GenAI agent tutorials / production readiness
A code-first tutorial collection for building production-grade GenAI agents, covering stateful workflows, RAG, deployment, observability, and multi-agent systems.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
When you want a concise practical course from a well-known frontend engineer, focused on shipping agent apps with less enterprise breadth.
Agent Engineer - a practical course for software engineers
When you want the official Hugging Face curriculum with hub integration and a more structured learning path.
This repository contains the Hugging Face Agents Course.
When you want the same author's broader set of agent techniques, including more basic examples and a wider range of patterns.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
When you prefer a Chinese-language, LangGraph-centric guide to production agent engineering.
📚 《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
When you want an actively maintained, MIT-licensed tutorial hub covering LLMs, RAG, and agent applications.
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.
When you specifically want LangChain v1+ and LangGraph tutorials for search agents, RAG, 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.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
When you need a beginner-level introduction to AI agents before tackling production concerns.
An introduction to the world of AI Agents
When you need an in-depth reference on prompt/context engineering that underpins agents, not a full production walkthrough.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
When you want a focused, minimal Agentic RAG tutorial with LangGraph, much narrower than full production coverage.
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
These projects were analysed and named agents-towards-production among their alternatives. The relationship is not symmetric — how agents-towards-production rates them is a separate judgement, made when agents-towards-production is analysed in its own right.
calls agents-towards-production “code-first tutorials for production-grade AI agents, current and comprehensive”
18 Lessons to Get Started Building AI Agents
calls agents-towards-production “Choose if your focus is production deployment and enterprise agent patterns rather than broad fundamentals.”
This repository contains the Hugging Face Agents Course.
calls agents-towards-production “Choose this for a more production/deployment-focused tutorial series from the same author.”
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
calls agents-towards-production “Choose it when you need deployment, ops and production hardening walkthroughs; the seed is stronger on foundational LangChain/LangGraph basics.”
🚀 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 agents-towards-production “Choose it if you want code-first production deployment tutorials rather than a from-scratch 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 agents-towards-production “Choose if you want production-grade GenAI agent engineering tutorials rather than a beginner vibe-coding course.”
💻 vibe coding 101｜The first course for AI-native product builders.
calls agents-towards-production “choose when you want code-first end-to-end production agent tutorials rather than a skeleton course”
Use agent to learn agent - A skeleton course on how to design, build, and operate production AI agents
calls agents-towards-production “Choose it when you need deployment, serving and ops code for agents rather than conceptual explanations.”
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 agents-towards-production “When you need code-first examples specifically for production-grade agents.”
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.