AI Academy — one curriculum, three lines
Understand how language models work, build AI agents on top of them, and govern the systems you ship: 185 hand-built modules, 44 interactive tools, and a 834-term glossary across three connected academies. Free, static, no account needed.
LLM Academy
Transformers from the inside, training, inference and serving, RAG and fine-tuning, evaluation, security — and what each concept means on AWS, Azure, and Google Cloud.
- Foundations — What a language model is, what next-token prediction really means, and what LLMs can honestly do
- Inside the Transformer — Tokens, embeddings, attention, and the block — the machine, opened up
- Pre-training — Data pipelines, objectives, scaling laws, and the engineering of a training run
- Post-training & Alignment — SFT, RLHF, DPO, and reasoning training — how a base model becomes an assistant
- Inference & Serving — Sampling, the KV cache, quantization, batching — where latency and cost are made
- Adapting LLMs — Prompting, RAG, fine-tuning, distillation — and how to choose between them
- Evaluation — Benchmarks, contamination, judges, and eval harnesses you can defend
- Security & Risk — Hallucination, injection, leakage, red teaming — the model-level risk map
- LLMs on the Cloud — Bedrock, Azure AI Foundry, Vertex AI, GPUs, cost models, reference architectures
- Model Landscape — Model families, open vs closed weights, multimodal and small models, model cards
70 modules · 10 tools · 202 glossary terms
AI Agents Academy
Interactive beginner-to-expert AI agents curriculum: architectures and orchestration, MCP and agent protocols, AWS AgentCore, Microsoft Foundry, Vertex AI, security and guardrails, evals, and AgentOps.
- Agent Foundations — What an agent actually is, how the loop works, and when not to build one
- Architectures & Orchestration — Single agents, multi-agent systems, planning patterns, and the human in the loop
- Protocols & Interoperability — Tool calling, structured outputs, MCP, and how agents talk to each other
- Building on the Clouds — AWS AgentCore, Microsoft Foundry, and Vertex AI — deploy, secure, and pay for agents
- Security & Guardrails — Prompt injection, least privilege, sandboxing, and the guardrail catalog
- Evaluation & Observability — Traces, evals, LLM judges, and knowing whether your agent actually works
- AgentOps & Production — Versioning, rollout, incidents, isolation — running agents for real
55 modules · 13 tools · 2 exam simulators · 267 glossary terms
AI Governance Academy
Interactive beginner-to-expert AI governance curriculum: the EU AI Act article by article, ISO/IEC 42001, NIST AI RMF, global law, AIGP exam prep, simulators, and downloadable control mappings.
- Foundations — What AI is, why it needs governing, and the language of the field
- The EU AI Act — The world’s first comprehensive AI law, article by article
- ISO Standards — ISO/IEC 42001 and the standards stack, from terminology to certification
- NIST & US Law — The AI Risk Management Framework and America’s patchwork of AI rules
- Global Landscape — How China, the UN, the OECD, and the rest of the world govern AI
- Governance in Practice — Building and running a real AI governance program
- Special Topics — Privacy, IP, biometrics, compute, sectors — the frontier and the edges
- AIGP Certification — Exam-weighted prep for the IAPP AI Governance Professional credential
60 modules · 17 tools · 2 exam simulators · 365 glossary terms