AB-731: Drive AI transformation in your organization

In this course, learners will explore how to lead AI transformation across their organization. They’ll learn practical strategies to identify high-impact AI opportunities, align investments with business goals, and champion responsible AI practices. The course emphasizes real-world applications and strategic decision-making—no technical expertise required—making it ideal for senior leaders who want to confidently drive AI adoption and innovation.

Course Objectives

  • Understand the foundations of generative AI for business leaders
  • Build effective generative AI solutions in your organization
  • Drive business value with Microsoft Copilot solutions
  • Drive business value with AI using Microsoft Foundry Tools
  • Leverage AI tools and resources for your business
  • Create business value with AI
  • Embrace responsible AI principles and practices
  • Scale AI in your organization

Who should attend

This course is designed for business leaders, including directors, VPs, and executives across marketing, sales, operations, HR, finance, and strategy. It’s also suitable for aspiring leaders who want to understand how to adopt and scale AI responsibly. Learners will gain practical knowledge and tools to plan, strategize, and implement AI initiatives using Microsoft technologies.

1. Introduction to AI transformation

  • What AI transformation means for modern organizations
  • From experimentation to business value
  • Common myths and pitfalls around AI adoption

2. AI strategy and vision

  • Aligning AI initiatives with business goals
  • Identifying high-impact use cases across the organization
  • Defining success criteria and KPIs for AI initiatives

3. Organizational readiness for AI

  • Assessing data maturity and technical foundations
  • Skills, roles, and responsibilities in an AI-driven organization
  • Change management and cultural readiness

4. Governance, risk, and responsible AI

  • Ethical considerations and responsible AI principles
  • Data privacy, security, and compliance
  • Establishing governance models for AI at scale

5. Driving adoption and change

  • Building trust and engagement among employees
  • Enabling collaboration between business and IT
  • Communication strategies for successful AI rollout

6. AI in business processes

  • Integrating AI into existing workflows
  • Automating decision support and operational tasks
  • Measuring productivity and business impact

7. Scaling AI initiatives

  • From pilot projects to enterprise-wide implementation
  • Managing technical and organizational complexity
  • Continuous improvement and innovation with AI

8. Real-world use cases and best practices

  • Case studies from successful AI transformations
  • Lessons learned from failed and successful initiatives
  • Practical frameworks you can apply immediately

9. Creating your AI transformation roadmap

  • Prioritizing initiatives
  • Short-term wins vs. long-term transformation

Who is this course for?
This course is designed for leaders, decision-makers, and professionals who are responsible for driving or supporting AI initiatives within their organization. It is especially relevant for managers, business leaders, digital transformation leads, and IT professionals working closely with the business.

Do I need technical or coding skills to attend?
No. This course focuses on strategy, governance, adoption, and organizational impact. No coding or deep technical background is required.

What will I learn in this course?
You will learn how to define an AI strategy aligned with business goals, assess organizational readiness, manage risks and governance, and successfully drive adoption of AI across your organization.

Is this a hands-on technical course?
No. The course is business- and strategy-oriented. It emphasizes real-world use cases, frameworks, and best practices rather than technical implementation details.

How is this course different from AB-730?
AB-730 focuses on transforming business workflows using generative AI and Microsoft 365 Copilot. AB-731 takes a broader, organizational perspective and focuses on leading and scaling AI transformation across the entire organization.

What kind of use cases are covered?
The course explores practical use cases across business functions such as operations, HR, sales, finance, and management, with a focus on value creation and scalability.

Does the course cover governance and responsible AI?
Yes. Governance, risk management, ethical considerations, and responsible AI are key components of the course content.

Will I leave with something I can apply immediately?
Yes. You will work with frameworks and best practices that help you create a clear AI transformation roadmap tailored to your organization.

Is this course relevant if my organization is just starting with AI?
Absolutely. The course is designed to support both early-stage AI adoption and organizations looking to scale existing initiatives.

Does the course include real-world examples?
Yes. The course includes case studies and lessons learned from real-world AI transformation initiatives.

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