Course Content
01Module 1: Translate across business, technology, and people
Build fluency to align stakeholders around a measurable AI opportunity and realistic solution approach.
- Cross-domain translation
- Stakeholder alignment
- AI fluency
- Opportunity framing
02Module 2: Risk, trust, and governance
Identify privacy, security, bias, accuracy, adoption, and accountability risks before scaling an initiative.
- Responsible AI
- Privacy
- Security
- Bias
- Human oversight
- Governance
03Module 3: Guide the AI solution lifecycle
Move an initiative through sensing, discovery, design, iterative delivery, and production readiness.
- Sense
- Discover
- Design
- Deliver
- Quick wins
- Readiness
04Module 4: Realize value and sustain adoption
Measure outcomes, tell the value story, redesign workflows, and support lasting organizational adoption.
- Value measures
- Workflow redesign
- Adoption
- Storytelling
- Organizational change