Learn AI
AI assistants, agents and creative tools from across the collection, in one place.
- 500+ AI Agent Projects & Use Cases, Editor's pickA curated collection of AI-agent project ideas, use cases, tutorials and example implementations, organized by industry and framework.
- AI Agents for BeginnersMicrosoft's beginner course on building AI agents, with written lessons, videos and code examples covering tool use, RAG, planning, multi-agent systems, memory, deployment and security.
- AI Coding Dictionary, Editor's pickMatt Pocock's plain-English glossary of AI coding concepts, including models, context, agents, tools, environments, memory and workflows.
- AI Engineering from ScratchRohit Ghumare's free, open-source course for building AI systems from first principles, implementing math, tokenizers, attention, agents, evaluation and production pieces by hand in Python, TypeScript, Rust and Julia.
- AI Engineering NotesRatish Jain's public learning notes on AI engineering, explaining one topic at a time and linking the papers, videos and posts used to understand it.
- DeepLearning.AICourses and learning resources covering AI, machine learning, generative AI, and deep learning.
- fast.aiPractical deep-learning courses and resources.
- GenAI AgentsLearn agent patterns including tool use, planning, RAG agents, memory, multi-agent systems, and workflows.
- Google AI LearningAI learning resources and courses from Google.
- Hands-On Large Language ModelsLearn LLMs by building: embeddings, transformers, RAG, fine-tuning, semantic search, and LLM applications.
- LLM CourseRoadmap covering LLM architectures, fine-tuning, quantization, RAG, agents, and deployment.
- Meta AI ResourcesAI research, learning, and technical resources from Meta.
- Prompt Engineering GuideResources covering prompting techniques, RAG, agents, LLM research, capabilities, and optimization.