AI transformation in organization
Overview Prerequisites Skills You’ll Gain Self Study Materials Included Tools What You’ll Learn Course Modules FAQs

What’s Included?

icon High-Quality Video, E-book & Audiobook icon Module Quizzes icon AI Mentor icon Access for Tablet & Phone

Prerequisites

    • Experience in Strategic or Leadership Roles
    • Basic Understanding of Business Operations
    • Interest in Technology-Driven Innovation

Skills You’ll Gain

  • AI investments
  • AI governance frameworks
  • Strategic AI Leadership
  • Strategic AI Leadership
  • Responsible & Ethical AI Implementation

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Supplementary references and list of tools to deepen knowledge and practical application.

Tools You’ll Master

AI Investment Alignment Matrix

AI Investment Alignment Matrix

AI Opportunity Identification Framework

AI Opportunity Identification Framework

Responsible AI Assessment Checklist

Responsible AI Assessment Checklist

What You’ll Learn

Learn how to evaluate and prioritize AI use cases that align with your organization’s goals and deliver measurable business value.

Gain tools to assess ROI, manage risk, and ensure AI initiatives are connected to long-term organizational success.

Understand the principles of responsible AI and how to apply governance frameworks to ensure fairness, transparency, and compliance.

Use maturity models to evaluate current capabilities and define the steps needed to scale AI adoption effectively.

Develop leadership strategies to drive cultural shifts, overcome resistance, and foster a data-driven, innovation-ready mindset across teams.

Course Modules

Module 1:Understand the foundations of generative AI for business leaders
  • 1.1 Introduction
  • 1.2 What is generative AI?
  • 1.3 Explore the business value of generative AI solutions
  • 1.4 Understand generative AI models
  • 1.5 Understand cost drivers in generative AI
  • 1.6 Identify challenges and opportunities in generative AI
  • 1.7 Summary
Module 2: Build effective generative AI solutions in your organization
  • 2.1 Introduction
  • 2.2 Understand prompt engineering
  • 2.3 Ground AI using trusted data
  • 2.4 Build Trustworthy AI – Data and security considerations
  • 2.5 Understand the business value of machine learning
  • 2.6 Summary
Module 3: Drive business value with Microsoft Copilot solutions
  • 3.1 Introduction
  • 3.2 Explore Copilot solutions
  • 3.3 Explore Copilot experiences
  • 3.4 Map business processes to Copilot solutions
  • 3.5 Extend and customize Copilot
  • 3.6 Explore responsible AI in Copilot
  • 3.7 Explore Copilot licensing
  • 3.8 Summary
Module 4: Drive business value with AI using Microsoft Foundry Tools
  • 4.1 Introduction
  • 4.2 Why Microsoft Foundry matters
  • 4.3 Connect business scenarios to Foundry solutions
  • 4.4 Choose the right Foundry model for your goals
  • 4.5 Understand Foundry subscription models
  • 4.6 Summary
Module 5: Leverage AI tools and resources for your business
  • 5.1 Introduction
  • 5.2 Identify basic AI technology concepts
  • 5.3 Understand the foundations of AI
  • 5.4 Learn the Microsoft AI approach
  • 5.5 Explore Copilot and agents at work
  • 5.6 Drive transformation with Azure cloud and AI platforms
  • 5.7 Secure AI for a strong foundation
  • 5.8 Summary
Module 6: Create business value with AI
  • 6.1 Introduction
  • 6.2 Business strategy
  • 6.3 Technology and data strategy
  • 6.4 AI strategy and experience
  • 6.5 Organization and culture
  • 6.6 AI governance
  • 6.7 Summarize AI drivers for business value
Module 7: Embrace responsible AI principles and practices
  • 7.1 Introduction
  • 7.2 Prepare for responsible AI
  • 7.3 Identify guiding principles for responsible AI
  • 7.4 Design a system for AI governance
  • 7.5 Apply systems for AI governance
  • 7.6 Responsible AI at Microsoft
  • 7.7 Put responsible AI frameworks in action
  • 7.8 Summary
Module 8: Scale AI in your organization
  • 8.1 Introduction
  • 8.2 Unlock AI value
  • 8.3 Organize for AI success
  • 8.4 Empower business users with AI
  • 8.5 Empower subject matter experts with AI
  • 8.6 Summary

Frequently Asked Questions

You’ll learn how to apply frameworks for ethical AI use, including transparency, bias mitigation, data privacy, and regulatory compliance—crucial for building trust and long-term success.

Yes. The course includes cross-industry case studies and frameworks that are adaptable to a wide range of sectors including finance, healthcare, retail, logistics, and more.

You’ll walk away with strategic tools like the AI Opportunity Framework, Investment Alignment Matrix, AI Readiness Assessment, and Change Management Toolkit tailored for AI projects.

Yes. You’ll learn how to proactively manage common challenges such as data quality, model bias, overhype, lack of stakeholder alignment, and unclear ROI expectations.

Yes. Upon successful completion, you’ll receive a certificate that demonstrates your readiness to lead AI transformation initiatives within your organization.