Agentic AI Business Solutions Architect (AB-100)
Become an AI-first Solutions Architect. Design, deploy, and secure multi-agent solutions using Microsoft Dynamics 365, Copilot Studio, and Azure AI to drive measurable business transformation.
Training at a glance
Level
Advanced
Duration
3 Days
Experience
1 year: MS Platform and AI Proficiency
Average Salary
$170,000
Labs
Yes
Level
Beginner
Duration
3 Days
Experience
0 year: Core Data Concepts
Average Salary
$82,640
Labs
Yes
Training Details
This course is designed to transition accomplished solution architects into AI-first leaders capable of designing and delivering agentic-first business solutions. With a focus on the full Microsoft AI ecosystem (Azure AI, Dynamics 365, Power Platform, and Copilot Studio), you will learn to envision, define, and secure architecture strategies that transform business processes. The course emphasizes scalability, security, responsible AI practices, and achieving measurable ROI for complex, multi-agent orchestrated solutions.
Module 1: Plan AI-Powered Business Solutions
- Analyze Requirements & Data
 - Design Overall AI Strategy & Architecture
 - Model Decision & Prompt Strategy
 - Evaluate Costs and Benefits (ROI)
 
Module 2: Design AI-Powered Business Solutions
- Design Core AI and Agent Flows
 - Design Extensibility and Orchestration
 - Orchestrate Configuration Across Applications
 
Module 3: Deploy AI-Powered Business Solutions
- Manage Testing and Validation
 - Design Application Lifecycle Management (ALM)
 - Analyze, Monitor, and Tune Solutions
 - Design Responsible AI, Security, and Governance
 
- Solutions Architect
 - Enterprise Architects
 - AI/ML Engineers
 - Senior Business Strategists
 
This certification targets accomplished architects and requires extensive prior knowledge such as:
- Architectural Experience (designing integrated, secure, and scalable enterprise solutions).
 - Microsoft Platform Knowledge (Dynamics 365, Power Platform, Azure AI/OpenAI).
 - AI/LLM Proficiency (Generative AI concepts, prompt engineering).
 - Security & Governance (data residency, responsible AI principles).
 
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