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MS-AB731T00: Drive AI Transformation in your Organization
Course Code: MS-AB731T00
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.
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.
- Basic understanding of IT concepts.
- Basic understanding of business concepts
After completing this course, students will be able to:
- Explore the business value of generative AI solutions
- Drive business value with AI solutions
- Drive business value with AI using Microsoft Foundry Tools
- Transform your business with AI
This course will prepare delegates to write the Microsoft AB-731: AI Transformation Leader Exam.
Modules
Generative AI is revolutionizing the way organizations innovate, operate, and compete. For business leaders, understanding the foundations of generative AI is essential to unlocking new opportunities, driving measurable business value, and leading successful transformation. This module provides a practical overview of generative AI concepts, technologies, and solutions—including Microsoft Copilot, Azure AI, and intelligent agents—while guiding you through real-world scenarios, cost considerations, and strategies for responsible adoption.
Lessons:
- What is generative AI?
- Explore the business value of generative AI solutions
- Understand generative AI models
- Understand cost drivers in generative AI
- Identify challenges and opportunities in generative AI
After completing this module, students will be able to:
- Explain the foundational concepts and business value of generative AI for organizations.
- Identify and evaluate Microsoft generative AI solutions—including Copilot, Azure AI, and agents—for common business scenarios.
- Assess key considerations for adopting generative AI, including model selection, cost drivers, and responsible use.
- Recognize challenges and opportunities in generative AI, such as reliability, bias, and strategic alignment.
Discover how to make generative AI work for your organization. Learn the essential elements of building reliable, responsible AI solutions—from crafting effective prompts and grounding AI in trusted data, to ensuring data quality, security, and understanding when to leverage machine learning. Gain practical insights to help you drive business value and confidently lead your AI adoption journey.
Lessons:
- Understand prompt engineering
- Ground AI using trusted data
- Build Trustworthy AI - Data and security considerations
- Understand the business value of machine learning
After completing this module, students will be able to:
- Explain why prompt engineering influences AI outcomes.
- Describe how grounding and RAG improve AI accuracy and trust.
- Identify key data quality and security needs for trustworthy AI.
- Recognize when to use machine learning and understand its lifecycle.
Discover how Microsoft Copilot can transform the way your organization works. Learn how Copilot integrates with Microsoft 365 apps to automate routine tasks, deliver actionable insights, and support secure, compliant innovation. Explore licensing options, extensibility with Copilot Studio, and practical strategies for maximizing Copilot's impact in your organization.
Lessons:
- Explore Copilot solutions
- Explore Copilot experiences
- Map business processes to Copilot solutions
- Extend and customize Copilot
- Explore responsible AI in Copilot
- Explore Copilot licensing
After completing this module, students will be able to:
- Understand the capabilities and organizational benefits of Copilot solutions.
- Identify where AI solutions can be mapped to business processes to deliver measurable value.
- Evaluate options for adopting, licensing, and extending AI solutions to fit your organization's needs.
Discover how Microsoft Foundry can accelerate innovation and efficiency across your organization. Learn how Microsoft Foundry Tools—such as Azure Vision, Azure Language, Azure Document Intelligence, and Azure Search—enable secure, compliant solutions for real business challenges. Explore approaches with prebuilt tools, Foundry Models, and retrieval-augmented generation (RAG), and gain practical strategies for selecting the right approach to deliver measurable impact.
Lessons:
- Why Microsoft Foundry matters
- Connect business scenarios to Foundry solutions
- Choose the right Foundry model for your goals
- Understand Foundry subscription models
After completing this module, students will be able to:
- Describe how Microsoft Foundry enables secure, compliant business transformation.
- Recognize key Foundry Tools and their primary use cases.
- Match business needs to appropriate Foundry solutions.
- Select appropriate Foundry Models and subscription options for your organization.
Drive business transformation with Azure cloud and AI. Learn how to unify your data estate, modernize infrastructure, and build intelligent apps and agents—while securing AI with governance, compliance, and responsible practices to deliver measurable outcomes.
Lessons:
- Identify basic AI technology concepts
- Understand the foundations of AI
- Learn the Microsoft AI approach
- Explore Copilot and agents at work
- Drive transformation with Azure cloud and AI platforms
- Secure AI for a strong foundation
After completing this module, students will be able to:
- Prioritize AI use cases by value, feasibility, and time to value, and track results with clear Key Performance Indicators (KPIs).
- Unify data, modernize infrastructure, and adopt Azure services to run secure, compliant AI at scale.
- Put governance, security, and regulatory controls in place to manage risk and maintain trust.
- Enable people to use AI in daily work with Copilot, agents, and low code tools to boost productivity and streamline processes.
Learn to turn AI experiments into dependable drivers of measurable business outcomes.
Lessons:
- Business strategy
- Technology and data strategy
- AI strategy and experience
- Organization and culture
- AI governance
After completing this module, students will be able to:
- Align AI strategies with business priorities to focus on high-impact areas.
- Design a scalable and secure foundation for AI deployment.
- Accelerate AI adoption through effective tools and methods.
- Develop governance strategies to manage risk responsibly.
- Integrate organization and culture changes for efficient AI implementation.
Learn how to embrace responsible AI practices that build trust and unlock value. Explore Microsoft’s principles, governance systems, and real-world examples to help you design policies, processes, and safeguards for ethical, secure, and scalable AI adoption.
Lessons:
- Prepare for responsible AI
- Identify guiding principles for responsible AI
- Design a system for AI governance
- Apply systems for AI governance
- Responsible AI at Microsoft
- Put responsible AI frameworks in action
After completing this module, students will be able to:
- Explain why responsible AI matters and identify its societal implications.
- Apply Microsoft’s six guiding principles for responsible AI in your organization.
- Design a governance system that turns principles into actionable policies and controls.
- Take practical steps to implement responsible AI across teams and processes.