AI Powered Course
Agentic AI Business Solutions Certification Training
Design Intelligent Agentic AI Solutions for Enterprise Innovation
Program Highlights
The Agentic AI Business Solutions Certification Training course from InfosecTrain helps learners build the architectural judgment, enterprise design thinking, and knowledge of the Microsoft AI platform needed to plan, design, deploy, and govern AI-powered business solutions using agents, copilots, and generative AI.
This training focuses on real-world architecture, business transformation, AI solution strategy, governance, security, cost-benefit analysis, lifecycle management, and enterprise readiness for agentic AI solutions.
24-Hour LIVE Instructor-Led Training 
Microsoft-Aligned AB-100T00-A Curriculum 
Learn Agentic AI, Copilots, Generative AI, and AI Orchestration 
Learn from Certified and Industry-Experienced Trainers 
Design Enterprise AI Solutions with Microsoft Copilot 
Focus on Architecture, Governance, & Security 
Career Guidance and One-on-One Mentorship 
Flexible Schedule with Live Sessions 
Post-Training Support & Recordings
Training Schedule
- upcoming classes
- corporate training
- 1 on 1 training
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About Course
InfosecTrain’s AB-100T00-A: Architecting Agentic AI Business Solutions Training helps experienced professionals understand how to architect AI-powered business solutions using agents, copilots, and generative AI. The course focuses on designing intelligent business solutions that automate tasks, improve decision-making, enhance productivity, and deliver measurable business value.
This training is designed for technology professionals responsible for planning, designing, and guiding AI-powered enterprise solutions on Microsoft platforms. It emphasizes architecture, design trade-offs, governance, security, cost-benefit analysis, lifecycle management, and enterprise-scale AI adoption rather than only step-by-step configuration.
Important Note: AB-100T00-A is a Microsoft-aligned instructor-led course that supports architectural understanding for AB-100. It aligns conceptually with many AB-100 exam skill areas, but should not be positioned only as a dedicated test-preparation course.
Course Curriculum
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Learning Path: Architect Agentic AI Business Solutions
- Module 1: Introduction to Agentic AI Business Solutions
- Introduction
- Drive AI transformation with architect strategies
- Explore Microsoft AI technologies for business
- Identify Microsoft AI technologies for business solutions
- Identify out-of-box Microsoft AI agent resources for business solutions
- Identify out-of-box Microsoft AI agents for business
- 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, and availability
- Organize business solution data for AI systems
- Module 3: Design Overall AI Strategy for Business Solutions
- Introduction
- Implement an AI adoption process with Azure
- Design AI agents for business solutions
- Design a multi-agent solution
- Develop use cases for prebuilt Microsoft 365 Copilot agents
- Define solution rules and constraints for AI components
- Determine generative AI knowledge sources for agents built in 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 use cases for customized small language models
- Provide prompt engineering guidelines and techniques
- Identify key business user roles for AI workloads
- Evaluate regional and local AI data regulation compliance requirements
- Include elements in a Microsoft AI Center of Excellence
- Design AI solutions using multiple Dynamics 365 apps
- Design user prompt training for AI solution adoption
- Module 4: Evaluate Costs and Benefits of AI Solutions
- Introduction
- Evaluate ROI criteria for AI-powered solutions
- Create an ROI analysis for a proposed AI solution
- Analyze whether to build, buy, or extend AI components
- Implement a model router to intelligently route requests to the most suitable model
- Module 5: Design AI Agents for Business Solutions
- Introduction
- Define the core tenets of responsible AI guidelines for AI business solutions
- Design business terms for Copilot in Dynamics 365 Customer Service
- Design customizations for Copilot in Dynamics 365 apps
- Design connectors for Copilot in Dynamics 365 Sales
- Design AI agents for Dynamics 365 Contact Center
- Design task agents in Microsoft Copilot Studio
- Design autonomous agents in Copilot Studio
- Design prompt-driven agents using Copilot Studio
- Propose Foundry tools given a requirement
- Propose code for the first generative pages and agent feed applications
- Design topics for Copilot Studio, including fallback
- Design data processing workflows for grounded AI
- Design business processes with AI in Power Apps canvas apps
- Apply the Microsoft Power Platform Well-Architected Framework to intelligent application workloads
- Determine the use of standard natural language processing
- 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
- Introduction
- Design AI solutions with custom models in Microsoft Foundry
- Design agents in Microsoft 365 Copilot
- Design extensible agents in Microsoft Copilot Studio
- Design extensible agents using MCP in Copilot Studio
- Design agents to automate tasks in apps and websites with Computer Use in Copilot Studio
- Design agent behaviors in Copilot Studio
- Optimize solution design for agents in Microsoft 365
- Module 7: Orchestrate Configuration of Prebuilt Agents and Apps
- Introduction
- Design AI solutions for Dynamics 365 Customer Service
- Propose Microsoft 365 agents for business scenarios
- Orchestrate and configure Microsoft 365 Copilot for sales and service
- Propose Microsoft Power Platform AI features
- Design interoperable agent experiences for Finance and Operations
- Recommend process knowledge sources for in-app help in Dynamics 365
- Orchestrate AI features in Dynamics 365 Finance and Supply Chain
- Module 8: Monitor, Analyze, and Tune AI Agents
- Introduction
- Recommend process tools for monitoring agents
- Analyze backlog and user feedback for AI agent usage
- Apply AI-based tools to analyze, identify issues, and perform tuning
- Monitor AI agent performance metrics
- Interpret telemetry data to tune AI performance
- Module 9: Manage Testing AI-Powered Business Solutions
- Introduction
- Recommend process metrics for testing AI agents
- Create validation criteria for custom AI models
- Validate effective Copilot prompt best practices
- Design end-to-end test scenarios for AI solutions using multiple Dynamics 365 apps
- Build a strategy for creating test cases using Copilot
- Module 10: Design ALM Process for AI-Powered Business Solutions
- Introduction
- Design an ALM process for data used in AI models and agents
- Design an ALM process for Copilot Studio agents, connectors, and actions
- Design ALM processes for Microsoft Foundry agents
- Design an ALM process for custom AI models
- Design an ALM process for AI in Dynamics 365 Finance and Supply Chain
- Design ALM processes for AI in Dynamics 365 apps
- Module 11: Design Responsible AI Security, Governance, Risk Management, and Compliance
- Introduction
- Design security agents for Microsoft Clouds
- Design governance models for AI agents
- Design model security for responsible AI
- Analyze AI vulnerabilities and mitigations for prompt manipulation
- Review solution adherence to Responsible AI principles
- Validate data residency and movement compliance
- Design access controls for grounding data and model tuning
- Design audit trails for changes to models and data
Target Audience
This course is ideal for experienced professionals involved in enterprise AI solution design and digital transformation, including:
- Solution Architects
- Enterprise Architects
- Senior Functional Consultants
- Senior Technical Consultants
- AI and Digital Transformation Leads
- Application Architects
- Technical Leaders
- Experienced Technology Professionals
Pre-requisites
Learners should have:
- Familiarity with Microsoft business applications
- Understanding of cloud concepts
- Knowledge of solution architecture fundamentals
- Basic understanding of AI concepts
- Familiarity with business process analysis
- Knowledge of Microsoft tools and platforms
To earn the Microsoft Certified: Agentic AI Business Solutions Architect certification, candidates must earn at least one eligible Microsoft prerequisite certification, such as:
- Microsoft Certified: Azure AI Apps and Agents Developer Associate
- Microsoft Certified: Dynamics 365 Business Central Developer Associate
- Microsoft Certified: Dynamics 365 Business Central Functional Consultant Associate
- Microsoft Certified: Dynamics 365 Customer Experience Analyst Associate
- Microsoft Certified: Dynamics 365 Customer Service Functional Consultant Associate
- Microsoft Certified: Dynamics 365 Field Service Functional Consultant Associate
- Microsoft Certified: Dynamics 365 Finance Functional Consultant Associate
- Microsoft Certified: Dynamics 365 Supply Chain Management Functional Consultant Associate
- Microsoft Certified: Dynamics 365: Finance and Operations Apps Developer Associate
- Microsoft Certified: Power Platform Functional Consultant Associate
- Microsoft Certified: Power Platform Developer Associate
- Microsoft Certified: Power Automate RPA Developer Associate
- Microsoft Certified: Azure AI Engineer Associate
Exam Details
| Certification Name | Microsoft Certified: Agentic AI Business Solutions Architect |
| Exam Code | AB-100 |
| Exam Format | Proctored Microsoft certification exam; may include interactive components |
| Passing Score | 700 or Greater |
| Exam Duration | 100 Minutes |
| Exam Language | English |
| Availability | Schedule through Pearson VUE |
Note: The number of questions on a certification exam is subject to change as Microsoft updates it to align with current technology and job role changes. Most Microsoft Certification exams typically contain between 40 and 60 questions; however, the number can vary depending on the exam.
Course Objectives
After completing this training, you will be able to:
- Plan AI-powered business solutions
- Analyze business and technical requirements for AI-powered solutions
- Assess the use of agents in task automation, analytics, and decision-making
- Review data for grounding, accuracy, relevance, timeliness, cleanliness, and availability
- Design an overall AI strategy for business solutions
- Design agentic-first and multi-agent business solutions
- Evaluate ROI, total cost of ownership, and build-buy-extend decisions
- Design AI agents for Dynamics 365, Microsoft 365 Copilot, Copilot Studio, Power Platform, and Microsoft Foundry
- Design extensible AI solutions using Microsoft platforms and open standards
- Orchestrate prebuilt agents and Microsoft business applications
- Monitor, analyze, test, and tune AI agents
- Design ALM processes for AI-powered business solutions
- Design responsible AI, governance, security, risk management, and compliance controls
Vision
Goal
Skill-Building
Mentoring
Direction
Support
Success
Benefits of AB-100T00-A Certification Training
Design enterprise-ready agentic AI solutions
Build skills in AI agents, copilots, and orchestration
Align AI solutions with business goals
Improve ROI and AI solution design decisions
Prepare for advanced AI Architect roles
Average Salary
Average Salary
Hiring Companies
"Source: Indeed, Glassdoor"
Confused about the right course for yourself?
It was a very good experience with the team. The class was clear and understandable, and it benefited me in learning all the concepts and gaining valuable knowledge.
I loved the overall training! Trainer is very knowledgeable, had clear understanding of all the topics covered. Loved the way he pays attention to details.
I had a great experience with the team. The training advisor was very supportive, and the trainer explained the concepts clearly and effectively. The program was well-structured and has definitely enhanced my skills in AI. Thank you for a wonderful learning experience.
The class was really good. The instructor gave us confidence and delivered the content in an impactful and easy-to-understand manner.
The program helped me understand several areas I was unfamiliar with. The instructor was exceptionally skilled and confident in delivering content.
The program was well-structured and easy to follow. The instructor’s use of real-life AI examples made it easier to connect with and understand the concepts.
Frequently Asked Questions
What is AB-100T00-A Architecting Agentic AI Business Solutions training?
It is a Microsoft-aligned training course focused on designing AI-powered business solutions using agents, copilots, and generative AI.
Who should enroll in agentic AI business solutions training?
This course is ideal for Solution Architects, Enterprise Architects, Senior Functional Consultants, Senior Technical Consultants, AI and Digital Transformation Leads, Application Architects, Technical Leaders, and experienced technology professionals.
What is agentic AI, and how does it differ from traditional AI systems?
Agentic AI can plan, act, and complete tasks with greater autonomy, whereas traditional AI typically responds to specific inputs.
What topics are covered in AB-100 training?
The course covers AI strategy, agents, copilots, orchestration, extensibility, monitoring, testing, ALM, governance, security, risk, and compliance.
Does the course cover autonomous AI agents and orchestration?
Yes. It covers designing AI agents and multi-agent solutions, as well as orchestrating prebuilt agents and apps.
Will I learn how to design enterprise-grade agentic AI architectures?
Yes. The course focuses on designing scalable, secure, governed, and business-aligned AI architectures.
Are AI governance and responsible AI covered in the training?
Yes. The training covers responsible AI, governance, security, compliance, risk management, and control design.
What skills will I gain from agentic AI business solutions training?
You will learn how to plan, design, deploy, monitor, test, and govern AI-powered business solutions.
How does AB-100 support AI-driven business transformation initiatives?
It helps learners design AI solutions that automate workflows, improve productivity, support decision-making, and align with business outcomes.
Is this course suitable for Architects, Developers, and AI Leaders?
Yes. It is suitable for experienced Architects, Developers, and AI Leaders involved in enterprise AI solution design.
How do agentic AI systems improve enterprise workflows and decision-making?
They automate multi-step tasks, connect business data, reduce manual effort, and help teams make faster, more informed decisions.
What tools and frameworks are used to build agentic AI solutions?
The course focuses on Microsoft Copilot, Copilot Studio, Dynamics 365, Power Platform, Microsoft Foundry, and AI architecture frameworks.
