Courses & guides
Practical, self-paced guides — from how large language models actually work (tokens, attention, RAG, agents) to AI security, evaluation, and getting the most out of the tools you already use.
88 lessons live
Courses
A practical guide on how large language models actually work — starting from plain-language basics, then tokens and attention, RAG, agents, AI security, evaluation, and serving.
11 modules · 80 lessons
What’s inside
- M0Start Here — LLMs in Plain Language5 lessons
- M1Foundational Mechanics8 lessons
- M2Model Families & Architectures7 lessons
- M3Data, Pre-Training & Post-Training8 lessons
- M4RAG & Knowledge Systems8 lessons
- M5Agents & Tool Integration7 lessons
- M6AI Cybersecurity8 lessons
- M7Defense & Governance8 lessons
- M8Evaluation, Benchmarking & Observability8 lessons
- M9Infrastructure, Hardware & Production Deployment7 lessons
- M10Emerging Frontiers6 lessons
A no-jargon beginner series that actually explains what is happening — RAG, MCP, agents, tokens and the rest — so you understand the ideas instead of memorizing definitions. Each piece assumes only what the ones before it taught.
1 module · 8 lessons
What’s inside
- M1The beginner series8 lessons