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Course Overview
In this course, business leaders find the knowledge and resources to adopt AI in their organizations. It explores planning, strategizing, and scaling AI projects in a responsible way. This course helps professionals adopt Microsoft AI solutions for their industries, and identifies AI use cases, tools, and insights from industry-specific AI success stories such as healthcare, finance, sustainability, retail, and manufacturing.
Who Should Attend
Microsoft AI for business leaders is designed to help business leaders find the knowledge and resources to adopt AI in their organizations. This training explores planning, strategizing, and scaling AI projects in a responsible way, focusing on use cases, tools, and insights from industry-specific AI success stories such as healthcare, finance, sustainability, retail, and manufacturing.
This course has been developed in a way where instructors can choose which specific industry or industries they want to include as part of the final section, curating each delivery to the specific audience.
Course Outline
1 - Leverage AI tools and resources for your business
- What is AI?
- Foundations of AI
- Learn the Microsoft AI approach
- Use AI embedded in everyday copilot applications
- Use Microsoft Power Platform to bring AI to your business
- Develop AI solutions with Azure AI Services
- Create custom AI models with Azure Machine Learning
- Module assessment
2 - Create business value from AI
- Create business value with an AI strategy
- Discover the characteristics that foster an AI-ready culture
- Discover the path to AI success
- Module assessment
3 - Embrace responsible AI principles and practices
- Prepare for the implications of responsible AI
- Identify guiding principles for responsible AI
- Design a system for AI governance
- Applying systems for AI governance
- Responsible AI at Microsoft
- Put responsible AI frameworks in action
- Module assessment
4 - Scale AI in your organization
- Evaluate and prioritize AI investments
- Apply a horizon-based framework
- Establish AI-related roles and responsibilities
- Empower business users with AI
- Empower subject matter experts with AI
- Module assessment
5 - Define a Microsoft AI strategy to create business value in healthcare
- AI in life sciences, pharmacology, and healthcare
- Goals and challenges in life sciences, pharmacology, and healthcare
- Opportunities for AI in life sciences, pharmacology, and healthcare
- Microsoft AI for health providers
- Discover the potential of Microsoft AI to improve patient recovery
- Module assessment
6 - Leverage AI tools and resources for your business
- What is AI?
- Foundations of AI
- Learn the Microsoft AI approach
- Use AI embedded in everyday copilot applications
- Use Microsoft Power Platform to bring AI to your business
- Develop AI solutions with Azure AI Services
- Create custom AI models with Azure Machine Learning
- Module assessment
7 - Create business value from AI
- Create business value with an AI strategy
- Discover the characteristics that foster an AI-ready culture
- Discover the path to AI success
- Module assessment
8 - Embrace responsible AI principles and practices
- Prepare for the implications of responsible AI
- Identify guiding principles for responsible AI
- Design a system for AI governance
- Applying systems for AI governance
- Responsible AI at Microsoft
- Put responsible AI frameworks in action
- Module assessment
9 - Scale AI in your organization
- Evaluate and prioritize AI investments
- Apply a horizon-based framework
- Establish AI-related roles and responsibilities
- Empower business users with AI
- Empower subject matter experts with AI
- Module assessment
10 - Define a Microsoft AI strategy to create business value in finance
- AI in financial services
- Goals and challenges in financial services
- Opportunities for AI in financial services organizations
- Discover how Microsoft AI secures transactions in banking – A Swift success story
- Discover the potential of Microsoft AI Services in insurance – A Manulife success story
- Module assessment