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Executive & Sponsor
A concise path for senior managers and industry sponsors: build AI literacy, understand how use cases are evaluated, and learn how to sponsor a real industry co-creation project through to enterprise transformation and value realization. No coding background required, and it does not force the full AD 101-103 use-case-discovery sequence on an executive.
4 courses · Estimated effort: 27 hours
Who this is for
- Senior managers who need to sponsor or approve a department AI project
- Industry sponsors, CIO/CDO offices, and business-unit leaders
Outcomes
- Understand AI’s capability limits, risks, and human-review methods
- Understand use-case prioritization well enough to approve or send back a proposal
- Know a sponsor’s responsibilities in the project charter and at each decision gate
- Understand the required fields of an Enterprise AI Transformation Roadmap and lead its review
Competencies developed
- AI Literacy
- Prompt & Context Design
- Verification & Evidence
- Responsible AI & Data Safety
- AI Application & Use-Case Design
- AI Task Judgment
- Instruction Design
- Context & Source Awareness
- Output Verification
- Human-AI-Human Workflow
- Responsible Use
- Pilot Design
- Value as Measurable Outcome
- Technical Feasibility Assessment
- Organizational Readiness Assessment
- Risk Visibility & Governance Escalation
- Evidence Confidence Assessment
- Portfolio Thinking
- Actionable Next Step, Owner & Review Date
- Industry AI Project Charter Design
- Enterprise AI Transformation Roadmap Design
Required before starting
None
Recommended before starting
- AD 101 · AI Use Case Discovery
- AD 102 · Process & Pain Point Discovery
- IL 301 · IL 301 | Enterprise AI Pilot & Adoption Lab
Course sequence
- 1.AI 101 Claude AI Workforce Fundamentals
- 2.AD 103 AI Use Case Prioritization
- 3.IL 101 IL 101 | Industry AI Project & Value Design
- 4.IL 302 IL 302 | Enterprise AI Transformation, Scale & Value Realization
Next step
AI 101 · Claude AI Workforce Fundamentals