- Duration: 1 day
Overview
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.
What You’ll Learn
- Explore how to lead AI transformation across their organization.
- Learn practical strategies to identify high-impact AI opportunities.
- Understand how to align investments with business goals.
- Champion responsible for AI practices in decision-making and implementation.
- Focus on real-world applications and strategic decisions that support AI adoption and innovation.
Target Audience
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 adapt and scale AI responsibly. Learners will gain practical knowledge and tools to plan, strategize, and implement AI initiatives using Microsoft technologies.
Prerequisites
- A basic understanding of business context and organizational strategy.
- Familiarity with Microsoft 365 services and Azure AI services is useful for engagement with course topics and the related AI Transformation Leader certification.
Curriculum
Module 1: Explore the business value of generative AI solutions
1.1 Understand the foundations of generative AI for business leaders
- 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
1.2 Build effective generative AI solutions in your organization
- Understand prompt engineering
- Ground AI using trusted data
- Build trustworthy AI – Data and security considerations
- Understand the business value to machine learning
Module 2: Drive business value with AI solutions
2.1 Drive business value with Microsoft Copilot solutions
- Explore Copilot solutions and experiences
- Map business processes to Copilot Solutions
- Extend and customize Copilot
- Explore responsible AI in Copilot
- Explore Copilot licensing
2.2 Drive business value with AI using Microsoft Foundry Tools
- Why Microsoft Foundry matters
- Connect business scenarios to Foundry solutions
- Choose the right Foundry model for your goals
- Understand Foundry subscription models
Module 3: Transform your business with AI
3.1 Leverage AI tools and resources for your business
- 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
3.2 Create business value with AI
- Business strategy
- Technology and data strategy
- AI strategy and experience
- Organization and culture
- AI governance
3.3 Embrace responsible AI principles and practices
- Prepare for responsible AI
- Identify guiding principles for responsible AI
- Design a system for governance
- Apply systems for governance
- Responsible AI at Microsoft
- Put responsible AI frameworks into action
3.4 Scale AI in your organization
- Unlock AI value
- Organize for AI success
- Empower business users with AI
- Empower subject matter experts with AI