Tutorials

A set of Chinese-language notes that rebuild the internal mechanisms of coding agents such as Claude Code, Codex and OpenCode as small, dependency-free, runnable Node.js programs, one mechanism per chapter.

• Tutorials

A growing series of written tutorials that build up LLM inference optimization step by step, from autoregressive generation and the KV cache through prefill-decode disaggregation to production engines such as vLLM and SGLang.

• Tutorials

A collection of runnable notebooks implementing a domain-agnostic Context Engine, a transparent architecture for orchestrating multi-agent systems through semantic context and reasoning rather than hard-coded workflow logic.

• Agent frameworks
• Tutorials

A reference implementation and bilingual documentation of 27 core agent-architecture patterns, each placed on a two-axis map of cognitive function against execution topology, as a companion to the book Designing AI Agents.

• Tutorials
• Books

A collection of practical guides for fixing specific problems encountered while running AI coding agents and customizing terminals, each with the problem, the fix, and copy-paste configuration.

• Tutorials

A reference collection of runnable, checked Python implementations of agent design patterns such as prompt chaining, routing, parallelization and multi-window autonomous agents.

• Tutorials

A solution accelerator, no longer maintained, that shows how to build a custom copilot for customer-facing teams using Azure OpenAI and Azure AI Search over an organization's own conversation data.

• RAG
• Tutorials

A free, self-paced 24-week AI engineering course that takes a beginner from Python through machine learning, LLM internals, RAG, fine-tuning, agents and MCP, and cloud AI platforms, using one continuous case study.

• Tutorials

Course code for an O'Reilly live training and video series on building and operating AI agents, covering agent frameworks such as CrewAI, LangChain and AutoGen from prototype through production.

• Tutorials

A collection of Python and Node.js example code from the "Code AI with Rok" YouTube tutorial series, covering LLM providers, agent frameworks, cloud AI services and vector databases.

• Tutorials

A curated collection of code samples and tutorials for building AI agents on Google's Gemini Enterprise Agent Platform, formerly Vertex AI, covering its models, frameworks, protocols and hosting tools.

• Tutorials

A TypeScript sample application demonstrating the Retrieval Augmented Generation pattern on Azure, using Azure AI Search for retrieval and Azure OpenAI to power a ChatGPT-style Q&A experience over a company's own documents.

• RAG
• Tutorials

A repository of runnable examples across many popular Python AI agent frameworks, configurable against GitHub Models, Azure OpenAI, OpenAI.com or local Ollama models.

• Tutorials

A set of hands-on Microsoft Learn exercises for building AI agents on Azure, covering common developer tasks and requiring an Azure subscription with quota for the necessary resources and models.

• Tutorials

A from-scratch machine learning framework built in NumPy, paired with hundreds of browser-graded coding questions, for learning how ML and inference internals actually work instead of only calling an existing library.

• Tutorials

A full training presentation and hands-on lab set for using Claude Code in professional software development, covering project creation, the branch-first workflow, subagents, hooks, skills and plugins.

• Tutorials

A customer-service demo built on LangChain and LangGraph that combines a ReAct reasoning loop, retrieval-augmented generation over a Chroma vector store, and multiple callable tools, shown through a Streamlit interface.

• RAG
• Tutorials

A demonstration-only, Google-published reference implementation of a customer-service agent for a fictional airline, using LangGraph, tools and retrieval-augmented generation to query Google Cloud databases through MCP Toolbox.

• Tutorials

A free, no-signup beginner's tutorial that builds a working AI agent — one that reasons, calls tools and loops until a task is done — using only free-tier APIs and local Python.

• Tutorials

The code repository for a paid Udemy course on large language model internals, covering transformer architecture, tokenization, training, fine-tuning, inference and PyTorch implementations from scratch.

• Tutorials

A hands-on repository of runnable tutorials that build an AI agent from first principles — the agent loop, tool executor, memory layer and evaluation harness — before introducing any framework.

• Tutorials

A free, ongoing AI engineering curriculum covering machine learning foundations through LLMs, fine-tuning, RAG, AI agents, inference, evaluation and safety, with a written blog and video for most lessons.

• Tutorials

A hands-on set of tutorials and code samples, in Python and .NET, for building agents with the Microsoft Agent Framework, covering tools, providers, RAG and multi-agent workflows.

• Tutorials

An early-stage, in-development open-source repository of AI agent code and templates for n8n and other automation workflows, published alongside the author's YouTube tutorials.

• Workflow automation
• Tutorials