Learn LLMs & Generative AI from first principles
Clear, practical study material on how modern AI actually works — from tokens and transformers to RAG, agents, and safety. Built for curious beginners and engineers alike.
- Topics
- 7
- Glossary terms
- 20+
- Cost
- Free
Foundations
AI, ML, neural nets — explained without jargon.
Architectures
Transformers, attention, embeddings, diffusion.
Applications
Prompting, RAG, agents, multimodal systems.
Production
Evaluation, safety, guardrails, deployment.
Explore the curriculum
Self-paced lessons covering everything from how a transformer works to building production-grade AI agents.
AI & ML Fundamentals
Start with the building blocks: data, models, training, and inference.
Large Language Models
How GPT, Claude, Gemini and Llama actually work under the hood.
Generative AI
Beyond text: images, audio, video, code and multimodal systems.
Prompt Engineering
Practical techniques to get reliable, high-quality outputs from any LLM.
Retrieval-Augmented Generation
Give LLMs access to your private data without retraining.
AI Agents
LLMs that plan, use tools, and take actions on your behalf.
Ready to demystify Generative AI?
Start with the fundamentals and work your way to building real agents. Bookmark the glossary for quick reference.