AJ Learning Hub

Learn in order

Learning Paths

3 paths, 18 short lessons. Each one links the dictionary terms it uses, ends with a hands-on exercise, and can quiz you on what you just read. Start at the beginning, or jump to your level.

Beginner

AI foundations for builders

What AI models are, how they produce answers, how to prompt them, how to check their work, and how to put one into a small automated workflow with a person still in control.

0 of 6 lessons0%
  1. ✓1.What AI actually is10m
  2. ✓2.How LLMs work: tokens, context and variation12m
  3. ✓3.Prompting basics14m
  4. ✓4.Hallucinations and how to verify output12m
  5. ✓5.Choosing AI tools12m
  6. ✓6.Your first AI workflow18m

Intermediate

Building reliable AI automations

Connect AI to real systems: call APIs safely, receive webhooks, choose an automation platform, get structured output a workflow can trust, ground answers in your own documents and design workflows that survive failures.

0 of 6 lessons0%
  1. ✓1.APIs and API keys16m
  2. ✓2.Webhooks and triggers15m
  3. ✓3.Automation platforms compared14m
  4. ✓4.Structured output and tool calling18m
  5. ✓5.RAG fundamentals18m
  6. ✓6.Reliable workflow architecture18m

Advanced

Advanced: Agents in Production

Build agents that hold up after launch: the agent loop and its harness, multi-agent orchestration, MCP and A2A, context and memory, evals and tracing, and the security and cost controls that keep a fooled or runaway agent from doing damage.

0 of 6 lessons0%
  1. ✓1.AI agents and harnesses20m
  2. ✓2.Multi-agent orchestration22m
  3. ✓3.MCP and A2A24m
  4. ✓4.Context engineering and memory22m
  5. ✓5.Evals and observability22m
  6. ✓6.Security and production24m