AB-731: AI Transformation Leader Certification Training
Microsoft’s business-strategy AI credential — built for decision-makers who need to guide AI adoption, evaluate Copilot and Foundry Tools, and champion responsible AI, without writing a line of code.
Find Your Path
Considering AB-731? Speak with our team first.
Fill in the form below and we will arrange a personal consultation to walk you through what AB-731 covers, who it is designed for, and whether it aligns with your goals — at no cost, and with no obligation to enroll.
Prerequisites
AB-731 has no formal prerequisites, but candidates typically bring:
- Some experience leading adoption, change management, or transformation initiatives in a business context
- General familiarity with Microsoft 365 services and everyday AI concepts
- No coding or technical implementation background required — this exam tests strategic judgment, not build skills
- Comfort evaluating tools and vendors against business outcomes, not just features
Skills You’ll Gain
AB-731 Syllabus — Detailed Topics
Click any topic to expand.
Foundations of Generative AI for Business Leaders
Grounding in how generative AI differs from other AI types, and how to evaluate it as a business tool rather than a technical black box:
- Differences between generative AI and other types of AI
- Selecting a generative AI solution to meet a business need
- Differences between AI models, including fine-tuned and pretrained models
- Cost drivers in generative AI usage — tokens and ROI considerations
- Challenges of generative AI — fabrications, reliability, and bias
- When generative AI provides real business value — scalability and automation
Business Value & ROI of Generative AI
Understanding the mechanics behind AI solutions well enough to evaluate them credibly:
- The impact and techniques of prompt engineering
- Business requirements for grounding solutions
- How retrieval-augmented generation (RAG) is used in AI solutions
- The impact of data — type, quality, and representativeness
- Why secure AI matters, and where machine learning adds value
- Security considerations — application security, data security, authentication
Microsoft 365 Copilot for Business Transformation
Mapping Copilot’s actual capabilities to real business processes and use cases:
- Mapping business processes and use cases to Copilot
- Differences between versions of Copilot
- Microsoft 365 Copilot Chat web and mobile experiences
- Copilot experiences across Microsoft 365 apps
- Microsoft Copilot Studio and Microsoft Graph capabilities
- When to use Researcher or Analyst in Copilot
- When to build, buy, or extend — the Copilot extensibility framework
Foundry Tools & the Microsoft AI Platform
A leader-level view of Microsoft’s broader AI platform, beyond Copilot alone:
- Mapping business processes and use cases to Foundry Tools
- Capabilities of Foundry Tools — Azure Vision, Azure AI Search, Microsoft Foundry
- Matching an AI model to a business need
- Benefits of Microsoft Foundry and Foundry Tools — scalability and security
Responsible AI Governance & Policy
What it takes to lead AI adoption responsibly, not just quickly:
- Why responsible AI matters at a governance level
- Establishing governance principles for AI use
- Setting up an AI council for strategy, oversight, and cross-functional alignment
- Ensuring AI solutions meet responsible AI standards — fairness, reliability, safety, privacy, security, inclusiveness, transparency, accountability
Planning AI Adoption Across the Organization
The practical playbook for rolling AI out without it stalling:
- Establishing an adoption team and an AI champions program
- Common barriers to adoption, and how to plan around them
- Impacts to data, security, privacy, and cost
- Copilot license types — pay-as-you-go, monthly, included with Microsoft 365
- Foundry Tools subscription models — pay-as-you-go and commitment tiers
Skills Measured
Audience Profile
This certification is designed for business decision-makers at all levels who are responsible for guiding transformation and innovation within their teams or organizations. You’re expected to demonstrate AI fluency, strategic vision, and the ability to lead AI adoption across teams and functions — but you are not expected to write any code. You should be able to evaluate AI opportunities, champion responsible AI practices, and align AI investments with business goals, with experience leading adoption or change management and familiarity with Microsoft 365 and Microsoft Foundry.
Identify the business value of generative AI solutions35–40%
Identify the foundational concepts of generative AI
- Differences between generative AI and other types of AI
- Selecting a generative AI solution to meet a business need
- Differences between AI models, including fine-tuned and pretrained models
- Cost drivers in generative AI usage, including tokens and ROI considerations
- Challenges of using generative AI solutions, including fabrications, reliability, and bias
- When generative AI solutions can provide business value, including scalability and automation
Identify benefits and capabilities of generative AI solutions
- The impact of prompt engineering, and techniques of prompt engineering
- Business requirements for grounding solutions
- How retrieval-augmented generation (RAG) is used for AI solutions
- The impact of data on AI solutions, including data type, quality, and representative datasets
- The importance of secure AI, and scenarios where machine learning adds value
- The lifecycle of a machine learning solution
- Security considerations for AI systems, including application security, data security, and authentication requirements
Identify benefits, capabilities & opportunities for Microsoft’s AI apps and services35–40%
Identify benefits and capabilities of Microsoft 365 Copilot and Microsoft Copilot
- Mapping business processes and use cases to Copilot
- Differences in capabilities between versions of Copilot
- Capabilities of Microsoft 365 Copilot Chat web and mobile experiences
- Capabilities of the Copilot experience in various Microsoft 365 apps
- Capabilities of Microsoft Copilot Studio and Microsoft Graph
- Benefits and capabilities of an integrated Microsoft AI solution, including risk mitigation and safety benefits
- Mapping business processes and use cases to Microsoft’s AI apps and services
- When to use Researcher or Analyst in Copilot
- When to build, buy, or extend, including the Microsoft 365 Copilot extensibility framework
Identify benefits and capabilities of Foundry Tools
- Mapping business processes and use cases to Foundry Tools
- Capabilities of Foundry Tools, including Azure Vision in Foundry Tools, Azure AI Search, and Microsoft Foundry
- Matching an AI model to a business need
- Benefits of Microsoft Foundry and Foundry Tools, including scalability and security
Identify an implementation and adoption strategy for Microsoft’s AI apps and services20–25%
Align an AI strategy with Microsoft responsible AI policies
- The importance of responsible AI
- Establishing governance principles for AI use
- Establishing an AI council to guide strategy, oversight, and cross-functional alignment
- Ensuring AI solutions meet responsible AI standards — fairness, reliability, safety, privacy, security, inclusiveness, transparency, and accountability
Plan for AI adoption across the organization
- Establishing an adoption team and an AI champions program
- Common barriers to adoption
- Potential impacts to data, security, privacy, and cost
- Copilot license types, including pay-as-you-go, monthly, and included with Microsoft 365 subscription
- Foundry Tools subscription models, including pay-as-you-go and commitment tiers
Why This Certification Matters
AB-731 is Microsoft’s answer to a real gap: most AI certifications test whether you can build something, not whether you can lead the decision to build it. This exam is squarely a business-strategy credential — it validates that you can evaluate AI opportunities, govern them responsibly, and drive adoption across an organization, without ever touching code.
That distinction matters for credibility. A leader who’s certified in AB-731 has demonstrated fluency in the same vocabulary their technical teams use — Copilot licensing models, Foundry Tools, responsible AI governance — without needing to become a developer to earn it.
It also sits deliberately between AB-730 (AI Business Professional, which tests hands-on Copilot use) and more technical, expert-level AI architecture certifications — AB-731 is about deciding what to adopt and how, not configuring the solution yourself.
Flexible by design. Delivery format and pacing adjust to the audience — a compact cohort format for corporate leadership teams, and an extended, exam-prep-paced format for individual learners. Talk to us about what fits.
Frequently Asked Questions
Do I need to know how to code for AB-731?
No. AB-731 is explicitly designed for business decision-makers and does not require any coding or technical implementation skills. It tests strategic judgment and business fluency in AI, not build skills.
How is AB-731 different from AB-730?
AB-730 (AI Business Professional) tests hands-on, day-to-day use of Copilot and generative AI tools. AB-731 sits a level above it — it tests your ability to lead AI strategy, governance, and adoption across an organization, rather than your personal use of the tools.
Who should take this certification?
Business decision-makers at any level — executives, department leaders, change management and transformation professionals, and anyone responsible for guiding AI adoption within their team or organization.
What should I do after AB-731?
Many leaders pair AB-731 with AB-730 for a complete strategic-plus-hands-on picture of Copilot. Those moving into more technical AI architecture or solution design roles typically progress toward Microsoft’s expert-level AI architecture certifications next.
Enroll in Certification Training
The full paid training program — format and duration vary by audience. This is separate from the complimentary consultation above.