AB-100: Architecting Agentic AI Business Solutions
A comprehensive 13-chapter course covering everything you need to architect agentic AI business solutions — from analyzing business requirements and developing AI strategy to designing solutions, orchestrating prebuilt agents, and managing governance. Includes a 50-question mock exam matching the real AB-100 format.
13
Chapters
~20 hours
Duration
Advanced
Level
Microsoft AB-100
Certification
Course Content
Course Introduction
How the course runs, what to expect, and how to get the most out of it
Introduction to Agentic AI
The architect role, agentic AI fundamentals, and the solution landscape
Analyze Business Requirements
Grounding, data architecture, and translating business needs into AI specs
Develop AI Strategy
Cloud Adoption Framework, agent types, and solution design rules
Return on AI Investment
TCO analysis, model router patterns, and ROI modeling
Design AI Solutions
Responsible AI, Copilot Studio, Azure AI Foundry, and solution design patterns
Design Extensibility
Connectors, plugins, MCP, Computer Use, and extending agent capabilities
Orchestrate Prebuilt Agents
Dynamics 365 capability map and prebuilt agent orchestration
Analyze, Monitor, Tune
Telemetry, feedback loops, and continuous AI solution improvement
Manage Testing
Prompt validation, multi-app E2E testing, and quality assurance
ALM for AI Solutions
Application lifecycle management, data ALM, and custom model ALM
RAI, Security & Governance
Responsible AI, security patterns, governance, risk, and compliance
Final Revision
Cross-cutting frameworks, common pitfalls, and exam preparation