Demonstration course · v1
AI in projects: supervised workflows
The project worked once. What happens when something changes? Design a supervised workflow, try different scenarios, and explore ways to review, recover, and improve each stage.
What you’ll learn
- Design workflows with defined inputs, outputs, and human approval.
- Create test cases and compare results before expanding a workflow.
- Plan for failures and track changes while preserving earlier results for comparison.
Who this course is for
If you want to organize an AI-assisted project and stay involved in decisions at every stage, this course is for you.
Before you begin
Build on your practice with references, quality criteria, and review. The steps you need before starting are listed below.
How to complete this course
To finish this course, complete its 8 required activities. If an activity depends on an earlier step, you’ll find guidance there.
After reading, listening, or watching, mark it as finished. If you’ve already completed a resource used here, we’ll recognize it from your history when the edition and scope match.
Choose your review checkpoints: answer the question correctly. You can revisit the material and try again.
Decide whether you’re ready to expand: answer the question correctly. You can revisit the material and try again.
Identify a safe way to resume: answer the question correctly. You can revisit the material and try again.
Decide when to keep a change or roll it back: answer the question correctly. You can revisit the material and try again.
Optional practice gives you room to experiment and doesn’t hold up completion. A later attempt never erases a passing result. Marking a reading as finished records what you’ve read; the checks help assess what you’ve understood.
Before you begin
- Applied AI: context and review — pass 100% of the understanding checks
Once you’re signed in and enrollment is available, we’ll check what you’ve already completed so you don’t have to repeat it.