Generative AI agent tutorials
A repository of 50+ tutorials and implementations for building Generative AI agents, from basic conversational bots to complex multi-agent systems.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Choose this for a more production/deployment-focused tutorial series from the same author.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Choose this for a compact, practical course for software engineers with Apache-2.0 licensing.
Agent Engineer - a practical course for software engineers
Choose this for a concise O'Reilly-style introduction to AI agents with notebooks.
An introduction to the world of AI Agents
Choose this for a structured, interactive course from Hugging Face with hands-on exercises.
This repository contains the Hugging Face Agents Course.
Choose this for a Chinese-language, LangChain/LangGraph-specific comprehensive guide with production focus.
📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南
Choose this for a project-based LangChain v1+/LangGraph course with code interpreters and reflection agents.
A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.
Choose this for an equally broad collection of LLM/RAG/agent tutorials with MIT license.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose this for a broader GenAI roadmap, interview prep, and use cases beyond just agents.
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Choose this for in-depth prompt/context engineering fundamentals, with agents as a secondary topic.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose this for agent examples tightly integrated with MongoDB Atlas and its data stack.
MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.
These projects were analysed and named GenAI_Agents among their alternatives. The relationship is not symmetric — how GenAI_Agents rates them is a separate judgement, made when GenAI_Agents is analysed in its own right.
calls GenAI_Agents “large set of tutorials covering AI agent techniques from basic to advanced”
18 Lessons to Get Started Building AI Agents
calls GenAI_Agents “Choose for hands-on Jupyter notebooks covering many agent patterns instead of a structured MDX course.”
This repository contains the Hugging Face Agents Course.
calls GenAI_Agents “When you want the same author's broader set of agent techniques, including more basic examples and a wider range of patterns.”
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
calls GenAI_Agents “Choose it for 50+ runnable English Jupyter notebooks on agent techniques; the seed instead covers low-code Coze/Dify and hiring-oriented content.”
🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
calls GenAI_Agents “Choose it if you prefer runnable Jupyter notebooks for 50+ agent techniques over a structured textbook.”
A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.｜从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch
calls GenAI_Agents “Choose if you want to learn to build GenAI agents from scratch with code rather than use AI to ship products.”
💻 vibe coding 101｜The first course for AI-native product builders.
calls GenAI_Agents “choose when you prefer a large collection of runnable agent technique notebooks over a structured architecture course”
Use agent to learn agent - A skeleton course on how to design, build, and operate production AI agents
calls GenAI_Agents “Take it when you learn better from 50+ runnable notebooks than from written chapters and diagrams.”
AI 应用开发、AI 编程实战与面试指南，涵盖 LLM、Agent、RAG、MCP、Claude Code、Codex 等核心技术与工程实践。
calls GenAI_Agents “When you need a focused tutorial set on AI agents rather than a broad prompt engineering guide.”
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.