Build AI capability from foundation to strategic leadership
The AI pathway takes you from understanding AI fundamentals to leading AI strategy across your organization. Choose your starting point and progress at your own pace.
Start here if you're new to AI. Understand how AI works, explore practical applications, and learn responsible AI principles.
Your role: Learn core concepts, explore tools, apply AI to simple tasks
Build on foundation concepts. Learn to design AI workflows, manage data responsibly, and measure AI impact in your work.
Your role: Design workflows, test solutions, optimize AI integration
Design and oversee AI adoption in your team or function. Address change management, risk governance, and capability building at scale.
Your role: Plan transformation, manage risk, build team capability
Set organizational direction on AI governance, investment prioritization, and risk management. Make board-level decisions on AI strategy and culture.
Your role: Set strategy, govern risk, allocate capital, shape culture
| Topic | Foundation | Practitioner | Manager | Leader |
|---|---|---|---|---|
| AI Concepts | How AI works, use cases, bias | Prompt engineering, data quality, cost estimation | Scalability, technical debt, adoption patterns | Competitive positioning, board governance |
| Responsible AI | Ethics, data privacy, safe use | Risk assessment, explainability, testing | Compliance, audit, incident response | Policy, enterprise risk, regulatory strategy |
| Practical Skills | ChatGPT, Claude, basic prompt design | NotebookLM, custom workflows, measure ROI | Portfolio prioritization, team upskilling | Capital allocation, strategic partnerships |
| Assessment | Practical AI task with outcomes | Working AI workflow with risk log | Transformation roadmap with business case | 3-year strategy with board presentation |
No. This pathway is designed for professionals from any background. Foundation covers the basics; you'll build confidence with hands-on practice.
Most learners progress Foundation → Practitioner → Manager → Leader. If you have prior AI experience, we can discuss starting at Practitioner.
30–45 hours (Foundation), 45–70 hours (Practitioner), 50–85 hours (Manager), 40–55 hours (Leader). These are guided instruction hours.
You earn a KCPEE Completion Certificate naming your pathway and level. You can then enroll in the next level or certify your proficiency through applied work in your organization.
Yes, with your organization's approval. We can also provide realistic case data if preferred. The goal is genuine learning, so we prefer real or realistic scenarios.
Live instructor guidance, peer discussion, real-time feedback on your applied work, and KCPEE certification based on evidence review. You're not learning alone.