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AB-100: Architecting Agentic AI Business Solutions

The flagship interactive course — Microsoft AB-100 certification prep with chapter-by-chapter web experience, audio narration, and a 50-question mock exam.

~20 hours·13 chapters·Technical practitioner · Director·Free

Last updated: 2026-05-19

What you'll learn

By the end of this course you'll be able to:

  • Analyze business requirements and ground AI solutions in real data architecture
  • Develop an AI strategy aligned with the Cloud Adoption Framework
  • Design responsible AI solutions across Copilot Studio and Azure AI Foundry
  • Orchestrate prebuilt agents across Dynamics 365 and the broader Microsoft stack
  • Apply ALM, testing, monitoring, and governance to production AI systems
  • Pass the AB-100 exam — 50 questions, 120 minutes, 700/1000 to pass

Who this is for

AI Solution Architects, senior engineers, Microsoft partners, and Microsoft Certified Trainer candidates preparing for the AB-100 exam. Especially valuable for practitioners building agentic AI solutions on the Microsoft stack — Copilot Studio, Azure AI Foundry, Dynamics 365.

Curriculum

13 chapters · 2 hands-on exercises · capstone challenge

Each chapter ends with the learning objectives ticked off. Quizzes are auto-graded with feedback; exercises are open-ended and produce artifacts you can take to your team.

1

1. Introduction to Agentic AI

90 min
  • Define the AI Solution Architect role and its scope
  • Map the agentic AI solution landscape across the Microsoft platform
2

2. Analyze Business Requirements

100 minQUIZ
  • Translate business needs into AI specifications
  • Apply grounding and data architecture patterns to scope solutions
3

3. Develop AI Strategy

120 minQUIZ
  • Apply the Cloud Adoption Framework to AI strategy decisions
  • Choose between agent types and solution design rules
4

4. Return on AI Investment

100 minEXERCISE
  • Model TCO across model router and inference patterns
  • Construct a defensible ROI case for AI initiatives
5

5. Design AI Solutions

120 minQUIZ
  • Apply Responsible AI principles across Copilot Studio and Azure AI Foundry
  • Select solution design patterns appropriate to use case requirements
6

6. Design Extensibility

100 min
  • Extend agent capabilities with connectors, plugins, and MCP
  • Apply Computer Use patterns where appropriate
7

7. Orchestrate Prebuilt Agents

110 minEXERCISE
  • Map Dynamics 365 prebuilt agent capabilities to business needs
  • Orchestrate multiple prebuilt agents across solution boundaries
8

8. Analyze, Monitor, Tune

110 min
  • Design telemetry and feedback loops for AI solutions
  • Continuously improve solutions through evaluation and tuning
9

9. Manage Testing

100 minQUIZ
  • Apply prompt validation and multi-app E2E testing
  • Build a quality assurance plan for agentic systems
10

10. ALM for AI Solutions

110 min
  • Apply application lifecycle management across environments
  • Manage data ALM and custom model ALM at scale
11

11. RAI, Security & Governance

120 minQUIZ
  • Implement Responsible AI controls across the lifecycle
  • Apply security patterns and govern risk and compliance
12

12. Final Revision

80 min
  • Synthesize cross-cutting frameworks for the exam
  • Recognize common pitfalls and exam-day patterns

Capstone: Capstone: AB-100 Mock Exam

120 min
  • Sit a full 50-question mock exam matching the real format
  • Identify weak areas and revise targeted topics before the real exam

Capstone deliverable: Every learner who completes this course produces «AB-100 Mock Exam — 50 questions, 120 minutes, 700/1000 to pass» — a tangible artifact you take back to your organization.

Interactive Course · Free

Full web-rendered experience available now.

All 13 chapters live with interactive slides, audio narration, mock-exam practice, and cross-device progress tracking. The first two chapters are accessible without an account.

Take the interactive course

References & sources

Built on cited sources — not vibes.

Every course is researched fresh against vendor documentation, regulatory sources, and peer-reviewed work. Sources used in this course:

AB-100: Architecting Agentic AI Business Solutions (exam page)

Microsoft Learn · Source link

Microsoft Copilot Studio Documentation

Microsoft Learn · Source link

Azure AI Foundry Documentation

Microsoft Learn · Source link

Microsoft Cloud Adoption Framework

Microsoft Learn · Source link

Responsible AI at Microsoft

Microsoft · Source link

Course details

Track

Builder

Level

Advanced

Audience

Technical practitioner, Director

Function

IT & Engineering, Strategy

Industry

Cross-Industry

Stack

Microsoft

Paired Gennoor Way phase

train, build

Format

interactive, reading, video