#3636th of 65 in Learning and cookbooks
agents
Six-week course with notebooks for building and deploying AI agents
- Stars
- 6.5k
- License
- MIT
- Last commit
- Oct 2026
- Language
- Jupyter Notebook
4,491 on 4 Apr 20266,524 on 31 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Course repository for the Agentic AI Engineering course by Ed Donner. It holds Jupyter notebooks and guides covering the OpenAI Agents SDK, CrewAI, LangGraph, Google ADK, Pydantic AI and MCP over six weeks. Setup guides exist for Windows, Mac and Linux; the README says the content was refreshed in Summer 2026.
Who it is for: Developers learning to build agents with Python frameworks
Strengths
- Covers six frameworks in one course: OpenAI Agents SDK, CrewAI, LangGraph, Google ADK, Pydantic AI, MCP
- Separate setup guides for Windows, Mac and Linux
- Guide on running with cheaper APIs like DeepSeek or free local Ollama
- MIT licensed
Weaknesses
- Videos and course resources are hosted outside the repo
- Default path needs an OpenAI API key and some paid usage
- Notebooks only; no packaged app, release or Docker setup
- README gives no hardware requirements
What it needs
- no GPU
- Needs OpenAI API key (or DeepSeek, Gemini), Ollama (optional)
- Models: OpenAI, DeepSeek, Gemini, Ollama
Quick answers
Is agents open source?
Yes. Its code is on GitHub under the MIT license.
Does agents need a GPU?
No, it runs without one.
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