Exam AB-731 AI Transformation Leader (Video)

Over 2 Hours of Video Instruction

Learn practical strategies to evaluate Microsoft's AI solutions, drive adoption, and identify opportunities to use AI to deliver business value.

Overview:

Generative AI and tools like Microsoft 365 Copilot are reshaping the way organizations work. The shift from manual processes to augmented workflows creates opportunities for improved efficiency, creativity, and better decision-making. When Copilot is widely adopted in an organization it can be a catalyst for business transformation, enabling leaders to reduce digital debt, accelerate innovation, and empower teams to focus on high-value work. Yet successful AI adoption requires more than technology implementation. It requires clarity of purpose, strong leadership, and a culture ready to embrace change.

This course equips business decision makers and consultants with practical strategies to lead AI transformation responsibly and effectively. You'll learn how to evaluate Microsoft's AI solutions for real business scenarios, leverage Copilot across Microsoft 365 apps, and understand how Azure AI services can help you scale securely. Beyond tools, you'll explore how to apply Microsoft's Responsible AI principles, build an adoption strategy that addresses change management and governance, and foster champions who drive engagement. By the end, you'll have the confidence and frameworks to align AI initiatives with organizational goals to deliver measurable business value.

This course is designed to prepare students for the AB-731 Microsoft Certified: AI Transformation Leader exam.

Skill Level:

• Beginner

Learn How To:

• Explain generative AI and how it differs from other AI approaches
• Identify scenarios where generative AI creates measurable business value
• Assess generative AI solutions for specific business problems
• Compare benefits and limitations, including cost, reliability, and ethical considerations
• Understand Copilot's capabilities across Microsoft 365 apps
• Demonstrate how to streamline workflows using Copilot and AI related tools
• Recognize key Azure AI services and models
• Match services to use cases, highlighting scalability, security, and integration benefits
• Use Microsoft's Responsible AI principles in project planning
• Ensure compliance and governance in AI initiatives
• Create an AI adoption strategy for your organization, considering change management, team roles, common adoption barriers, and licensing considerations.

Course Requirement:

• Familiarity with Microsoft 365 applications such as SharePoint, Word, Excel, PowerPoint.

Who Should Take This Course:

• The target audience for this course and certification is business decision-makers and leaders.
• Primary audience is business decision-makers who are responsible for setting the AI strategy and adoption targets for their organizations.
• Secondary audience is consultants who are helping business leaders establish AI strategies and adoption plans.

About Pearson Video Training:

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more.  Learn more about Pearson Video training at  http://www.informit.com/video.

Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.

Table of Contents

Introduction

Lesson 1: Understanding the Foundational Concepts of Generative AI

1.1 Core AI concepts: contrasting generative AI and traditional AI

1.2 AI models: pretrained vs. fine-tuned models and where each applies

1.3 Cost drivers and ROI considerations

1.4 When AI adds value: scalability, automation benefits, and recognizing appropriate use cases

Lesson 2: Exploring the Benefits and Capabilities of Generative AI Solutions

2.1 Business opportunities: efficiency and innovation

2.2 Limitations and risks: "hallucinations," reliability, and bias

2.3 Prompting: how crafting inputs influences AI output quality

2.4 Grounding and data: importance of relevant data and RAG

2.5 Real-world examples

Lesson 3: Understanding What You Can Do with Microsoft 365 Copilot

3.1 Microsoft 365 Copilot capabilities across apps

3.2 Mapping AI workloads and scenarios

3.3 Differentiate between Copilot experiences

3.4 Extending Copilot: custom agents, grounding, and governance

3.5 The value of Microsofts integrated AI solutions

Lesson 4: Introduction to Microsoft Azure AI Solutions

4.1 Overview of Azure AI services and their business applications

4.2 How to map use cases to the right Azure service or AI model

4.3 Cloud advantages: scalability, security, and integration benefits of Azure for AI deployments

Lesson 5: AI Governance and Responsible AI

5.1 Microsoft responsible AI principles and why they matter

5.2 The vital role of AI governance

5.3 Policies and compliance

5.4 Risk mitigation

Lesson 6: Preparing for Change and Driving AI Adoption

6.1 Adoption roadmap: steps to successfully introduce and scale AI     

6.2 Change management: how to make AI adoption stick

6.3 The power of peer-to-peer learning: Microsoft Copilot Champions case study        

6.4 Overcoming barriers: common obstacles and mitigation strategies

6.5 Licensing and cost planning: understanding Microsoft 365 Copilot licensing and Azure cost models

Summary

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