- Explore what AI agents are, understand their core components, and discover a range of impactful use cases driving AI-powered transformation.
After completing this module, you should be able to:
Define AI agents
Explain the business value of AI agents.
Identify common use cases for AI agents.
Define the core components of AI agents.
- Explore the tools and services Microsoft provides across each area of agent development so you can select the options that fit your agent scenario and requirements.
After completing this module, you will be able to:
- Identify the appropriate agent development path for a given scenario
- Identify the publishing paths and channel options for delivering agents to users
- Match organizational data categories to the appropriate Microsoft IQ service
- Describe how agents connect to external systems and coordinate with other agents
- Identify the governance and identity services that support agents
- Plan a complete AI agent solution on Microsoft's agent platform — from defining outcomes and success metrics to mapping data sources and workflows, choosing interaction patterns and channels, and establishing an identity, governance, and responsible AI posture.
After completing this module, you will be able to:
- Plan business outcomes, requirements, and success metrics for an agent
- Plan an agent's data sources, workflows, and dependencies
- Plan an agent's interaction patterns and channels
- Plan an agent's identity, governance, security, and responsible AI posture
UC San Diego Product Management Certificate — AI-Powered PM Training
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Syllabus
- Introduction to developing AI agents
- Introduction
- AI transformation and agents
- AI agent use cases
- AI agent components
- Module assessment
- Summary
- Choose tools and services for your agent on Microsoft's agent platform
- Introduction
- Explore agent development approaches and tools
- Explore agent channels and publishing options
- Explore Microsoft IQ grounding services
- Explore agent integrations and multiagent solutions
- Explore governance and identity for agents
- Knowledge check
- Summary
- Plan an AI agent solution
- Introduction
- Plan outcomes and success metrics
- Plan data sources, workflow, and dependencies
- Plan interaction patterns and channels
- Plan identity, governance, security, and responsible AI
- Module assessment
- Summary