Made by AI AcademyOpen learning studio

Four destinations

Learning paths

Start with the capability you need. Move at your own pace. Finish with evidence you can reuse in a real project.

01

PATH 01 · Start here

Practical AI foundations

Learn what current AI systems can help with, where they fail, and how to turn a broad idea into a small learning exercise.

  • A plain-language capability map
  • One bounded job brief
  • A review and stop rule
3 lessons · 2 hoursOpen path
02

PATH 02 · Builder

Build a reliable AI assistant

Design an assistant around approved knowledge, a visible instruction set, representative tests, and a clear escalation path.

  • An instruction contract
  • A five-case evaluation set
  • A sourced response and escalation pattern
3 lessons · 3 hoursOpen path
03

PATH 03 · Operator

Automate a repeated workflow

Map a repeated job, choose the right boundary between deterministic automation and AI judgment, then rehearse exceptions.

  • A current-state workflow map
  • A trigger, action, and review design
  • A failed-run recovery rehearsal
3 lessons · 3.5 hoursOpen path
04

PATH 04 · Advanced

Ship and operate an AI tool

Move beyond the demo by assigning ownership, protecting data, measuring failures, and planning rollback and exit.

  • An environment and access map
  • A production launch gate
  • An operating and change record
3 lessons · 4 hoursOpen path