AD 101CoreL1 + L2 Certificates
AI Use Case Discovery
Learn to separate problem from solution, spot work friction, pin down the user/owner/outcome, and match a work problem to a reasonable AI assistance pattern, producing a structured AI Use Case Discovery Canvas as the starting point for department AI-adoption discussions.
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AD 101 · Module 1: Discover the Problem
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Curriculum
- Module 1Discover the ProblemStart by separating problem from solution, learn to spot work friction, and pin down the user, owner, and a measurable outcome.
- Module 2Shape the Use CaseMatch the problem to a reasonable AI assistance pattern, review value, data, and risk separately, and finish the formal Use Case Canvas.
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Practice and assessment
- P1: Problem or Solution?Judge whether a sentence is a problem or a solution, and rewrite the solutions.Not done yet
- P2: Good Use Case / Bad Use CaseJudge whether a Use Case description keeps human responsibility.Not done yet
- P3: AI Pattern MatchChoose the closest AI assistance pattern for a work problem, and name the user and owner.Not done yet
- P4: Quick Readiness CheckRun the Value/Data/Risk quick check on candidate problems, never merged into a total score.Not done yet
- AD 101 Pre-test and Post-testPre/post checks on problem-framing, Use Case pattern, owner/user, value, data, and risk.Not done yet
- AI Use Case Discovery CanvasTurn what you learned into your own AI Use Case Discovery Canvas.Not done yet
About this course
Outcomes
- Recognize solution bias and choose an observable, tool-free problem statement
- Identify opportunity through seven friction signals, while knowing high friction does not automatically mean AI is needed
- Distinguish the user, process owner, decision owner, and a measurable outcome
- Match a work problem to a reasonable AI assistance pattern while keeping human responsibility
- Review value, data, and risk separately, never as an opaque total score
- Complete a structurally complete AI Use Case Discovery Canvas
Prerequisites
- No programming background required
- AI 101L is recommended but not required
Who it is for
- Managers and coordinators who want to drive AI adoption in their department
- Learners who completed AI 101L and want to systematize their applied case
- Staff who need to identify AI Use Cases worth exploring
Certificate
Earns a course completion certificate (L1); a capability certificate (L2) is also available through additional artifact review.
Requirements to earn it
- Complete all 2 course modules
- Pass the post-test assessment at 80% or higher
- Submit a project artifact and pass review
Course feedback
It takes 2 to 3 minutes and is used to improve the course.