- Learn how to use AI tools and resources for your business.
After completing this module, you'll be able to:
- Prioritize AI use cases by value, feasibility, and time to value, and track results with clear Key Performance Indicators (KPIs).
- Unify data, modernize infrastructure, and adopt Azure services to run secure, compliant AI at scale.
- Put governance, security, and regulatory controls in place to manage risk and maintain trust.
- Enable people to use AI in daily work with Copilot, agents, and low code tools to boost productivity and streamline processes.
- Learn how to align AI to business strategy and ensure readiness using essential drivers for scalable, impactful, secure adoption.
After completing this module, you will be able to:
- Align AI strategies with business priorities to focus on high-impact areas.
- Design a scalable and secure foundation for AI deployment.
- Accelerate AI adoption through effective tools and methods.
- Develop governance strategies to manage risk responsibly.
- Integrate organization and culture changes for efficient AI implementation.
- 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:
Explain why responsible AI matters and identify its societal implications.
Apply Microsoft’s six guiding principles for responsible AI in your organization.
Design a governance system that turns principles into actionable policies and controls.
Take practical steps to implement responsible AI across teams and processes.
- Learn enterprise AI management with our free open online course, including scaling AI.
By the end of this module, you're able to:
- Explain the foundational concepts and business value of generative AI for organizations.
- Identify and evaluate Microsoft generative AI solutions—including Copilot, Azure AI, and agents—for common business scenarios.
- Assess key considerations for adopting generative AI, including model selection, cost drivers, and responsible use.
- Recognize challenges and opportunities in generative AI, such as reliability, bias, and strategic alignment.
- Discover AI use cases and scenarios for healthcare. Get familiar with Microsoft AI tools and services for healthcare. Learn from real success stories.
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
