KDnuggets Curates 5 Free Agentic AI Resources for Hands-On and Theoretical Learning
Updated
Updated · KDnuggets · Jul 17
KDnuggets Curates 5 Free Agentic AI Resources for Hands-On and Theoretical Learning
3 articles · Updated · KDnuggets · Jul 17
Summary
Five free resources highlighted by KDnuggets span beginner courses, engineering guides, academic theory and evaluation material aimed at helping users understand why AI agents fail, loop or misuse tools.
Microsoft’s GitHub course offers more than 15 lessons with videos and Python examples, while Hugging Face’s free course compares smolagents, LlamaIndex and LangGraph and ends with a benchmarked project and certificate.
Anthropic’s guide focuses on practical agent patterns and warns that added autonomy raises costs and error risks, arguing teams should use the simplest workflow that solves the problem.
The list also points readers to Shoham and Leyton-Brown’s free Multiagent Systems text for game-theory foundations and Google’s five-part Kaggle whitepaper series, with evaluation singled out as the most under-taught production skill.