Executive Free 120 min total Course 06 of 90

AI for
Enterprise Leaders

Six months ago, your organization approved an AI pilot. Today, the CFO is asking what it actually delivered. This course gives you the frameworks to answer that question before it is asked: how to build a business case, choose the right vendors, govern AI responsibly, manage real risks, lead your organization through the change, and measure what it costs and what it returns.

Start Module 1 → Talk to Arjun
Is this course for you?
This IS for you if
  • You are a CEO, CFO, CTO, or VP making AI investment decisions
  • You have been asked to build a business case for an AI initiative
  • You are evaluating AI vendors or platforms and want a structured framework
  • You are responsible for AI governance, risk, or compliance at your organization
  • You are leading an AI transformation and feel the organization is not moving as fast as the technology
This is NOT for you if
  • You want to learn how to build or code AI models (try the RAG or Fine-Tuning courses)
  • You are looking for a deep technical treatment of algorithms and architectures
  • You already have mature AI governance, ROI tracking, and vendor management processes in place
ⓘ
Prerequisites: None. This course is self-contained for business leaders. No prior AI knowledge is required. Familiarity with how your organization makes technology investment decisions will help you apply the frameworks immediately.
What you will be able to do
✓Build a credible AI business case with a quantified value hypothesis, cost model, and risk register
✓Score and compare AI vendors across seven dimensions using a structured evaluation framework
✓Design a basic AI governance program with model inventory, impact assessment, and incident response
✓Identify the four categories of AI risk and explain the NIST AI Risk Management Framework
✓Diagnose which of the three AI transformation failure modes your organization is most exposed to
✓Calculate total cost of AI ownership and explain inference optimization strategies to your finance team

The Six Modules

01
Building the AI Business Case
The four business case components. Quantifying productivity uplift, error reduction, and revenue enablement. The 3-horizon framework and ROI breakeven modeling.
20 min
→ 02
Choosing AI Vendors
Build vs buy vs partner. The 7-dimension vendor scorecard. Red flags in demos, contract traps, and vendor lock-in risk. How to evaluate roadmap credibility.
20 min
→ 03
AI Governance
The four governance pillars. Model inventory, impact assessment, monitoring, and incident response. EU AI Act risk tiers and what ISO 42001 certification means for your organization.
20 min
→ 04
AI Risk and Security
The four AI-specific risk categories. Prompt injection, data poisoning, and model drift. The NIST AI RMF four functions: Map, Measure, Manage, Govern.
20 min
→ 05
Leading AI Transformation
Why AI transformation is an organizational change, not a software deployment. The three failure modes: pilot purgatory, tool without process, talent gap. Center of Excellence vs federated teams.
20 min
→ 06
AI Cost and ROI
Total cost of AI ownership. Inference, fine-tuning, embedding, storage, monitoring, talent. The FrugalGPT cascade routing framework. The 5 metrics every finance team needs.
20 min
→

Supporting Blog Series

Six articles for business leaders covering every angle of enterprise AI. Read any one independently or work through them alongside the course.

01 Making the AI business case 02 How to choose AI vendors 03 AI governance for executives 04 AI risk management 05 Leading an AI transformation 06 AI cost and ROI

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