Drive AI transformation in your organization (AB-731T00) Coming Soon

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.


Audience Profile

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.


Prerequisites

  • Basic understanding of IT concepts.
  • Basic understanding of business concepts.
Detaylari Göster


Course Syllabus

Explore the business value of generative AI solutions

Understand the foundations of generative AI for business leaders

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.

  • Introduction
  • 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
  • Module assessment
  • Summary


Build effective generative AI solutions in your organization

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.

  • Introduction
  • Understand prompt engineering
  • Ground AI using trusted data
  • Build Trustworthy AI - Data and security considerations
  • Understand the business value of machine learning
  • Module assessment
  • Summary


Drive business value with AI solutions

Drive business value with Microsoft Copilot solutions

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.

  • Introduction
  • Explore Copilot solutions
  • Explore Copilot experiences
  • Map business processes to Copilot solutions
  • Extend and customize Copilot
  • Explore responsible AI in Copilot
  • Explore Copilot licensing
  • Module assessment
  • Summary


Drive business value with Azure AI solutions

Discover how Azure AI can accelerate innovation and efficiency across your organization. Learn how Azure AI services—such as Vision, Language, Document Intelligence, and Search—enable secure, compliant solutions for real business challenges. Explore model options, including prebuilt services, foundation models, and retrieval-augmented generation (RAG), and gain practical strategies for selecting the right approach to deliver measurable impact.

  • Introduction
  • Why Azure AI matters
  • Connect business scenarios to Azure AI solutions
  • Choose the right AI model for your goals
  • Understand Azure AI subscription models
  • Module assessment
  • Summary


Transform your business with AI

Leverage AI tools and resources for your business

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.

  • Introduction
  • 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
  • Module assessment
  • Summary


Create business value with AI

Learn to turn AI experiments into dependable drivers of measurable business outcomes.

  • Introduction
  • Business strategy
  • Technology and data strategy
  • AI strategy and experience
  • Organization and culture
  • AI governance
  • Module assessment
  • Summarize AI drivers for business value


Embrace responsible AI principles and practices

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.

  • Introduction
  • 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
  • Module assessment
  • Summary


Scale AI in your organization

This module provides insights for a full adoption of AI in your organization. It covers AI strategy, assigning responsibilities, and empowering business users and subject matter experts so they can use AI themselves.

  • Introduction
  • Unlock AI value
  • Organize for AI success
  • Empower business users with AI
  • Empower subject matter experts with AI
  • Module assessment
  • Summary