- Module 1: Learn the primary concepts and technologies of AI, and how Microsoft is turning the latest AI into tools, products, and services that organizations can use.
In this module, you will:
- Get familiar with available AI tools and approaches.
- Understand basic AI terminology and practices.
- Identify AI use cases.
- Module 2: Understand the key elements that make a culture AI-ready and a framework to drive the change needed in your organization for a successful AI strategy.
In this module, you will:
- Articulate the components of an AI strategy.
- Describe the key elements of an AI-ready organizational culture.
- Understand the stages to AI success.
- Module 3: Explore six principles to guide AI development and use - fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
In this module, you will:
- Describe the importance of engaging with AI in a responsible manner.
- Identify six guiding principles to develop and use AI responsibly.
- Describe successful practices to responsible AI governance.
- Module 4: Learn enterprise AI management with our free open online course, including scaling AI.
In this module, you will:
- Plan AI projects and investments.
- Organize your staff for AI responsibilities.
- Identify how no-code AI tools can help business users and subject matter experts.
- Module 5: Discover AI use cases and scenarios for healthcare. Get familiar with Microsoft AI tools and services for healthcare. Learn from real success stories.
- Identify AI use cases in healthcare.
- Examine available AI tools and resources for healthcare scenarios.
- Discover insights from healthcare-specific AI success stories.
Discover Microsoft AI for leaders in healthcare
Overview
Syllabus
- Module 1: Module 1: Leverage AI tools and resources for your business
- Introduction
- Identify basic AI technology concepts
- Learn the Microsoft AI approach
- Use AI embedded in everyday applications
- Discover how Microsoft Power Platform brings AI to your business
- Understand the machine learning lifecycle
- Discover the business value of applying DevOps practices to machine learning
- Explore the potential of Azure AI Services
- Discover the business value of Azure Open AI Service
- Knowledge check
- Summary
- Module 2: Module 2: Create business value from AI
- Introduction
- Define an AI strategy to create business value
- Discover the characteristics that foster an AI-ready culture
- Discover the path to AI success
- Knowledge check
- Summary
- Module 3: Module 3: Embrace responsible AI principles and practices
- Introduction
- Prepare for the implications of responsible AI
- Identify guiding principles for responsible AI
- Design a system for AI governance
- Applying systems for AI governance
- Discuss practices for responsible AI at Microsoft
- Put responsible AI frameworks in action
- Knowledge check
- Summary
- Module 4: Module 4: Scale AI in your organization
- Introduction
- Evaluate and prioritize AI investments
- Establish AI-related roles and responsibilities
- Empower business users with AI
- Empower subject matter experts with AI
- Knowledge check
- Summary
- Module 5: Module 5: Define a Microsoft AI strategy to create business value in healthcare
- Introduction
- Explore AI goals and challenges in healthcare
- Identify Microsoft AI use cases in the life sciences and pharmaceutical healthcare sector
- Identify Microsoft AI use cases for health providers
- Discover the potential of Microsoft AI to improve patient recovery – A Zimmer Biomet success story
- Knowledge check
- Summary
