AD 103CoreL1 + L2 Certificates
AI Use Case Prioritization
Learn to compare multiple Use Cases with portfolio thinking, score Value, Feasibility, Readiness, and Risk separately, keep risk visible rather than hidden in a total score, and decide a next step for each Use Case to complete an AI Use Case Portfolio.
Your next step
AD 103 · Module 1: Evaluate
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Curriculum
- Module 1EvaluateBuild portfolio thinking, and evaluate Value & Outcome, Feasibility & Readiness, and Risk & Governance separately.
- Module 2PrioritizeCompare multiple Use Cases on the same dimensions, discuss portfolio trade-offs, and complete the Prioritization Workshop.
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Practice and assessment
- P1: Value vs. ActivityJudge whether a Value description is an outcome or an activity, and rewrite the activity ones.Not done yet
- P2: Feasibility vs. ReadinessJudge whether a scenario reflects a Feasibility or Readiness issue.Not done yet
- P3: Risk Is Not a Penalty ScoreJudge which risks should escalate to governance review.Not done yet
- P4: Portfolio Trade-offDecide execution order and next steps for multiple Use Cases under limited capacity.Not done yet
- AD 103 Pre-test and Post-testPre/post checks on value, feasibility, readiness, risk, evidence, portfolio, and next-step judgment.Not done yet
- AI Use Case PortfolioTurn what you learned into your own AI Use Case Portfolio.Not done yet
About this course
Outcomes
- Distinguish an activity from an observable outcome/value
- Judge technical and integration complexity (feasibility)
- Judge owner, workflow, capacity, and policy readiness
- Identify the consequence of being wrong and situations needing review (risk)
- Judge whether a claim has a checkable source and confidence (evidence)
- Keep rationale and unknowns visible under limited resources (portfolio)
- Choose a next step for each Use Case: clarify, prototype, pilot-review, governance-review, defer, or stop
Prerequisites
- No programming background required
- AD 101 and AD 102 are recommended but not required
Who it is for
- Managers who need to prioritize AI adoption under limited resources
- Learners who completed AD 101/AD 102 with several candidate Use Cases
- Staff who need to facilitate a portfolio-review discussion
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.