Open source. Open possibilities.

A curated collection of 90+ hands-on AI engineering tutorials and projects covering LLMs, RAG, agents, MCP, multimodal apps, fine-tuning and evaluation, organized by beginner, intermediate and advanced difficulty.

Open-source collection of 100+ AI agents, agent skills, and RAG apps. Apache-2.0, hand-built and tested end-to-end, works with Claude, GPT, Gemini, DeepSeek, Llama, Qwen.

A free 21-lesson Microsoft course for beginners to build generative AI applications, covering LLMs, prompt engineering, RAG, agents, fine-tuning, and more, with Python/TypeScript examples.

A comprehensive open-source guide covering prompt engineering techniques, RAG, AI agents, and LLM optimization. Includes tutorials, research papers, tools, and notebooks for working effectively with large language models.