AI Strategy & GenAI Implementation for Business Leaders
A non-code executive track for leaders who must decide where GenAI creates value — and where it burns budget. Build an AI strategy, evaluate build-vs-buy, quantify ROI, run a use-case portfolio, and stand up responsible-AI governance. Framed around board-level decisions, vendor evaluation, and change management, not model internals.
What You'll Learn
What's Included
Interactive learning path with AI-generated lessons read aloud by your personal tutor
Step-by-step lab instructions with AI guidance — run in your own IDE or sandbox.
AI interviewer asks tailored questions, gives real-time feedback and a score report
MCQ questions (theory, practical, code) to test your knowledge and earn a badge
Compete head-to-head against AI on real production problems — judged on correctness, performance, scalability, code quality, and edge cases
Course Syllabus
Module 1: The GenAI Landscape for Leaders
- •What LLMs actually do — capabilities without the math
- •Where GenAI creates value vs where it destroys it
- •Foundation models, fine-tuning, and RAG in plain terms
- •The competitive landscape and vendor ecosystem
- •Separating durable advantage from hype cycles
Module 2: From Opportunity to Use-Case Portfolio
- •Mapping AI opportunities across the value chain
- •Scoring use cases on value, feasibility, and risk
- •Quick wins vs strategic bets vs moonshots
- •Building a prioritised use-case portfolio
- •Defining success metrics before you start
Module 3: Build, Buy, or Partner
- •Build vs buy vs fine-tune vs API — the decision framework
- •Total cost of ownership: tokens, infra, talent, maintenance
- •Evaluating vendors and avoiding lock-in
- •Data readiness and the 'garbage in' problem
- •Estimating ROI and constructing the business case
Module 4: Responsible AI & Governance
- •Key risks: hallucination, bias, IP, privacy, security
- •An AI governance operating model and review gates
- •Regulation landscape (EU AI Act and beyond) at a leader's level
- •Human-in-the-loop and accountability structures
- •Measuring and communicating trust and safety
Module 5: Execution & Change Management
- •Operating model: centre of excellence vs federated teams
- •Workforce enablement and reskilling
- •Piloting, scaling, and killing projects on evidence
- •Communicating AI change to the board and the org
- •Capstone: a board-ready AI strategy and roadmap
You're all set
Everything in this course is unlocked.
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