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Generative AIIntermediateEnglishAI tutor (coming soon)

Generative AI for Business Leaders

Build an AI strategy that creates measurable value, without betting the business on hype.

14 h20 lessonsUpdated October 2026

What you’ll learn

  • Score a portfolio of AI use cases by value, feasibility and risk
  • Estimate the costs and expected returns of an AI initiative
  • Draft an AI usage policy tailored to your organization
  • Present a one-page AI strategy and a 90-day pilot plan to your leadership team

About this course

Generative AI is reshaping how organizations write, analyze, sell and serve customers. For leaders, the hard part is not the technology itself but deciding where it creates real value, what it will cost and how to adopt it without exposing the business to new risks.

This course gives you a practical framework to evaluate opportunities, prioritize use cases, decide between building and buying, and set up the governance your teams need. You will work through realistic scenarios from operations, customer service, marketing and finance, and learn the questions to ask vendors and technical teams.

You will finish with a one-page AI strategy and a 90-day pilot plan for your organization, including success metrics, risk controls and a change-management approach. An AI tutor is available throughout the course to help you apply each concept to your own context.

Course objectives

  • Explain what generative AI can and cannot do in plain business terms
  • Identify and prioritize high-value use cases across the organization
  • Evaluate build, buy and partner options for AI solutions
  • Set up governance for privacy, security and responsible use
  • Lead the change so that teams adopt AI with confidence

Skills you’ll gain

  • AI Strategy
  • Change Management
  • Generative AI

Course content

5 modules · 20 lessons · 14 h

Try an interactive practiceWhy generative AI is a leadership topic
01Generative AI in plain business terms

What the technology does, where it fails and why it matters now.

02Finding value: use cases and prioritization

Map the opportunities and decide where to start.

  • Where generative AI creates value today (Video)12 min
  • A framework to score use cases (Reading)12 min
  • Case study: rethinking customer service (Lab)18 min
  • Workshop: map the opportunities in your organization (Exercise)34 min
03Build, buy or partner

Economics, vendors and the technical choices leaders need to understand.

  • The economics of AI: costs, returns and hidden expenses (Video)13 min
  • Evaluating vendors and platforms (Reading)18 min
  • Data readiness: what your AI initiatives need (Reading)11 min
  • Exercise: build the business case (Exercise)35 min
04Governance and responsible AI

Policies and controls that let teams move fast and stay safe.

  • Risks: privacy, security, bias and intellectual property (Video)15 min
  • Writing an AI usage policy (Reading)19 min
  • Regulation and accountability: what leaders should track (Reading)15 min
  • Knowledge check: governance (Quiz)13 min
05Leading the adoption

Pilots, metrics and the change management that makes adoption stick.

Requirements

  • Experience leading a team, a budget or a business unit
  • No technical or programming background required

Who this course is for

  • Executives and senior managers
  • Business unit and product leaders
  • Consultants who advise organizations on digital transformation

Earn a verifiable certificate

Complete the course requirements to receive a digital certificate with a unique serial number and QR code. Share it on LinkedIn and let anyone confirm it in seconds.

How verification works

Your instructor

Mastery Certifications Academic Team

Course design, review and quality assurance

The Mastery Certifications academic team designs, reviews and maintains every course in the catalog. Each course is checked by a subject-matter instructor before it is published, and its practice exercises are verified automatically.

Frequently asked questions

Do I need a technical background?

No. The course focuses on decisions, not code. Technical concepts are explained in plain language with business examples.

How does the AI tutor help me?

The AI tutor is an assistant inside the course that answers questions about the lessons and helps you adapt the exercises to your industry and organization.

Does the course recommend specific AI vendors?

No. The course is vendor-neutral: you will learn how to evaluate any provider against your own requirements.

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