AI-3017: AI for business leaders

AI-3017: Microsoft AI for Business Leaders provides a comprehensive understanding of how to leverage AI tools and strategies to create business value. The course covers developing an AI strategy, scaling AI projects, and using no-code AI tools to drive business outcomes. This training is designed to help business leaders plan AI project investments, foster an AI-ready culture, and embrace responsible AI practices for long-term success.

Target Audience

• Chief Executives

• Project Manager

• IT Manager

• Business Managers

Prerequisites

Required:

• Basic understanding of IT concepts.

• Basic understanding of business concepts.

Course Objectives

• Leverage AI tools and resources for your business

• Create business value from AI

• Embrace responsible AI principles and practices

• Scale AI in your organization

Course Outline

1) Discover Microsoft AI for leaders in healthcare

• Leverage AI tools and resources for your business

  • Understand basic AI terminology and concepts

  • Articulate Microsoft’s approach to AI

  • Identify scenarios in which copilots can benefit an organization

  • Identify scenarios in which Power Platform can be used to integrate AI into business processes

  • Identify scenarios where AI Services can be used to build custom AI solutions

  • Identify scenarios where Azure Machine Learning enables organizations to train and manage AI models

• Create business value from AI

  • Identify considerations for defining an AI strategy

  • Describe key characteristic of an AI-ready organizational culture

  • Identify drivers of AI success

  • Understand the stages of AI value creation

• Embrace responsible AI principles and practices

  • Prepare for the implications of responsible AI

  • Describe principles of responsible AI

  • Establish a system for AI governance

  • Take actions for AI governance

  • Engage across teams and organizations to implement responsible AI principles

  • Take inspiration from how responsible AI is approached at Microsoft

• Scale AI in your organization

  • Plan and prioritize AI projects and investments

  • Establish organizational roles and responsibilities for AI

  • Use AI to empower business users across the enterprise

  • Enable domain experts in your business to expand their impact through AI

• Define a Microsoft AI strategy to create business value in healthcare

  • Describe goals and challenges in life sciences, pharmacology, and healthcare

  • Identify opportunities for AI in life sciences, pharmacology, and healthcare

  • Describe common use cases in life sciences, pharmacology, and healthcare

  • Explore how Microsoft AI technologies can help health providers

2) Discover Microsoft AI for leaders in finance

• Leverage AI tools and resources for your business

  • Understand basic AI terminology and concepts

  • Articulate Microsoft’s approach to AI

  • Identify scenarios in which copilots can benefit an organization

  • Identify scenarios in which Power Platform can be used to integrate AI into business processes

  • Identify scenarios where AI Services can be used to build custom AI solutions

  • Identify scenarios where Azure Machine Learning enables organizations to train and manage AI models

• Create business value from AI

  • Identify considerations for defining an AI strategy

  • Describe key characteristic of an AI-ready organizational culture

  • Identify drivers of AI success

  • Understand the stages of AI value creation

• Scale AI in your organization

  • Plan and prioritize AI projects and investments

  • Establish organizational roles and responsibilities for AI

  • Use AI to empower business users across the enterprise

  • Enable domain experts in your business to expand their impact through AI

• Define a Microsoft AI strategy to create business value in finance

  • Identify AI use cases in finance

  • Examine available AI tools and resources for finance scenarios

  • Discover insights from finance-specific AI success stories

3) Discover Microsoft AI for leaders in sustainability

• Leverage AI tools and resources for your business

  • Understand basic AI terminology and concepts

  • Articulate Microsoft’s approach to AI

  • Identify scenarios in which copilots can benefit an organization

  • Identify scenarios in which Power Platform can be used to integrate AI into business processes

  • Identify scenarios where AI Services can be used to build custom AI solutions

  • Identify scenarios where Azure Machine Learning enables organizations to train and manage AI models

• Create business value from AI

  • Identify considerations for defining an AI strategy

  • Describe key characteristic of an AI-ready organizational culture

  • Identify drivers of AI success

  • Understand the stages of AI value creation

• Embrace responsible AI principles and practices

  • Prepare for the implications of responsible AI

  • Describe principles of responsible AI

  • Establish a system for AI governance

  • Take actions for AI governance

  • Engage across teams and organizations to implement responsible AI principles

  • Take inspiration from how responsible AI is approached at Microsoft

• Scale AI in your organization

  • Plan and prioritize AI projects and investments

  • Establish organizational roles and responsibilities for AI

  • Use AI to empower business users across the enterprise

  • Enable domain experts in your business to expand their impact through AI

• Define a Microsoft AI strategy to create business value in sustainability

  • Identify goals and challenges for sustainability

  • Identify opportunities for AI in sustainability

4) Discover Microsoft AI for leaders in retail

• Leverage AI tools and resources for your business

  • Understand basic AI terminology and concepts

  • Articulate Microsoft’s approach to AI

  • Identify scenarios in which copilots can benefit an organization

  • Identify scenarios in which Power Platform can be used to integrate AI into business processes

  • Identify scenarios where AI Services can be used to build custom AI solutions

  • Identify scenarios where Azure Machine Learning enables organizations to train and manage AI models

• Create business value from AI

  • Identify considerations for defining an AI strategy

  • Describe key characteristic of an AI-ready organizational culture

  • Identify drivers of AI success

  • Understand the stages of AI value creation

• Embrace responsible AI principles and practices

  • Prepare for the implications of responsible AI

  • Describe principles of responsible AI

  • Establish a system for AI governance

  • Take actions for AI governance

  • Engage across teams and organizations to implement responsible AI principles

  • Take inspiration from how responsible AI is approached at Microsoft

• Scale AI in your organization

  • Plan and prioritize AI projects and investments

  • Establish organizational roles and responsibilities for AI

  • Use AI to empower business users across the enterprise

  • Enable domain experts in your business to expand their impact through AI

• Define a Microsoft AI strategy to create business value in retail

  • Identify goals and challenges for sustainability

  • Identify opportunities for AI in sustainability

5) Discover Microsoft AI for leaders in manufacturing

• Leverage AI tools and resources for your business

  • Understand basic AI terminology and concepts

  • Articulate Microsoft’s approach to AI

  • Identify scenarios in which copilots can benefit an organization

  • Identify scenarios in which Power Platform can be used to integrate AI into business processes

  • Identify scenarios where AI Services can be used to build custom AI solutions

  • Identify scenarios where Azure Machine Learning enables organizations to train and manage AI models

• Create business value from AI

  • Identify considerations for defining an AI strategy

  • Describe key characteristic of an AI-ready organizational culture

  • Identify drivers of AI success

  • Understand the stages of AI value creation

• Embrace responsible AI principles and practices

  • Prepare for the implications of responsible AI

  • Describe principles of responsible AI

  • Establish a system for AI governance

  • Take actions for AI governance

  • Engage across teams and organizations to implement responsible AI principles

  • Take inspiration from how responsible AI is approached at Microsoft

• Scale AI in your organization

  • Plan and prioritize AI projects and investments

  • Establish organizational roles and responsibilities for AI

  • Use AI to empower business users across the enterprise

  • Enable domain experts in your business to expand their impact through AI

• Discover Microsoft AI for leaders in manufacturing

  • Describe common goals and challenges in manufacturing

  • Identify AI use cases for manufacturing organizations

  • Identify Microsoft AI technologies that can support manufacturing use cases

6) Define a Microsoft AI strategy to create business value in nonprofit

• Leverage AI tools and resources for your business

  • Understand basic AI terminology and concepts

  • Articulate Microsoft’s approach to AI

  • Identify scenarios in which copilots can benefit an organization

  • Identify scenarios in which Power Platform can be used to integrate AI into business processes

  • Identify scenarios where AI Services can be used to build custom AI solutions

  • Identify scenarios where Azure Machine Learning enables organizations to train and manage AI models

• Create business value from AI

  • Identify considerations for defining an AI strategy

  • Describe key characteristic of an AI-ready organizational culture

  • Identify drivers of AI success

  • Understand the stages of AI value creation

• Embrace responsible AI principles and practices

  • Prepare for the implications of responsible AI

  • Describe principles of responsible AI

  • Establish a system for AI governance

  • Take actions for AI governance

  • Engage across teams and organizations to implement responsible AI principles

  • Take inspiration from how responsible AI is approached at Microsoft

• Scale AI in your organization

  • Plan and prioritize AI projects and investments

  • Establish organizational roles and responsibilities for AI

  • Use AI to empower business users across the enterprise

  • Enable domain experts in your business to expand their impact through AI

• Discover AI for leaders in nonprofit

  • Describe common goals and challenges for nonprofit organizations

  • Identify AI use cases for nonprofit organizations

  • Identify Microsoft AI technologies that can support nonprofit use cases