Resources
Deep-dive guides, tutorials, and practical documentation for the AI tools you use every day.
70 resources across 33 tools
16 results
Hands On Ai Engineering
Hands-On AI Engineering Projects
The repository is a curated collection of practical AI engineering projects covering OCR systems, RAG apps, AI agents, audio applications, multimodal workflows, and production-oriented examples. The GitHub summary reports about 2.1k stars, MIT licensing, and recent activity in June 2026.
Claude Code in Your IDE: VS Code, JetBrains, and Desktop App
Set up Claude Code in VS Code, JetBrains IDEs, the Desktop app, or Web mode. Compare surfaces and find the right one for your workflow.
Claude Cookbooks - Recipes & Guides for Building with Claude
A comprehensive collection of Jupyter notebooks and code recipes showcasing effective ways to use Claude for classification, RAG, summarization, tool use, vision, and more.
Awesome LLM Apps: Runnable Agent and RAG Templates
A practical guide to Awesome LLM Apps, the GitHub repository of runnable AI agent, RAG, MCP, voice agent, and fine-tuning templates.
Awesome Claude Code Resource Guide
A practical guide to Awesome Claude Code, a curated GitHub list of Claude Code skills, hooks, slash commands, agent orchestrators, apps, and plugins.
Dive into LLMs Practical Guide
A Chinese-language open-source tutorial series for hands-on LLM programming and practice.
AI for Beginners
AI-For-Beginners is Microsoft’s twelve-week, twenty-four-lesson curriculum for learning AI fundamentals with structured lessons and hands-on practice.
hello-agents AI Agent Course
A practical guide to using Datawhale China’s hello-agents course as a structured learning path for AI agent principles, examples, and implementation patterns.
Complete Agentic AI Engineering Course Repository
A guide to Ed Donner’s agents repository, which supports a six-week Agentic AI Engineering course using OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and MCP.
Generative AI for Beginners Course Guide
Microsoft’s free Generative AI for Beginners course teaches 21 lessons for building AI apps with Python, TypeScript, Azure OpenAI, GitHub Models, and OpenAI.
fastbook: Practical Deep Learning Notebooks with fastai
fastbook is the public notebook companion for the fastai deep learning book and MOOC, covering practical AI with fastai and PyTorch.
Microsoft ML-For-Beginners Curriculum
A practical guide to Microsoft ML-For-Beginners, a free 12-week curriculum for classic machine learning with Python and scikit-learn.
academic-research-skills: Claude Code Workflows for Research Papers
A builder-focused guide to academic-research-skills, a Claude Code skill suite for literature review, writing, peer review, revision, and finalization.
agent-skills: Production Engineering Workflows for AI Coding Agents
A practical guide to addyosmani/agent-skills, a Markdown skill pack that gives AI coding agents specs, plans, tests, reviews, and release gates.