Awesome AI Agents › Courses and Tutorials
This project, "awesome-agentic-ai-zh," serves as a comprehensive, trilingual (Traditional Chinese, English, Simplified Chinese) learning roadmap for agentic AI. It guides users from fundamental Large Language Model (LLM) concepts to advanced multi-agent system development. The repository is structured into 8 progressive stages, with two distinct learning tracks: one for CLI power users who want to leverage existing CLI agents, and another for agent builders keen on developing agents from scratch. It features over 240 meticulously curated resources, including projects, tutorials, and essential readings, each annotated with recommendations, target audience, learning objectives, and execution instructions. The project also provides 23 basic illustrative coding exercises, complete with dual-path SDK comparisons (Ollama/Anthropic SDK) and mock-based tests, to solidify learning at each stage. Special attention is given to the Chinese AI ecosystem, covering platforms like DeepSeek, Zhipu, and Kimi, as well as the Model Context Protocol (MCP) and skill catalogs. The project emphasizes practical application, aiming to transition users from being mere LLM users to proficient agent system constructors capable of understanding frameworks, designing multi-agent collaborations, and developing custom MCP servers. It also includes sections on integrating CLI agents into real-world workflows, cost optimization, and observability, making it a valuable resource for developers, researchers, and anyone looking to delve deep into the world of AI agents.
https://github.com/WenyuChiou/awesome-agentic-ai-zh
A comprehensive guide and resource hub for prompt engineering, context engineering, retrieval-augmented generation, and AI agents, offering tutorials, papers, tools, and courses to optimize the use of large language models.
Learn Claude Code is an educational project that teaches how to build modern AI coding agents like Claude Code through a progressive tutorial covering core concepts, planning, subagents, and skills mechanisms.
AI Engineering Hub is a comprehensive repository offering in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for learners and practitioners.
The Hugging Face Agents Course is a comprehensive educational resource that teaches the fundamentals and advanced concepts of AI agents and large language models through structured units, practical frameworks, and community collaboration.
GenAI_Agents is a comprehensive repository offering tutorials, implementations, and community resources for building and advancing generative AI agents from basic to advanced levels.
This course provides a comprehensive project-based tutorial on Harness Engineering for building reliable AI coding agents, covering environment setup, state management, verification, and control.
An AI-powered tool that analyzes GitHub repositories and generates beginner-friendly tutorials with visualizations to simplify understanding complex codebases.
A comprehensive guide to prepare for machine learning and AI technical interviews at major tech companies, covering coding, ML fundamentals, system design, and behavioral aspects.