Agentic AI Business Solutions Architect Training (AB-100)

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Agentic AI Business Solutions Architect Training (AB-100)

Agentic AI Business Solutions Architect Training (AB-100)

The Agentic AI Business Solutions Architect Training (AB-100) course is designed for experienced solution architects and technology leaders who are responsible for planning, designing, and delivering AI-driven business solutions using Microsoft's agentic AI ecosystem. This course focuses on architecting agentic-first, scalable, and secure AI solutions that transform enterprise processes and enable innovation across the organisation.

   

Aligned with the AB-100: Agentic AI Business Solutions Architect certification exam, the course covers how to plan AI-powered business solutions, design multi-agent and orchestrated architectures, and deploy enterprise-grade AI systems using Microsoft Copilot Studio, Microsoft Foundry tools, Power Platform, and Dynamics 365. Participants will explore how generative and agentic AI can be integrated across platforms to address complex organisational challenges while meeting governance, security, and scalability requirements. By the end of this course Agentic AI Business Solutions Architect Training (AB-100), learners will be able to:

   
  • Design secure, scalable agentic AI architectures
  • Architect AI agents, models, prompts, and data pipelines
  • Apply responsible AI, security, and risk mitigation principles
  • Define complete ALM strategies for agentic AI solutions
  • Evaluate and validate agentic AI solutions

Advance Your Skills with Flexmind (Microsoft Partner)

Who should attend the AB-100: Architecting agentic AI business solutions Course?

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For Professionals

Architecting agentic AI business solutions is an advanced course for architects, senior consultants, and technical leaders

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For Businesses

This course is ideal for organizations looking to upskill employees with the knowledge required to architect agentic AI business solutions built on Microsoft platforms.

Prerequisites for the “AB-100: Agentic AI Business Solutions Architect” Certification Course

Prerequisites for the course may include:


  • Experience as a solution architect, consultant, or senior technical professional involved in designing enterprise solutions
  • Strong understanding of business processes and solution architecture, including translating business requirements into technical designs
  • Foundational knowledge of AI and generative AI concepts
  • Experience designing scalable, secure, and integrated solutions
  • Familiarity with governance, security, and compliance considerations in enterprise environments

Key Features of Flexmind AB-100: Agentic AI Business Solutions Architect Training

Flexmind provides this training in both online and offline modes in a comprehensive manner. It is designed in line with the latest exam requirements. The key features of this training are as follows:

3 days · 24 Hours
Microsoft Certified Trainer
Official Courseware

Course Duration

The course has a total duration of 24 hours and is completed over 3 days.

Instructor-Led Training

Flexmind delivers this course through a Microsoft Certified Trainer with proven experience in designing and building agentic AI solutions using Microsoft Copilot, Microsoft Foundry, and related technologies.

Microsoft Official Courseware

The program is delivered by Flexmind using Microsoft Courseware. You will work through study material, labs and applied workshops. The instructor guides you throughout the learning journey.

Cloud Lab Access

The course will be covered using cloud lab access.

Course Completion Certificate


A certification is awarded at the end of the course. This validates skills gained and adds credibility to your resume.

Course Outline

Module 1: Introduction to Agentic AI Business Solution Architecture

  • Introduction
  • Role of the Architect in AI Transformation for Businesses
  • Overview of Microsoft AI Technologies
  • Identify Out-of-the-Box (OOB) Microsoft AI Agent Resources
  • Identify Out-of-the-Box (OOB) Microsoft AI Agents

Module 2: Analyze requirements for AI-powered business solutions

  • Introduction
  • Assess the Use of Agents in Task Automation, Data Analytics, and Decision-Making
  • Review Data for Grounding (Accuracy, Relevance, Timeliness, Cleanliness, Availability)
  • Organize Business Solution Data to Be Available for Other AI Systems

Module 3: Design overall AI strategy for business solutions

  • Introduction
  • Implement the AI Adoption Process from the Cloud Adoption Framework for Azure
  • Design the Strategy for Building AI Agents in Business Solutions
  • Design a Multi-Agent Solution
  • Develop the Use Cases for Prebuilt Agents in the Solution
  • Define the Solution Rules and Constraints When Building AI Components
  • Determine the Use of Generative AI and Knowledge Sources in Agents Built with Copilot Studio
  • Determine When to Build Custom Agents or Extend Microsoft 365 Copilot
  • Determine When Custom AI Models Should Be Created
  • Provide Guidelines for Creating a Prompt Library
  • Develop the Use Cases for Customized Small Language Models
  • Prompt Engineering for AI-Powered Business Solutions
  • Identify Key Business User Roles for AI Workloads
  • Evaluate Regional and Local AI and Data Regulation and Compliance Requirements
  • Design AI Solutions Using Multiple Dynamics 365 Apps

Module 4: Evaluate the costs and benefits of an AI-powered business solution

  • Introduction
  • Select ROI Criteria for AI-Powered Business Solutions Including Total Cost of Ownership (TCO)
  • Create an ROI Analysis for the Proposed AI Solution for a Business Process
  • Analyze Whether to Build, Buy, or Extend AI Components for Business Solutions

Module 5: Design AI and agents for business solutions

  • Introduction
  • Define the Core Tenets of Microsoft’s Responsible AI Guidelines for AI Business Solutions
  • Design Business Terms for Copilot in Dynamics 365 Apps for Customer Experience and Service
  • Design Customizations of Copilot in Dynamics 365 Apps for Customer Experience and Service
  • Design Connectors for Copilot in Dynamics 365 Sales
  • Design Agents for Integration With Dynamics 365 Contact Center Channels
  • Design Task Agents
  • Design Autonomous Agents
  • Design Prompt and Response Agents
  • Propose Foundry Tools for a Given Requirement
  • Propose Code First Generative Pages and the Use of an Agent Feed for Apps
  • Design Topics for Copilot Studio, Including Fallback
  • Design Data Processing for AI Models and Grounding
  • Design a Business Process to Include AI Components in a Power Apps Canvas App
  • Apply the Microsoft Power Platform Well-Architected Framework to Intelligent Application Workloads
  • Determine When to Use Standard Natural Language Processing, Azure Conversational Language Understanding, or Generative AI Orchestration in Copilot Studio
  • Design Agents and Agent Flows with Copilot Studio
  • Design Prompt Actions in Copilot Studio
  • Define Success Criteria and Adoption Goals for AI Business Solutions

Module 6: Design extensibility of AI solutions

  • Design AI solutions by using custom models in Microsoft Foundry
  • Design agents in Microsoft 365 Copilot
  • Design agent extensibility in Copilot Studio
  • Design agent extensibility with Model Context Protocol in Copilot Studio
  • Design Agents to automate tasks in apps and websites by using Computer Use in Copilot Studio
  • Design agent behaviors in Copilot Studio, including reasoning and voice mode
  • Optimize solution design by using agents in Microsoft 365, including Teams and SharePoint
  • Module summary

Module 7: Orchestrate configuration for prebuilt agents and apps

  • Orchestrate AI features in Dynamics 365 apps for finance and supply chain
  • Design AI solutions in Dynamics 365 apps for customer experience & service
  • Propose Microsoft 365 Agents for Business Scenarios
  • Orchestrate the Configuration of Microsoft 365 Copilot for Sales and Microsoft 365 Copilot for Service
  • Propose Microsoft Power Platform AI features, including AI Hub
  • Design interoperability of the finance and operations agent chats to use additional knowledge sources
  • Recommend the process of adding knowledge sources to in app help and guidance for Dynamics 365 Finance or Dynamics 365 Supply Chain Management apps

Module 8: Analyze, monitor, and tune AI-powered business solutions

  • Apply AI Based Tools to Analyze and Identify Issues and Perform Tuning
  • Interpret telemetry data for performance and model tuning

Module 9: Manage the testing of AI-powered business solutions

  • Recommend the process and metrics to test agents
  • Create validation criteria of custom AI models
  • Validate effective Copilot prompt best practices
  • Design end-to-end test scenarios of AI solutions that use multiple Dynamics 365 apps
  • Build the strategy for creating test cases by using Copilot

Module 10: Design the ALM process for AI-powered business solutions

  • Design the ALM process for data used in AI models and agents
  • Design the ALM process for Copilot Studio agents, connectors, and actions
  • Design the ALM process for Microsoft Foundry agents
  • Design the ALM process for custom AI models
  • Design the ALM process for AI in Dynamics 365 apps for finance and supply chain
  • Design the ALM process for AI in Dynamics 365 apps for customer experience and service

Module 11: Design responsible AI, security, governance, risk management, and compliance

  • Design security for agents
  • Design governance for agents
  • Design model security
  • Analyze solution and AI vulnerabilities and mitigations, including prompt manipulation
  • Review solution for adherence to responsible AI principles
  • Validate data residency and movement compliance
  • Design access controls on grounding data and model tuning
  • Design audit trails for changes to models and data

Class Schedule

Instructor‑Led Training

  • 24 Hours of Instructor‑Led Training
  • One‑to‑one doubt‑resolution sessions
  • Cloud Lab Access

Learning Objectives

After completing this course, students will be able to:

  • Analyse business requirements to identify agentic and generative AI use cases aligned with organisational
  • Define AI strategies that align with business value, ROI, and adoption objectives
  • Architect scalable, secure, and integrated AI solutions across Microsoft platforms
  • Design extensible AI solutions that support cross-platform integration and future business growth
  • Manage the end-to-end lifecycle of agentic AI solutions in production environments
  • Monitor, optimise, and govern AI solutions to ensure reliability, performance, and scalability

About Microsoft Certified: Agentic AI Business Solutions Architect Exam

To help you understand the assessment better, here are a few important details about the exam.


Exam Name Microsoft Certified: Agentic AI Business Solutions Architect
Who should Apply Solution Architect
Duration of Exam 100-120 Minutes
Fees Rs. 4,865 (India), $165 USD (United States)
Level of Difficulty Advanced
Type of Credential Microsoft Certification
Languages English, Japanese, Chinese (Simplified), German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia)
Exam Retake Exam retake allowed after 24 hours
Quality Check during Assessment The online exam is proctored

The table below represents the weightage of each study area in the exam. Areas with higher percentages are expected to have more questions.

Study Area Percentage
Plan AI-powered business solutions 25-30%
Design AI-powered business solutions 25-30%
Deploy AI-powered business solutions 40-45%

How do our AB-100: Architecting agentic AI business solutions Training Course Work?

Your Roadmap to become successful

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Sharpen your skills by learning through course assignments, live projects, and regular assessments and quizzes.

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FAQ's About AB-100: Architecting agentic AI business solutions Training Course

AB‑100 focuses on designing, governing, and validating enterprise‑grade agentic AI solutions using Microsoft technologies. The course helps architects understand how to design AI agents, prompts, models, data, security controls, governance frameworks, and lifecycle management practices that align with real business scenarios.

This course is ideal for solution architects, enterprise architects, AI architects, senior developers, Power Platform professionals, and technical leaders responsible for designing or governing AI‑driven business solutions using Microsoft Copilot, Copilot Studio, Azure AI Foundry, and related services.

Participants should have a foundational understanding of cloud concepts, Microsoft 365 or Azure, and basic familiarity with AI or Copilot concepts. Prior hands‑on development experience is helpful but not mandatory, as the course focuses on architecture, design decisions, and governance rather than coding.

After completing AB‑100, learners will be able to architect agentic AI solutions, design secure and compliant AI systems, apply responsible AI principles, define ALM strategies for AI components, evaluate AI risks and vulnerabilities, and ensure data residency, governance, and operational readiness across enterprise environments.

Yes. The course covers architectural patterns and governance considerations for Microsoft Copilot, Copilot Studio agents, custom actions, connectors, prompts, and integrations, with a strong focus on enterprise readiness rather than basic usage.

Yes. Responsible AI, security, risk management, compliance, data protection, prompt manipulation risks, audit trails, and governance frameworks are core pillars of the AB‑100 curriculum and are addressed throughout the course.

Yes. The course is aligned with the official Microsoft AB‑100 certification objectives and study guide. It prepares learners to understand the architectural expectations, design scenarios, and evaluation areas assessed in the certification exam.

The AB‑100 course is delivered over 3 days through instructor‑led training. Sessions include structured explanations, architectural discussions, real‑world scenarios, design walkthroughs, and guided analysis aligned with Microsoft best practices.

The course is delivered by a Microsoft Certified Trainer (MCT) with hands‑on experience in designing and architecting agentic AI solutions using Microsoft Copilot, Azure AI Foundry, Copilot Studio, and enterprise governance frameworks.

This is primarily an architecture and design‑focused course. While it may include guided demonstrations, scenario analysis, and design exercises, the emphasis is on decision‑making, patterns, governance, and evaluation rather than deep coding labs.

AB‑100 focuses on architectural capabilities including how to design safe, scalable, governed, and business‑aligned AI solutions. It emphasizes risk, compliance, lifecycle management, and enterprise decision‑making rather than implementation details.

Yes. The course is designed with enterprise and regulated environments in mind, covering topics such as data residency, audit trails, compliance controls, security boundaries, and governance models required for large organizations.

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