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Course AB-100: Architecting agentic AI business solutions
Course overview
The architecting agentic AI business solutions course is an advanced course for architects, senior consultants, and technical leaders responsible for planning, designing, and governing business solutions based on artificial intelligence built on Microsoft platforms.
This course serves as a fundamental, practical, and architectural preparation step that develops the design judgment, strategic reasoning, and end-to-end understanding that students need before taking the AB-100 exam or implementing AI solutions with actionable capabilities at scale.
Students will explore how to design business solutions with artificial intelligence technology that use agents, copilots, and generative artificial intelligence to automate tasks, improve decision-making, and enhance employee and customer experiences. Emphasis is placed on architecture, trade-offs, governance, cost-benefit analysis, and lifecycle management, rather than step-by-step configuration.
Virtual course with certification exam included for free. Don't miss this opportunity! The exam is valued at €126 + VAT and is included at no additional cost.
Promotion valid until December 31, 2026. One-time exam available only in Virtual - Distance Learning format.
What the official Microsoft course at Nanfor includes
The course includes official Microsoft Learn material, presentations by expert instructors, official labs, specialized tutoring, personalized sessions with an expert instructor, certification preparation, and a certificate of completion, combining official content with Nanfor's expert guidance.
Learn all the components
Training objectives
Upon completion of the AB‑100: Architecting Agentic AI Business Solutions course, the student will be able to:
- Design agentic AI-based business architectures using Microsoft platforms.
- Make informed architectural decisions, evaluating technical and business trade‑offs.
- Analyze and translate business requirements into AI solutions with agents, copilots, and generative AI.
- Evaluate costs, benefits, and return on investment (ROI) of agentic AI solutions.
- Define governance, security, risk, and compliance models for business AI solutions.
- Design scalable, extensible, and sustainable solutions throughout their lifecycle.
- Understand the agentic‑first approach and its impact on business processes.
- Prepare conceptually for the AB‑100 exam, from an architectural and strategic perspective, not through memorization.
Prerequisites
This course is intended for professionals with prior experience. It is recommended that the student has:
- Experience in business solution architecture.
- Knowledge of Microsoft platforms, such as:
- Dynamics 365
- Microsoft 365
- Power Platform
- Azure (cloud concepts)
- Basic understanding of Artificial Intelligence concepts
- Experience in business process analysis.
- Familiarity with governance, security, and solution design approaches.
Level: advanced - Product: Dynamics 365, Microsoft Copilot, Microsoft Power Platform - Role: Solutions Architect
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Course duration:
100 hours
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Classroom access:
3 months
Who is this course intended for?
This training is intended for:
- Solutions architects and enterprise architects who design intelligent, agent-based business solutions
- Senior technical and functional consultants who work with Dynamics 365, Microsoft 365, Power Platform, or Azure AI services
- Artificial intelligence and digital transformation leaders who define governance, strategy, and artificial intelligence adoption across the organization
- Application architects and technical leaders who integrate agents, copilots, and generative artificial intelligence into business workloads
- Experienced professionals preparing to move toward formal validation of AI solutions, seeking architectural depth rather than exam-focused instructions
Elements of the Microsoft Learn AB-100 collection
- Design artificial intelligence solutions for business productivity (6 modules)
Course content Architecting agentic AI business solutions - Program
Unit 1 Introduction to Agentic AI Business Solution Architecture
- The architect's role in AI transformation for businesses
- Overview of Microsoft AI technologies
- Identify Microsoft AI agent resources (OOB)
- Identify Microsoft AI agents (OOB)
Unit 2 Analyze the requirements of AI-powered business solutions
- Evaluate the use of agents in task automation, data analysis, and decision-making
- Review data for grounding (accuracy, relevance, timeliness, cleanliness, availability)
- Organize business solution data so that it is available to other AI systems
Unit 3: Design an overall AI strategy for business solutions
- Implement the AI adoption process from the Cloud Adoption Framework for Azure
- Design the strategy to build AI agents in business solutions
- Design a multi-agent solution
- Develop use cases for prebuilt agents in the solution
- Define the solution's rules and constraints when building AI components (with Copilot Studio, Microsoft Foundry, and Foundry Tools)
- Determine the use of generative AI and knowledge sources in agents built with Copilot Studio
- Determine when to create 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 custom 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 regulations and compliance
Unit 4: Evaluate the costs and benefits of an AI-powered business solution
- Select ROI criteria for AI-powered business solutions, including total cost of ownership (TCO)
- Create a return on investment analysis for the proposed AI solution for a business process
- Analyze whether to build, buy, or extend AI components for business solutions
Unit 5: Design AI and agents for business solutions
- Define the core principles of Microsoft's Responsible AI Guidelines for business AI solutions
- Design business terms for Copilot in Dynamics 365 Apps for customer experience and service
- Copilot design customizations 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 notification and response agents
- Propose Foundry tools for a specific requirement
- Propose generative pages with a Code First approach and the use of an agent feed for applications
- Design themes for Copilot Studio, including reservation options
- Design data processing for AI models and their 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 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 business solutions with AI
Unit 6: Designing the Extensibility of Artificial Intelligence Solutions
- Designing AI solutions using custom models in Microsoft Foundry
- Designing agents in Microsoft 365 Copilot
- Designing agent extensibility in Copilot Studio
- Designing agent extensibility with Model Context Protocol (MCP) in Copilot Studio
- Designing agents to automate tasks in applications and websites using Computer Use in Copilot Studio
- Designing agent behavior in Copilot Studio, including reasoning and voice mode
- Optimizing the design of solutions using agents in Microsoft 365, including Teams and SharePoint
Unit 7: Orchestrating the Configuration of Prebuilt Agents and Applications
- Orchestrating AI features in Dynamics 365 Finance and Supply Chain Management applications
- Designing AI solutions in Dynamics 365 Customer Experience and Service applications
- Proposing Microsoft 365 agents for business scenarios
- Orchestrating the configuration of Microsoft 365 Copilot for Sales and Microsoft 365 Copilot for Service
- Proposing Microsoft Power Platform AI features, including AI Hub
- Designing the interoperability of Finance and Operations agent chats to use additional knowledge sources
- Recommending the process for adding knowledge sources to in-app help and guidance in Dynamics 365 Finance or Supply Chain Management
Unit 8: Analyzing, Monitoring, and Optimizing AI-Based Business Solutions
- Recommending processes and tools for monitoring agents
- Analyzing the backlog and user feedback on the use of AI and agents
- Applying AI-based tools to analyze, identify issues, and perform tuning
- Monitoring agent performance and metrics
- Interpreting telemetry data for performance optimization and model tuning
Unit 9: Managing Testing of AI-Based Business Solutions
- Recommending the process and metrics for testing AI agents
- Creating validation criteria for custom AI models
- Validating best practices in designing effective Copilot prompts
- Designing end-to-end (E2E) test scenarios for AI solutions that use multiple Dynamics 365 applications
- Defining the strategy for creating test cases using Copilot
Unit 10: Designing the ALM Process for AI-Based Business Solutions
- Designing the ALM process for data used in AI models and agents
- Designing the ALM process for Copilot Studio agents, connectors, and actions
- Designing the ALM process for Microsoft Foundry agents
- Designing the ALM process for custom AI models
- Designing the ALM process for AI in Dynamics 365 (Finance and Supply Chain)
- Designing the ALM process for AI in Dynamics 365 (Customer Experience and Service)
Unit 11: Responsible AI, Security, Governance, Risk Management, and Compliance Design
- Designing security for AI agents, including identity, access control, data protection, observability, and threat protection
- Designing agent governance, covering ownership, lifecycle control, approvals, auditing, observability, and cost control
- Designing AI model security, including identity control, data protection, workload hardening, and threat response
- Analyzing vulnerabilities in AI solutions and agents, including prompt manipulation, data exposure, and access control failures, and defining mitigations
- Reviewing solutions according to Microsoft's Responsible AI principles (fairness, reliability and safety, privacy, inclusion, transparency, and accountability)
- Validating compliance with data residency and data movement in AI solutions and Copilot Studio
- Designing access controls over grounding data and model tuning processes, applying least privilege, environment segregation, and approval controls
- Designing traceability and audit of changes in models and data, ensuring compliance, transparency, and investigability
Language
- Course: English / Spanish
- Labs: English / Spanish
Related Microsoft Certification: Agentic AI Business Solutions Architect
Microsoft Certified: Agentic AI Business Solutions Architect
The Nanfor AB-100 course prepares you for the official Microsoft Agentic AI Business Solutions Architect certification.
Level: Advanced
Role: Solutions Architect
Product: Dynamics 365, Microsoft Copilot, Microsoft Power Platform
Subject: Artificial Intelligence
Certification Prerequisites
To become a Microsoft Certified Agentic AI Business Solutions Architect, you must meet at least one of the following prerequisites:
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If you want to take this course virtually, you can purchase it at the top of the product page. If you have any questions, please contact us.
If you want to take this course in person or remotely, please contact us:
Nanfor, Microsoft's Official IT Training Center
Nanfor is a custom IT training center specializing in technology training for professionals and businesses, and is officially accredited by Microsoft as:
- Microsoft Solutions Partner – Training Services
- Microsoft Cloud Partner
These accreditations certify that Nanfor meets Microsoft's official standards for delivering technical training, using official content and Microsoft Certified Trainers (MCTs), ensuring quality, continuous updates, and alignment with official certifications.
Frequently Asked Questions
Does this course teach you how to develop or program AI agents?
No. The AB‑100 course focuses on the architecture, design, and governance of agentic AI solutions, not on technical development or step-by-step configuration.
Is this course related to an official Microsoft certification?
Yes. This course is directly related to the official certification
Microsoft Certified: Agentic AI Business Solutions Architect. The course content is aligned with the architectural, strategic, and governance competencies that Microsoft evaluates in this certification.
Is it a direct preparation course for the AB‑100 exam?
This course is not a "test-style" training course, but it does provide solid and coherent preparation for the AB‑100 certification.
Its goal is to develop architectural judgment, business vision, and end‑to‑end design capability, which are essential for passing the exam and, above all, for performing the role of Agentic AI Business Solutions Architect in real-world environments.
What types of solutions are analyzed in the course?
The course analyzes business solutions based on AI agents, copilots, and generative AI, aimed at automation, decision-making, and improving employee and customer experiences.
Who is this course aimed at?
It is aimed at Solution Architects, Enterprise Architects, digital transformation leaders, and senior consultants who design or govern AI-based business solutions in Microsoft environments.
What value does this course offer compared to other AI courses?
This course develops architectural judgment, strategic reasoning, and end‑to‑end vision, which are essential for designing agentic AI solutions at an enterprise scale, beyond technical implementation.
What is the duration and format of the course?
The training is virtual - remote learning with support always by your side. It takes place in Nanfor's virtual classroom, with access for 3 months and the option to extend for one additional month (not available for subsidized training).
In-person or remote training can also be provided on demand.
