Executive Free 120 min total Course 11 of 90

AI for
C-Suite Leaders

Your board is asking about AI strategy. Your CFO wants a business case. Your general counsel wants to know about the EU AI Act. Your team is divided on whether to build, buy, or partner. This course gives you the frameworks to lead each of those conversations with precision: what AI actually does, how to govern it, how to fund it, and how to build the organization around it.

Start Module 1 → Talk to Arjun
Is this course for you?
This IS for you if
  • You are a CEO, CFO, COO, CISO, CLO, or board member making AI decisions
  • You have been asked to present an AI strategy to your board or investors
  • You are evaluating whether to hire a Chief AI Officer
  • You have an AI pilot underway and need a governance structure to scale it
  • You want to ask smarter questions in vendor and team AI briefings
This is NOT for you if
  • You want to learn how to build or code AI models (see the RAG or Fine-Tuning courses)
  • You are looking for deep technical architecture guidance
  • You already have a functioning AI governance program, vendor framework, and 18-month roadmap
ⓘ
Prerequisites: None. This course is self-contained for senior leaders. No prior AI or technical knowledge is required. Familiarity with how your organization makes investment and governance decisions will help you apply the frameworks immediately.
What you will be able to do
✓Explain how LLMs work, why they hallucinate, and what fine-tuning and agents actually mean for your organization
✓Structure an AI business case that a CFO will accept, with a risk register, ROI model, and success criteria
✓Design a board-level AI governance framework covering risk taxonomy, accountability, and EU AI Act obligations
✓Evaluate AI vendors using a structured framework and identify lock-in risk, contract traps, and inflated capability claims
✓Decide whether you need a Chief AI Officer, how to structure the AI team, and what to build versus outsource
✓Sequence AI investments across an 18-month roadmap with 90-day wins, 6-month foundation, and board-level reporting

The Six Modules

01
What You Actually Need to Know
How LLMs work at the level a CEO or CFO needs: tokens and context, why models hallucinate, what fine-tuning actually does, what agents actually are. No math. No code.
20 min
→ 02
Building the Business Case
How to structure an AI investment for board approval. ROI models that CFOs will accept, risk registers, the metrics that matter versus the ones vendors sell.
20 min
→ 03
AI Governance for the Board
What boards need to govern AI: risk taxonomy, audit mechanisms, who owns what, EU AI Act obligations, and the NIST AI RMF. How to avoid governance theater.
20 min
→ 04
Buy vs Build vs Partner
The vendor evaluation framework. How to run a real pilot versus a demo. What contract terms matter. What lock-in looks like. How to read capability claims critically.
20 min
→ 05
Talent, Team, and Organization
Whether you need a Chief AI Officer. How to structure the AI team. The skills gap reality. What to build internally versus outsource. How to retain AI talent once you have it.
20 min
→ 06
The 18-Month Roadmap
How to sequence AI investments across the enterprise. 90-day quick wins, 6-month foundation, 18-month scale. How to measure progress. When to kill a program.
20 min
→

Supporting Blog Series

Six articles for senior leaders covering every angle of C-suite AI strategy. Read any one independently or work through them alongside the course.

01 What CEOs need to know about AI 02 Building the AI business case for executives 03 AI governance for the board of directors 04 AI vendor selection framework for executives 05 Do I need a Chief AI Officer? 06 The enterprise AI roadmap: 18 months

Related Courses

Executive
AI for Enterprise Leaders
Intermediate
Evaluating AI Systems
All Courses
AJ University: 90 Free AI Courses

Ready? Start with Module 1.

No account. No paywall. No credit card. Just start learning.

Begin Module 1 →