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AB-731T00: Drive AI transformation in your organization
Lead your organisation’s AI journey with confidence. Designed for business leaders, this self-paced course shows you how to spot high-impact AI opportunities, align investment with business goals, build an adoption roadmap and champion responsible AI at scale using Microsoft Copilot and Foundry. It requires no coding and prepares you for the Microsoft Certified: AI Transformation Leader (AB-731) exam.
Duration
1 Day (8 Hours)
Modules
8 Modules
Course type
Microsoft
Course Overview
The course equips senior leaders with the strategic knowledge to drive AI transformation across their organizations. Learners will discover how to identify high-impact AI opportunities, align AI investments with business goals, and lead with a focus on responsible and ethical AI use. With an emphasis on real-world applications and decision-making, the course requires no technical background. It's designed to empower executives to confidently champion AI adoption, foster innovation, and position their organizations for long-term success in the AI era.
Before You Begin
- Experience in Strategic or Leadership Roles
- Basic Understanding of Business Operations
- Interest in Technology-Driven Innovation
Key outcomes
- 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.
Tools you’ll use
AI Investment Alignment Matrix
AI Opportunity Identification Framework
Responsible AI Assessment Checklist
Skills you’ll gain
- AI investments
- AI governance frameworks
- Strategic AI Leadership
- Strategic AI Leadership
- Responsible & Ethical AI Implementation
What You’ll Learn
8 modules
1Module 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
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
2Module 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
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
3Module 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
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
4Module 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
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
5Module 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
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
6Module 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
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
7Module 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
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
8Module 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
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
Certification & Credentials
Certificate track
1 Day (8 Hours)
Target Audience
Intended roles
- Chief AI Officer
- Transformation Executive
Frequently asked questions
How does this course approach responsible AI?
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.
Can I use what I learn in any industry?
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.
What are some practical tools I will gain from this course?
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.
Does this course cover risks and challenges of AI adoption?
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.
Will I receive a certificate after completing the course?
Yes. Upon successful completion, you’ll receive a certificate that demonstrates your readiness to lead AI transformation initiatives within your organization.
| Duration | 1 Day (8 Hours) |
|---|---|
| Modules | 8 Modules |
| Course type | Microsoft |
| Category | Microsoft |
| Intended roles | Chief AI Officer, Transformation Executive |
| Prerequisites | Experience in Strategic or Leadership Roles, Basic Understanding of Business Operations, Interest in Technology-Driven Innovation |
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