awesome-agentic-ai-zh
Provides structured learning pathway for AI agents with hands-on exercises and curated readings, reducing onboarding time for teams building agentic systems.
A trilingual (Traditional Chinese, Simplified Chinese, English) learning roadmap for AI agents: 8 structured stages from basic LLM concepts to building multi-agent systems, with 240+ curated resources and 23 hands-on exercise folders using dual-path Ollama / Anthropic SDK starters. A learning resource you read and work through, not an installable skill.
- Find structured learning paths for AI agents from beginner to advanced levels.
- Access curated reading materials and hands-on exercises for each learning stage.
- Study AI agent concepts with multilingual support in Traditional Chinese, Simplified Chinese, and English.
Provides structured learning pathway for AI agents with hands-on exercises and curated readings, reducing onboarding time for teams building agentic systems. Trilingual format expands accessibility across distributed engineering teams.
Engineering teams building AI agent systems seeking organized curriculum with practical exercises and multilingual reference materials.
https://github.com/WenyuChiou/awesome-agentic-ai-zh
By WenyuChiou
How to Get It
git clone https://github.com/WenyuChiou/awesome-agentic-ai-zh.git
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After installing, paste this into Claude:
Help me find structured learning paths for AI agents from beginner to advanced levels
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Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 5,281 GitHub stars; 11 contributors; last commit 1d ago; license MIT.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 5,281 GitHub stars; 11 contributors; last commit 1d ago; license MIT.