Featured courseFoundation
How LLMs Work
A clear, visual and practical guide to how large language models work, from tokenization to training, inference and real-world applications.
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Academy
Structured learning paths across AI systems, agents, security and architecture.
Practical, experience-driven resources to help you understand, design and build real-world AI systems.
6Learning tracksFrom foundations to advanced topics
40+Hands-on lessonsConcepts, guides and real-world examples
6Role roadmapsTailored learning for different roles
Start here
Three ways in
Follow a path built for your role, go deep on one topic, or see how everything connects.
Learning tracks
Go deep on one area
Each track moves from core concepts to hands-on guides and real-world patterns.
AI Foundations
Core concepts, mental models and building blocks for modern AI.
Context & Retrieval
RAG, search, embeddings and knowledge systems.
Agents & AI Systems
Agents, tools, orchestration and multi-agent patterns.
AI Security & Identity
Auth, identity, governance and securing AI systems.
Systems & Architecture
Distributed systems, scalability and enterprise architectures.
Architecture Practice
Patterns, trade-offs and real-world case studies.
Role roadmaps
All roadmaps Learn for the role you do
Structured paths that combine concepts, practical exercises and real-world guidance for each role.
Reference
Reference library
Quick lookups for when you are designing or reviewing a system.