AB-100: Architecting Agentic AI Business Solutions
Self-paced course for the Microsoft AB-100 certification. Master agentic AI architecture with Copilot Studio, Azure AI Foundry, and Dynamics 365.
13
Chapters
~20 hours
Duration
Advanced
Level
Microsoft AB-100
Certification
How this course works
- 12 audio-narrated slide chapters · ~20 hours of focused content
- Trust trip-wires on every play — what not to cross
- Free verifiable certificate on completion
What you'll walk out with
Specific outcomes from this course — no fluff.
- Master the Microsoft AB-100 exam objectives — agentic AI architecture, Copilot Studio, Azure AI Foundry, Dynamics 365 integration
- Analyse business requirements and translate them into agentic AI solution designs — the architect's decision framework
- Develop AI strategy with executive sponsors — capability mapping, capacity planning, capital allocation
- Design solutions with the right pattern — topic vs generative, plugin vs agent, when to extend vs orchestrate
- Orchestrate prebuilt agents (Sales, Service, Finance) and custom agents in one coherent business workflow
- Manage governance at scale — environment strategy, ALM pipelines, monitoring signals, quality gates
- Sit a 50-question mock exam that mirrors the real AB-100 format and difficulty
Course content
13 chapters · ~20 hours
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
Want this delivered inside your organisation?
The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.