Less watching.
More building.
Six foundations plus thirty original project paths. Work through a real example, change the inputs, test your result, and keep evidence. Start with prompting, then choose the build path that matches your work.
Read → inspect the worked example → complete the guided activity → test against expected evidence → write what failed → review your capstone. Fictional fixtures let you practise without private data. Cloud-AI activities use a legitimate service available to you; eligibility varies across regions. Manual alternatives are described, but simulation is not a live integration.
Completion and rubric scores are learner self-reports, not credentials, independent verification or professional accreditation. The capstone threshold is at least 8/10 with 2/2 on the critical safety criterion.
Loading editorial status…
50 more things to try.
Ten visual practice collections, each with five standalone activities. Work in any order or choose one to extend a foundation project.
Open the activity library →Where the curriculum grows next.
This release adds original project courses to the foundations. It is not a complete preparation for professional AI-engineering roles. These further paths are planned, not downloadable promises: