Tutorials

A bilingual, engineering-first online textbook covering LLM agent fundamentals, tool use, memory, planning, retrieval-augmented generation, multi-agent systems, agentic reinforcement learning, evaluation, security and deployment.

• Tutorials
• Books

A Chinese-language interview-preparation guide for AI Agent engineering roles at large Chinese technology companies, with hundreds of questions and answers, company-specific material and a study roadmap.

• Tutorials

A study guide compiled from scenario-based questions and answers for the Claude Certified Architect - Foundations certification, covering agentic architecture, context management, tool and schema design, and batch processing for production AI systems.

• Tutorials

A 22-chapter open course teaching how to design, build and operate production AI agents, meant to be studied alongside your own AI assistant rather than as a stand-alone tutorial, with a companion skill that reviews agent designs against the course.

• Tutorials

How LLMs Work is an interactive local app that walks through the whole LLM pipeline hands-on, from a rule-based chatbot to training a small transformer from scratch, with runnable code for every stage.

• Tutorials

A skill for AI coding tools that takes a complete beginner from a vague app idea through problem validation to a buildable plan, before any code is written, aimed at people without a technical or product background.

• Agent skills
• Tutorials

AIGuide is a Chinese-language guide to building AI applications and preparing for AI engineering interviews, covering LLM basics, RAG, agents, MCP, and using tools such as Claude Code and Codex, organized as a learning path with companion agent skills.

• Tutorials

A set of runnable Colab notebooks that teach the applied AI Engineer / Forward Deployed Engineer skill set, including model APIs, RAG, evals, agents and fine-tuning, built from raw API calls instead of a framework, and run on the free Groq API.

• Tutorials

AI Agent Frameworks is a hands-on playground and comparison of modern open-source AI agent and multi-agent frameworks, with practical examples for each one ranging from basic tasks to production-ready setups.

• Tutorials

Copilot Developer Camp is a virtual workshop of hands-on labs for developers who want to build agents and connectors for Microsoft 365 Copilot, from no-code declarative agents to custom engine agents with full control of the model and orchestrator.

• Tutorials

A course that teaches software engineering practices for machine learning projects in Python, covering environment setup, prototyping, and deployment with tools such as uv, Ruff, MLflow, and Docker.

• Tutorials

A self-paced, under-one-hour GitHub Skills exercise that walks a developer through using GitHub Copilot to explain, plan, write and review code on a sample extracurricular-activities website.

• Tutorials

A collection of Jupyter notebook demos for Microsoft Foundry, Azure's platform for building with models such as GPT, DALL-E, Sora, Phi, and Mistral, covering agents, image generation, embeddings, and pricing lookups.

• Tutorials

A public interview-preparation repository for backend developers moving into AI agent and large-language-model application engineering, covering agents, backend systems, system design and algorithms.

• Tutorials

A community-maintained collection of more than three hundred goal-oriented code patterns for the Effect-TS library, spanning error handling, concurrency, streams, schema, and testing, with a searchable command-line tool.

• Tutorials

A collection of sample projects and code artifacts for building with Microsoft Copilot Studio and the M365 Agents SDK, covering authoring, contact-center integration, single sign-on, testing, and custom chat UIs.

• Agent frameworks
• Tutorials

A free, offline coding environment for local LLM agents, pairing Ollama-served open models with an OpenCode-based terminal interface for classrooms and workshops without a network connection or subscription.

• Coding agents
• Tutorials

A Chinese-language tutorial site that breaks down the Pi coding agent's source code into core concepts, then walks through building a teaching version of an agent in TypeScript, React and Node.js.

• Tutorials

A Chinese-language course repository implementing a complete DeepSeek-based retrieval-augmented generation system, with modules for chunking, embedding, vector storage, retrieval and evaluation.

• RAG
• Tutorials

A collection of data science and statistics projects and tutorials in R and Python, covering Bayesian methods, probability theory, and applications such as football analytics and betting models, each paired with a written explanation.

• Tutorials

A Chinese-language study roadmap for LLM application development, covering RAG and agent projects with runnable code, interview preparation notes and a paper-reading skill.

• Tutorials

A collection of Jupyter notebooks demonstrating how to apply generative AI agent frameworks such as AutoGen, LlamaIndex and CrewAI to financial analysis, trading strategy and RAG on earnings reports.

• Tutorials

A Chinese-language tutorial series covering environment setup on macOS and Windows, coding-agent CLIs, MCP, Skills and multi-agent workflow governance for AI-assisted coding.

• Tutorials

The source and build pipeline behind the online book Coding for Economists, which teaches programming and data-science techniques to an economics audience.

• Tutorials
• Books