AB-100: Microsoft Agentic AI Business Solutions Architect

The AB-100: Microsoft Certified: Agentic AI Business Solutions Architect course is your gateway to mastering enterprise-grade agentic AI on the Microsoft ecosystem. Designed for experienced architects, senior consultants, and technical leaders, this comprehensive training prepares you to envision, design, deploy, govern, and scale AI-powered business solutions that transform operations through autonomous, reasoning, and collaborative agents.In this course, you'll dive deep into the core pillars of agentic AI architecture. Learn to assess business needs, evaluate data readiness for grounding, define high-impact use cases, and calculate ROI—including total cost of ownership—while aligning initiatives with Microsoft's Cloud Adoption Framework and responsible AI principles. You'll explore when to extend Microsoft 365 Copilot, build custom agents in Copilot Studio, or leverage advanced tools like Microsoft Foundry for complex multi-agent orchestration.Hands-on modules cover designing intelligent systems: crafting prompt engineering strategies, implementing chain-of-thought and few-shot techniques, grounding agents with knowledge sources and connectors, configuring agent behaviors (task, autonomous, prompt-response), and integrating across Power Platform, Dynamics 365 (Sales, Service, Finance, Supply Chain), and Azure AI services. You'll master model routing, custom model fine-tuning, fallback mechanisms, and dynamic content generation for real-world workflows.Deployment and operations take center stage as you build production-ready solutions: create end-to-end agent flows, apply ALM pipelines with versioning and CI/CD, conduct rigorous testing (precision/recall, prompt validation, E2E scenarios), monitor performance via Azure Monitor and telemetry, and tune models through feedback loops. Security, governance, and compliance are emphasized—covering prompt injection defenses, role-based access, encryption, data residency, audit trails, fairness checks, and adhere