Architecting agentic AI business solutions (AB-100)

This course is intended for experienced technology professionals who are responsible for planning, designing, and guiding AI-powered business solutions using Microsoft platforms. This course assumes familiarity with Microsoft business applications, cloud concepts, and solution architecture fundamentals. It is best suited for learners who want to deepen their architectural judgment, design decision-making, and enterprise readiness for agentic AI solutions rather than those seeking step-by-step configuration guidance or exam preparation. Important Note: While this course aligns conceptually with many of the AB 100 exam skill areas, it is not a test-preparation course and does not focus on test-taking strategies. Instead, it provides the architectural foundations, enterprise context, and design reasoning that make AB 100 learning meaningful and applicable. For many learners, this course serves as a recommended preparatory step before beginning focused AB 100 exam study.

Architect AI solutions for business productivity

Module 1 : Introduction to agentic AI business solutions

• Drive AI transformation with architect strategies
• Explore Microsoft AI technologies for business
• Identify Microsoft AI technologies for business solutions
• Identify out-of-box Microsoft AI agent resources for business solutions
• Identify out-of-box Microsoft AI agents for business

Module 2:Analyze requirements for AI-powered business solutions

• Assess the use of agents in task automation, data analytics, and decision-making
• Review data for grounding accuracy, relevance, timeliness, cleanliness, and availability
• Organize business solution data for AI systems

Module 3: Evaluate costs and benefits of AI solutions

• Evaluate ROI criteria for AI-powered solutions
• Create ROI analysis for a proposed AI solution
• Analyze whether to build, buy, or extend AI components
• Implement a model router to intelligently route requests to the most suitable model

Module 4: Manage testing AI-powered business solutions

• Recommend process metrics for testing AI agents
• Create validation criteria for custom AI models
• Validate effective Copilot prompt best practices
• Design end-to-end test scenarios for AI solutions using multiple Dynamics 365 apps
• Build a strategy for creating test cases using Copilot

Module 5: Design extensibility of AI solutions

• Design AI solutions with custom models in Microsoft Foundry
• Design agents in Microsoft 365 Copilot
• Design extensible agents in Microsoft Copilot Studio
• Design extensible agents using MCP in Copilot Studio
• Design agents to automate tasks in apps and websites with Computer Use in Copilot Studio
• Design agent behaviors in Copilot Studio
• Optimize solution design for agents in Microsoft 365

Module 6: Design responsible AI security, governance, risk management, and compliance

• Design security agents for Microsoft clouds
• Design governance models for AI agents
• Design model security for responsible AI
• Analyze AI vulnerabilities and mitigations for prompt manipulation
• Review solution adherence to Responsible AI principles
• Validate data residency and movement compliance
• Design access controls for grounding data and model tuning
• Design audit trails for changes to models and data

This course is suitable for:

• Solution Architects and Enterprise Architects designing intelligent and agent-based business solutions
• Senior Functional and Technical Consultants working with Dynamics 365, Microsoft 365, Power Platform, or Azure AI services
• AI and Digital Transformation Leads defining AI strategy, governance, and adoption across the organization
• Application Architects and Technical Leads integrating agents, copilots, and generative AI into enterprise workloads
• Experienced practitioners preparing to advance toward formal AI solution validation, seeking architectural depth rather than exam-focused instruction