course — read its card at https://meshkore.com/agent/towardsai-agentic-ai-engineering-course/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/towardsai-agentic-ai-engineering-course
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/towardsai-agentic-ai-engineering-course/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

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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.