The official learning portal for building with Claude. A curated collection of guides ranging from introductory concepts to advanced prompt engineering and API integration patterns. Perfect for developers looking to master the Model Context Protocol (MCP) and responsible AI implementation.

Comprehensive resources combining insights from Google DeepMind and Google Cloud. Offers learning paths for every role—from business leaders seeking strategic understanding to ML engineers deploying models on Vertex AI.

A vast library of role-based training modules focused on Azure AI services and Copilot. Features hands-on labs and sandbox environments to practice building AI agents, RAG workflows, and intelligent applications in the Microsoft ecosystem.

The technical bible for ChatGPT and the OpenAI API. While technically documentation, it serves as a primary learning hub with an extensive cookbook of code examples, prompt guides, and deep dives into finetuning and assistants.

The gold standard for AI education, led by Andrew Ng. Offers world-class courses that bridge the gap between theoretical understanding and practical application. Highly recommended for mastering the fundamentals of neural networks and LLMs.

The home of open-source AI education. A hands-on hub for learning Natural Language Processing (NLP), reinforcement learning, and audio/vision tasks using the open-source ecosystem. Essentials for anyone wanting to build without reliance on closed APIs.

Research-driven resources focused on the Llama open model family and PyTorch. Geared towards researchers and advanced developers interested in the bleeding edge of open-source LLMs and computer vision research.