A comprehensive study guide and learning repository for the Microsoft AB-100 certification exam.
| Detail | Information |
|---|---|
| Exam Code | AB-100 |
| Title | Agentic AI Business Solutions Architect |
| Focus | AI-driven business solutions using Microsoft technologies |
| Target Audience | Solution architects with AI expertise |
| Domain | Weight |
|---|---|
| Plan AI-powered business solutions | 25-30% |
| Design AI-powered business solutions | 25-30% |
| Deploy AI-powered business solutions | 40-45% |
ab100/
├── course/ # O'Reilly Live Training materials
│ ├── COURSE_PLAN.md # Complete 4-segment course plan
│ ├── demos/ # Live demonstration scripts
│ ├── exercises/ # Hands-on practice exercises
│ └── slides/ # Slide deck outlines
├── 01-plan-ai-solutions/ # Planning domain (25-30%)
│ ├── README.md # Domain overview
│ ├── analyze-requirements.md # Requirements analysis
│ ├── ai-strategy.md # AI strategy design
│ └── roi-analysis.md # Cost-benefit analysis
├── 02-design-ai-solutions/ # Design domain (25-30%)
│ ├── README.md # Domain overview
│ ├── agents-design.md # Agent design patterns
│ ├── extensibility.md # AI solution extensibility
│ └── orchestration.md # Configuration orchestration
├── 03-deploy-ai-solutions/ # Deploy domain (40-45%)
│ ├── README.md # Domain overview
│ ├── monitoring.md # Analysis and monitoring
│ ├── testing.md # Testing strategies
│ ├── alm-process.md # ALM for AI solutions
│ └── security-governance.md # Security and compliance
├── resources/
│ ├── links.md # Official documentation links (400+)
│ ├── cheat-sheet.md # Quick reference guide
│ └── glossary.md # Key terms and definitions
└── practice/
└── scenarios.md # Practice scenarios
This repository serves as the companion materials for the Agentic AI Business Solutions Architect O'Reilly Live Training course.
Course Duration: 4 hours (four 50-minute segments)
| Segment | Topic | Materials |
|---|---|---|
| 1 | Planning AI Solutions | Demos • Exercises |
| 2 | Designing AI Solutions | Demos • Exercises |
| 3 | Deploying AI Solutions | Demos • Exercises |
| 4 | Security & Exam Mastery | Demos • Exercises |
See the Course Plan for full details.
As a candidate for this exam, you should have expertise in:
- AI Architecture: Designing solutions using AI, generative AI, and various AI services
- Agentic Solutions: Building agentic-first and multi-agent orchestrated solutions
- Microsoft Stack: Dynamics 365, Power Platform, Copilot Studio, Azure AI services, Azure OpenAI
- Protocols: Agent2Agent (A2A) and Model Context Protocol (MCP)
- Responsible AI: Compliance and Microsoft responsible AI guidelines
- Security: Securing AI models, data workflows, and defending against prompt manipulation
- Microsoft 365 Copilot - Enterprise AI assistant
- Copilot Studio - Custom agent development
- Azure AI Foundry - AI model development and deployment
- Azure AI Services - Cognitive services and APIs
- Azure OpenAI - GPT models and embeddings
- Dynamics 365 Sales - CRM and sales automation
- Dynamics 365 Customer Service - Service management
- Dynamics 365 Finance - Financial operations
- Dynamics 365 Supply Chain Management - Operations management
- Power Platform - Low-code development
- Start with Planning (25-30%) - Understand requirements and strategy
- Move to Design (25-30%) - Learn architecture patterns
- Focus on Deployment (40-45%) - Master implementation and operations
- Azure AI Foundry Documentation
- Azure AI Services
- Copilot Studio Documentation
- Power Platform Documentation
- Dynamics 365 Documentation
- Review each domain folder in order (01, 02, 03)
- Study the concept guides within each domain
- Reference the cheat sheet for quick reviews
- Practice with scenarios to test your knowledge
- Use the glossary for unfamiliar terms
Feel free to submit issues or pull requests to improve this study guide.
This is an unofficial study guide. Always refer to the official Microsoft exam page for the most current information.
See LICENSE for details.
