Course AB-100: Architecting agentic AI business solutions
Course Overview
Architecting Agentic AI Business Solutions is an advanced course for architects, senior consultants, and technical leads responsible for planning, designing, and governing AI-powered business solutions based on Microsoft platforms.
This course serves as a fundamental, real-world, architectural preparation step that develops the design judgment, strategic reasoning, and end-to-end understanding learners need before taking the AB-100 exam or implementing agentic AI solutions at scale.
Learners will explore how to design AI-powered business solutions that use agents, copilots, and generative AI to automate tasks, improve decision-making, and enhance employee and customer experiences. The emphasis is on architecture, trade-offs, governance, cost-benefit analysis, and lifecycle management, rather than step-by-step configuration.
Virtual course with certification exam included as a gift. Don't miss this opportunity! The exam is valued at €126 + VAT and is included at no additional cost.
Promotion valid until June 30, 2026. One-attempt exam available only in Virtual - Remote Learning mode. Not applicable to Self-Learning mode.
What the official Microsoft course at Nanfor includes
The course includes official Microsoft Learn materials, expert tutor presentations, official labs, specialized tutorials, personalized sessions with an expert tutor, certification preparation, and a completion certificate, combining official content with Nanfor's expert support.
Learn about all components
Training Objectives
Upon completing the AB-100: Architecting Agentic AI Business Solutions course, students 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 enterprise AI solutions.
- Design scalable, extensible, and sustainable solutions throughout their lifecycle.
- Understand the agentic-first approach and its impact on business processes.
- Conceptually prepare for the AB-100 exam, from an architectural and strategic perspective, not rote memorization.
Prerequisites
This course is aimed at professionals with prior experience. It is recommended that students have:
- Experience in enterprise 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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Access to classroom:
3 months
Who is this course for?
This training is aimed at:
- Solution architects and enterprise architects who design intelligent, agent-based business solutions
- Senior technical and functional consultants working with Dynamics 365, Microsoft 365, Power Platform, or Azure AI services
- AI and digital transformation leaders who define governance, strategy, and AI adoption across the organization
- Application architects and technical leads who integrate agents, copilots, and generative AI into enterprise workloads
- Experienced professionals preparing to advance towards formal validation of AI solutions, seeking architectural depth rather than exam-centric instructions
Elements of the AB-100 Microsoft Learn collection
- Designing AI solutions for business productivity (6 modules)
Course Content: Architecting agentic AI business solutions - Program
Unit 1 Introduction to Agentic AI Business Solutions Architecture
- Architect's role in AI transformation for business
- Overview of Microsoft AI technologies
- Identify Microsoft AI (OOB) agentic resources
- Identify Microsoft AI (OOB) agents
Unit 2 Analyze requirements for AI-driven 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 to be available for other AI systems
Unit 3: Design a comprehensive AI strategy for business solutions
- 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 use cases for pre-built agents in the solution
- Define solution 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-Driven Business Solutions
- Identify key business user roles for AI workloads
- Evaluate AI and data regulation and regional and local compliance
Unit 4: Evaluate the costs and benefits of an AI-driven business solution
- Select ROI criteria for AI-driven 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 fundamental principles 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 for Copilot in Dynamics 365 applications 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 alert 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 topics for Copilot Studio, including fallback options
- Design data processing for AI models and their grounding
- Design a business process to include AI components in a Power Apps Canvas application
- 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 AI-powered business solutions
Unit 6: Design AI solution extensibility
- Design AI solutions 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 (MCP) in Copilot Studio
- Design agents to automate tasks in applications and websites using Computer Use in Copilot Studio
- Design agent behavior in Copilot Studio, including reasoning and voice mode
- Optimize solution design using agents in Microsoft 365, including Teams and SharePoint
Unit 7: Orchestration of pre-defined agents and application configurations
- Orchestration of AI functionalities in Dynamics 365 applications for finance and supply chain
- Design AI solutions in Dynamics 365 applications for customer experience and service
- Proposal of Microsoft 365 agents for business scenarios
- Orchestration of Microsoft 365 Copilot for Sales and Microsoft 365 Copilot for Service configurations
- Proposal of Microsoft Power Platform AI functionalities, including AI Hub
- Design of interoperability for Finance and Operations agent chats to use additional knowledge sources
- Recommendation of the process for adding knowledge sources to in-app help and guidance in Dynamics 365 Finance or Supply Chain Management
Unit 8: Analysis, monitoring, and optimization of AI-based business solutions
- Recommendation of processes and tools for agent monitoring
- Analysis of backlog and user feedback on AI and agent usage
- Application of AI-based tools to analyze, identify problems, and perform tuning
- Monitoring of agent performance and metrics
- Interpretation of telemetry data for performance optimization and model tuning
Unit 9: Managing testing of AI-based business solutions
- Recommendation of process and metrics for testing AI agents
- Creation of validation criteria for custom AI models
- Validation of best practices in designing effective Copilot prompts
- Design of end-to-end (E2E) testing scenarios for AI solutions using multiple Dynamics 365 applications
- Definition of strategy for creating test cases using Copilot
Unit 10: Designing the ALM process for AI-based business solutions
- Design of the ALM process for data used in AI models and agents
- Design of the ALM process for Copilot Studio agents, connectors, and actions
- Design of the ALM process for Microsoft Foundry agents
- Design of the ALM process for custom AI models
- Design of the ALM process for AI in Dynamics 365 (Finance and Supply Chain)
- Design of the ALM process for AI in Dynamics 365 (Customer Experience and Service)
Unit 11: Design of Responsible AI, Security, Governance, Risk Management, and Compliance
- Design of security for AI agents, including identity, access control, data protection, observability, and threat protection
- Design of agent governance, covering ownership, lifecycle control, approvals, auditing, observability, and cost control
- Design of AI model security, including identity control, data protection, workload hardening, and threat response
- Analysis of vulnerabilities in AI solutions and agents, including prompt manipulation, data exposure, and access control failures, and definition of mitigations
- Review of solutions according to Microsoft's Responsible AI principles (fairness, reliability and safety, privacy, inclusiveness, transparency, and accountability)
- Validation of data residency and movement compliance in AI solutions and Copilot Studio
- Design of access controls over grounding data and model tuning processes, applying least privilege, environment segregation, and approval controls
- Design of traceability and auditing 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
Nanfor's AB-100 course prepares 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
Prerequisites for certification
To become a Microsoft Certified Agentic AI Business Solutions Architect, you must meet at least one of the following prerequisites:
Do you want to take this course? Request information now
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 face-to-face or telepresence mode, please contact us:
Nanfor, official Microsoft ICT training center
Nanfor is a custom ICT training center, specializing in technology training for professionals and companies, 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 how to develop or program AI agents?
No. The AB-100 course focuses on the architecture, design, and governance of agent 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
Microsoft Certified: Agent AI Business Solutions Architect certification. 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 prep" course, but it does provide solid and consistent preparation for the AB-100 certification.
Its objective is to develop architectural judgment, business vision, and end-to-end design capability, which are fundamental to passing the exam and, above all, to performing the role of Agent AI Business Solutions Architect in real environments.
What type of solutions are analyzed in the course?
We analyze business solutions based on AI agents, copilots, and generative AI, aimed at automation, decision-making, and improving employee and customer experiences.
What professional profile 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 fundamental for designing enterprise-scale AI agent solutions, beyond technical implementation.
What is the duration and modality of the course?
The training is virtual - e-learning with support always by your side. It takes place in Nanfor's virtual classroom, with 3 months of access and the possibility of extending it for one more month (not available for subsidized training).
Face-to-face or telepresence training can also be arranged upon request.
