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

Discover how to lead AI transformation across your organization. Identify high‑impact opportunities, align AI with business strategy, and adopt responsible AI practices to confidently deploy Copilot and Microsoft solutions.

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  • Duration: 1 day
  • Regular price: $795
  • Preferential price: $675tip icon

Course outline

Duration : 1 Day

© AFI Expertise inc.

In this course, learners will explore how to lead organization‑wide AI transformation. They will learn practical strategies to identify high‑impact opportunities, align investments with business goals, and promote responsible AI practices. The course emphasizes real‑world applications and strategic decision‑making—with no technical expertise required—making it an ideal training for senior leaders who want to confidently adopt and drive AI innovation.

Audience

This course is intended for business leaders directors, VPs, executives, and managers from marketing, sales, operations, human resources, finance, and corporate strategy.

It is also suitable for future leaders who want to understand how to adopt and scale AI responsibly.
Participants will gain practical knowledge and tools to plan, structure, and implement AI initiatives using Microsoft technologies.

Prerequisites

A general understanding of business context and basic IT concepts is recommended. Familiarity with Microsoft 365 and Azure AI can be helpful, but no technical expertise or programming skills are required.

Objectives

By the end of the course, learners will be able to:

  • Understand the fundamentals of generative AI and recognize high‑value business use cases and challenges.
  • Develop effective AI solutions, using prompt engineering, trusted data, and basic machine learning principles.
  • Leverage Microsoft Copilot to enhance business processes, customize solutions, and apply responsible AI practices.
  • Use Microsoft Foundry tools to align AI models with organizational goals and evaluate subscription options.
  • Apply AI tools and resources to support digital transformation and ensure secure, scalable AI foundations.
  • Define and execute an AI strategy, including business, data, technology, and governance components.
  • Promote responsible AI adoption, establishing governance frameworks and guiding principles.
  • Scale AI across the organization, enabling both business users and subject‑matter experts to adopt AI effectively.

Teaching method

Instructor‑Led Training

Contents

Understand the foundations of generative AI for leaders

  • What is generative AI?
  • Explore the business value of generative AI solutions
  • Understand generative AI models
  • Understand cost drivers
  • Identify challenges and opportunities
  • Module assessment

Build effective generative AI solutions

  • Understand prompt engineering
  • Ground AI in trusted data
  • Build trustworthy AI: data and security considerations
  • Understand the business value of machine learning
  • Module assessment

Drive business value with Microsoft Copilot

  • 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

Generate value with Microsoft Foundry

  • Why Microsoft Foundry matters
  • Connect business scenarios to Foundry solutions
  • Choose the Foundry model that fits your goals
  • Understand subscription models
  • Module assessment

Leverage AI tools and resources for your organization

  • Identify basic AI technology concepts
  • Understand the foundations of AI
  • Explore the Microsoft AI approach
  • Discover Copilot and agents in action
  • Drive transformation with Azure and AI platforms
  • Secure AI
  • Module assessment

Create business value with AI

  • Business strategy
  • Technology and data strategy
  • AI strategy and experience
  • Organization and culture
  • AI governance
  • Module assessment

Summarize business value drivers for AI

  • Adopt responsible AI principles
  • Prepare for responsible AI
  • Identify guiding principles
  • Design a governance framework
  • Apply governance frameworks
  • Responsible AI at Microsoft
  • Module assessment

Scale AI across the organization

  • Unlock AI value
  • Organize for AI success
  • Empower business users
  • Empower subject‑matter experts
  • Module assessment