Architecting agentic AI business solutions is an advanced course for architects, senior consultants, and technical leaders responsible for planning, designing, and governing AI-powered enterprise solutions built on Microsoft platforms. This course serves as a foundational, real-world, and architectural preparation step that builds the design judgment, strategic reasoning, and end-to-end understanding learners need before pursuing the AB‑100 exam or implementing agentic AI solutions at scale. Learners will explore how to architect AI-powered business solutions that use agents, copilots, and generative AI to automate tasks, improve decision-making, and enhance employee and customer experiences. Emphasis is placed on architecture, trade-offs, governance, cost/benefit analysis, and lifecycle management, rather than step-by-step configuration. 

Audience Profile

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. The ideal audience includes:

• 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

Course Syllabus

Architect AI solutions for business productivity

Introduction to agentic AI business solutions

Learn to align AI solutions with business goals and scale AI adoption using Microsoft technologies.

• Introduction
• 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 assessment
• Summary

Analyze requirements for AI-powered business solutions

Learn to analyze, design, and implement AI-powered business solutions using agents, generative AI, and Microsoft Copilot for productivity.

• Introduction
• 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 assessment
• Summary

Manage testing AI-powered business solutions

Learn to validate and maintain AI-powered business solutions with structured testing frameworks, metrics, and governance.

• Introduction
• 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 assessment
• Summary