AB-100: Architecting agentic AI business solutions
Designing AI-powered business solutions is no longer optional for organizations moving toward agentic-first operations. This course prepares solution architects to plan, design, and deploy AI and agent-based solutions across Dynamics 365, Microsoft Power Platform, Copilot Studio, and Microsoft Foundry. You will work through real architectural scenarios covering multi-agent orchestration, custom AI models, and enterprise-grade governance, all built around practical, case-based learning you can start whenever it fits your schedule. The course goes beyond theory: you will learn how to evaluate ROI, apply responsible AI principles, secure agent architectures, and build ALM strategies for AI components. Structured around the three core competency areas of planning, designing, and deploying AI-powered solutions, this self-paced course lets you progress at your own rhythm while staying supported throughout. Whether you are preparing for certification or leading AI transformation initiatives in your organization, this booster gives you the architectural depth and practical grounding to make confident, defensible decisions. Our team of instructors provides real-time support along the way, so you are never learning in isolation.
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Who is this course for?
This course is designed for solution architects and senior consultants responsible for designing and governing AI-powered business solutions across Dynamics 365 and the Power Platform. A working knowledge of Microsoft's AI and business application ecosystem is assumed, no introductory AI concepts are covered.
What will you learn?
Planning AI-powered solutions
This section covers how to assess business requirements for agent-based automation and analytics, how to shape an AI strategy aligned with the Cloud Adoption Framework, and how to weigh the cost and value of building versus buying AI components.
Designing agents and intelligent architecture
Here you explore how to design task, autonomous, and prompt and response agents, how to structure topics and prompt actions in Copilot Studio, and how to apply the Power Platform Well-Architected Framework to intelligent workloads.
Extensibility and integration
This section looks at extending AI solutions through Microsoft Foundry custom models, Model Context Protocol integrations, and agent extensibility across Microsoft 365, Teams, and SharePoint.
Orchestrating prebuilt agents and apps
You will see how to configure and orchestrate AI features across Dynamics 365 finance, supply chain, and customer experience apps, and how to connect additional knowledge sources to in-app guidance and agent chats.
Testing, monitoring, and ALM
This part covers how to design test scenarios and validation criteria for AI solutions, how to monitor agent performance through telemetry, and how to build a sound ALM process for agents, connectors, and custom models.
Responsible AI, security, and governance
The final section addresses how to design security and governance for agents and models, how to identify and mitigate vulnerabilities such as prompt manipulation, and how to validate compliance with data residency and audit requirements.