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AI Strategy Course

AI Strategy for Business Leaders - Complete Course

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Lessons

12 lessons in this course

1

Module 1.1: The AI Landscape in 2026 — What Is Real and What Is Hype

A practical overview of where AI actually stands today — separating the technologies that deliver business value from the ones that are still mostly marketing slides.

2

Module 1.2: Why Business Leaders Need an AI Strategy Now

Without a clear AI strategy, companies either waste money on disconnected experiments or fall behind competitors who move faster. Here is why you need one and what it should cover.

3

Module 2.1: Mapping Your Business Processes to AI Use Cases

A systematic approach to finding AI opportunities in your organization — starting with the processes you already have, not the technology you want to use.

4

Module 2.2: The AI Opportunity Assessment Framework

A structured framework for evaluating and scoring AI opportunities so your team can make data-driven decisions about where to invest.

5

Module 3.1: Calculating ROI for AI Projects

How to build a credible ROI model for an AI project — including the costs most teams forget and the benefits that are hardest to quantify.

6

Module 3.2: Getting Buy-In from Stakeholders

A practical guide to presenting your AI business case to different stakeholders — and handling the objections you will definitely face.

7

Module 4.1: Build vs Buy vs Partner — Making the Right Choice

When should you build a custom AI solution, buy an off-the-shelf product, or partner with a specialist? A decision framework for each scenario.

8

Module 4.2: Evaluating AI Vendors and Tools

A practical checklist for evaluating AI vendors — from technical due diligence to contract red flags — so you do not end up locked into the wrong platform.

9

Module 5.1: From Pilot to Production — The AI Implementation Roadmap

Most AI projects fail not because the technology does not work, but because the rollout is mismanaged. Here is a step-by-step implementation roadmap that avoids the common pitfalls.

10

Module 5.2: Managing the Human Side of AI Adoption

AI changes how people work. If you do not manage that change intentionally, even the best technology will fail. Here is how to bring your team along.

11

Module 6.1: Responsible AI — Ethics, Bias, and Compliance

AI governance is not optional — it is a business requirement. This lesson covers the practical steps to ensure your AI systems are ethical, fair, and compliant.

12

Module 6.2: Your 90-Day AI Action Plan

The final lesson: a concrete 90-day plan that turns everything you have learned into action. Walk away with a documented strategy ready for your leadership team.

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