shareAI-lab/learn-claude-code
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.
Awesome AI Agents › Courses and Tutorials
Courses and Tutorials
dair-ai/Prompt-Engineering-Guide
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.
patchy631/ai-engineering-hub
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.
huggingface/agents-course
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.
NirDiamant/GenAI_Agents
GenAI_Agents is a comprehensive repository offering tutorials, implementations, and community resources for building and advancing generative AI agents from basic to advanced levels.
walkinglabs/learn-harness-engineering
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.
The-Pocket/PocketFlow-Tutorial-Codebase-Knowledge
An AI-powered tool that analyzes GitHub repositories and generates beginner-friendly tutorials with visualizations to simplify understanding complex codebases.
google/adk-recipes
Google's public collection of small, runnable example agents demonstrating Agent Development Kit (ADK) patterns such as OAuth flows, session memory, guardrails and RAG, in core and community recipes.
alirezadir/Machine-Learning-Interviews
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.
WenyuChiou/awesome-agentic-ai-zh
A trilingual (Traditional Chinese, English, Simplified Chinese) learning roadmap for agentic AI, offering 240+ curated resources and hands-on examples from LLM basics to multi-agent systems.
daveebbelaar/ai-cookbook
The AI Cookbook by Dave Ebbelaar offers practical examples and tutorials with copy/paste code snippets to help developers build real-world AI systems efficiently.
GiovanniPasq/agentic-rag-for-dummies
Tutorial and modular reference implementation of an agentic RAG system on LangGraph, covering hierarchical indexing, conversation memory, query clarification and multi-agent map-reduce retrieval.
killop/anything_about_game
A comprehensive curated list of resources for game development, covering topics from game engines and assets to graphics, physics, and AI.
Windy3f3f3f3f/how-claude-code-works
Educational reverse-engineering notes on the architecture of Claude Code, covering the agent loop, context engineering, tool system, skills, memory and the layered permission model across 16+ documents.
microsoft/agent-academy
Microsoft repository hosting the Copilot Studio Agent Academy, a three-part course with mission-based lessons for people who want to build agents with Microsoft Copilot Studio.
decodingai-magazine/second-brain-ai-assistant-course
An open-source course teaching how to build a production-ready Second Brain AI assistant using LLMs, RAG, agents, fine-tuning, and LLMOps with practical system design and deployment techniques.
genieincodebottle/generative-ai
A comprehensive resource hub for learning Generative AI, including roadmaps, projects, use cases, interview and coding preparation, and cloud deployment guides.
emarco177/langchain-course
Companion repository for a LangChain and LangGraph course that teaches AI agent development through seven progressively harder Python projects spread across git branches and linked repositories.
DataTalksClub/ai-dev-tools-zoomcamp
A free cohort-based course on AI-native software engineering, teaching disciplined use of AI coding tools and agents for building, testing, deploying and auditing real applications.
neural-maze/ava-whatsapp-agent-course
Ava is a comprehensive course and project for building a production-ready AI WhatsApp agent capable of realistic conversations, voice and image recognition, and deployment using advanced AI technologies and cloud services.
pguso/rag-from-scratch
Educational JavaScript repository that builds retrieval-augmented generation from first principles in ordered, self-contained examples running locally with no cloud APIs or framework abstractions.
neural-maze/philoagents-course
PhiloAgents Course is an open-source educational project that teaches how to build an AI-powered game simulation engine impersonating historical philosophers, combining philosophy with modern AI technology through hands-on modules covering agent development, RAG systems, system architecture, and LLMOps best practices.
benman1/generative_ai_with_langchain
Companion code repository for the book "Generative AI with LangChain, 2024 Edition," providing practical examples and resources to build large language model applications using LangChain and Python.
victordibia/designing-multiagent-systems
Code repository for the book Designing Multi-Agent Systems, containing PicoAgents, a complete multi-agent framework written from scratch to teach agent reasoning loops, orchestration patterns and evaluation.
fetchai/innovation-lab-examples
Collection of 80+ self-contained, runnable Python examples for building autonomous and multi-agent systems with Fetch.ai uAgents, ASI:One, Agentverse, MCP, A2A and mainstream LLM SDKs.
NirDiamant/Agent_Memory_Techniques
Agent Memory Techniques is a tutorial repository of 30 runnable Jupyter notebooks covering memory patterns for LLM agents, from conversation buffers to knowledge graphs, MemGPT, Mem0, Letta, Zep and Graphiti.
pguso/agents-from-scratch
Educational repository that builds a single AI agent step by step across twelve lessons using a local GGUF model, with no frameworks, no cloud APIs and no hidden reasoning.
curiousily/AI-Bootcamp
Self-paced bootcamp of Jupyter notebooks and tutorials covering machine learning foundations, MLOps, local LLMs with Ollama, RAG, LangChain, LangGraph, DSPy, fine-tuning and CrewAI agents.
strands-agents/samples
Official example repository for the Strands Agents SDK, with Python and TypeScript tutorials covering agent fundamentals, multi-agent systems, deployment, integrations, evaluation and industry use cases.
rohitg00/awesome-ai-apps
Curated repository of complete, runnable AI agent and LLM application examples grouped into starter agents, advanced agents, multi-agent teams, RAG applications and multimodal apps across many frameworks and model providers.
ClavixDev/Awesome-Vibecoding-Guide
A documentation-only English playbook on earning money with AI-assisted "vibecoding", covering coding agents, MCP servers, prompting workflow, delivery process and a Cloudflare-based stack.
the-ai-merge/multimodal-agents-course
Open course that walks through building Kubrick, a multimodal video-processing agent, covering a FastMCP server over Pixeltable, a custom MCP client, a Groq-hosted Llama 4 agent and Opik tracing.
towardsai/ragbook-notebooks
A comprehensive collection of Jupyter notebooks supporting the "Building LLMs for Production" book, covering foundational concepts, advanced techniques, and practical applications of large language models in production environments.
oxbshw/LLM-Agents-Ecosystem-Handbook
Practical handbook for building, evaluating, securing and shipping LLM agent systems, covering the whole agent stack with adapters for 24 or more providers, blueprints, templates and checklists.
TheDecipherist/claude-code-mastery
Guide and companion configuration kit for Claude Code, shipping a global CLAUDE.md template, hook scripts, skills and a settings template; the authors mark this version obsolete in favour of a newer starter kit.
alirezadir/Agentic-AI-Systems
Agentic-AI-Systems is a structured learning repository on building production agentic systems, combining notes on foundations, framework tutorials, design patterns, use cases and interview preparation material.
Varietyz/Disciplined-AI-Software-Development
A documented methodology with reusable prompt and persona files for working with AI models on software projects, using file size limits, phased planning and validation gates to curb code bloat and context drift.
Bklieger/Claude-React-Jumpstart
Claude-React-Jumpstart is a beginner-friendly step-by-step tutorial for setting up and running Claude-generated React code locally using Vite, Tailwind CSS, and Shadcn UI components.