Welcome to the AB-731: AI Transformation Leader Exam Prep Hub!
Welcome to the one-stop hub with information for preparing for the AB-731: AI Transformation Leader certification exam. The content for this exam helps prepare you to “understand how to recognize opportunities for AI transformation, identify the right AI tools and resources, plan for AI adoption, optimize business processes, guide transformation, and drive innovation by using Microsoft 365 Copilot and Azure AI services”.
Upon successful completion of the exam, you earn the Microsoft Certified: AI Transformation Leader certification.
This hub provides information directly here (topic-by-topic as outlined in the official study guide), links to a number of external resources, tips for preparing for the exam, practice tests, and section questions to help you prepare. Bookmark this page and use it as a guide to ensure that you are fully covering all relevant topics for the AB-731 exam and making use of as many of the resources available as possible.
Audience profile (from Microsoft’s site)
As a candidate for this Microsoft Certification, you should understand how to recognize opportunities for AI transformation, identify the right AI tools and resources, plan for AI adoption, optimize business processes, and drive innovation by using Microsoft 365 Copilot and Azure AI services.
This Certification is designed for business decision-makers at all levels who are responsible for guiding transformation and innovation within their teams or organizations. In this role, you’re expected to demonstrate AI fluency, strategic vision, and the ability to lead AI adoption across teams and functions but are not expected to write any code.
As a candidate for this Certification, you should be able to evaluate AI opportunities, champion responsible AI practices, and align AI investments with business goals. You need experience leading adoption or change management in a business context. You must also be familiar with Microsoft 365 services, Microsoft Foundry, and general AI capabilities.
Skills at a glance (as specified in the official study guide)
- Identify the business value of generative AI solutions (35–40%)
- Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services (35–40%)
- Identify an implementation and adoption strategy for Microsoft’s AI apps and services (20–25%)
Topic-by-Topic Exam Content
[click a topic link to access the content and practice questions for that topic]
Identify the business value of generative AI solutions (35–40%)
Identify the foundational concepts of generative AI
- Describe the differences between generative AI and other types of AI
- Select a generative AI solution to meet a business need
- Describe the differences between AI models, including fine-tuned and pretrained models
- Explain the cost drivers in generative AI usage, including tokens and return-on-investment (ROI) considerations
- Identify the challenges of using generative AI solutions, including fabrications, reliability, and bias
- Identify when generative AI solutions can provide business value, including scalability and automation
Identify benefits and capabilities of generative AI solutions
- Describe the impact of prompt engineering
- Understand techniques of prompt engineering
- Identify business requirements for grounding solutions
- Understand how retrieval-augmented generation (RAG) is used for AI solutions
- Understand the impact of data on AI solutions, including data type, data quality, and representative datasets
- Describe the importance of secure AI
- Identify scenarios when machine learning adds value
- Describe the lifecycle of a machine learning solution
- Identify security considerations for AI systems, including application security, data security, and authentication requirements
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services (35–40%)
Identify benefits and capabilities of Microsoft 365 Copilot and Microsoft Copilot
- Map business processes and use cases to Copilot
- Understand differences in capabilities between versions of Copilot
- Understand capabilities of Microsoft 365 Copilot Chat web and mobile experiences
- Understand capabilities of the Copilot experience in various Microsoft 365 apps
- Understand capabilities of Microsoft Copilot Studio
- Understand capabilities of Microsoft Graph
- Identify benefits and capabilities of an integrated Microsoft AI solution, including risk mitigation and safety benefits
- Map business processes and use cases to Microsoft’s AI apps and services
- Identify when to use Researcher or Analyst in Copilot
- Identify when to build, buy, or extend, including the Microsoft 365 Copilot extensibility framework
Identify benefits and capabilities of Foundry Tools
- Map business processes and use cases to Foundry Tools
- Identify capabilities of Azure AI services, including Azure Vision in Foundry Tools, Azure AI Search, and Microsoft Foundry
- Match an AI model to a business need
- Identify the benefits of Microsoft Foundry and Foundry Tools, including scalability and security
Identify an implementation and adoption strategy for Microsoft’s AI apps and services (20–25%)
Align an AI strategy with Microsoft responsible AI policies
- Explain the importance of responsible AI
- Establish governance principles for AI use
- Establish an AI council to guide strategy, oversight, and cross-functional alignment
- Ensure that AI solutions meet responsible AI standards, including fairness, reliability, safety, privacy, security, inclusiveness, transparency, and accountability
Plan for AI adoption across the organization
- Understand Azure AI services subscription models, including pay-as-you-go and prepaid
- Establish an adoption team
- Identify common barriers to adoption
- Establish an AI champions program
- Understand potential impacts to data, security, privacy, and cost
- Understand Copilot license types, including pay-as-you go, monthly, and included with Microsoft 365 subscription
AB-731 Practice Exams
- AB-731 Practice Exam #1 (30 questions)
- AB-731 Practice Exam #2 (30 questions)
- AB-731 Practice Exam #3 (30 questions)
- AB-731 Practice Exam #4 (30 questions)
Important AB-731 Resources
Link to the free, comprehensive, self-paced course on Microsoft Learn: Drive AI transformation in your organization
https://learn.microsoft.com/en-us/training/courses/ab-731t00
The course has 3 Learning paths:
(1) Explore the business value of generative AI solutions
This learning path has two (2) modules:
- Understand the foundations of generative AI for business leaders
- Build effective generative AI solutions in your organization
(2) Drive business value with AI solutions
This learning path has two (2) modules:
- Drive business value with Microsoft Copilot solutions
- Drive business value with AI using Microsoft Foundry Tools
(3) Transform your business with AI
This learning path has four (4) modules:
- Leverage AI tools and resources for your business
- Create business value with AI
- Embrace responsible AI principles and practices
- Scale AI in your organization
Link to certification page and study guide:
- Link to the “Microsoft Certified: AI Transformation Leader” Certification page:
https://learn.microsoft.com/en-us/credentials/certifications/ai-transformation-leader/?practice-assessment-type=certification - Link to the Study Guide for Exam AB-731: AI Transformation Leader:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ab-731
YouTube resources:
- Microsoft AB-731 AI Transformation Leader | Full Certification Course: How to Scale AI Across Your Organization | AB-731 AI Transformation Leader by Skilltech Club
A highly rated courses for AB-731 on Udemy:
Good luck to you passing the AB-731 Exam!
However, the more preparation you have, the less luck you will need. 🙂
The Data Community 