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Overview
Architecting agentic AI business solutions (AB-100) equips experienced solution architects with the skills to design, orchestrate and govern AI-powered business solutions using Microsoft technologies.
This advanced, three-day instructor-led course focuses on architecting agentic-first solutions that integrate Microsoft Azure, Dynamics 365, Microsoft 365, Microsoft Power Platform, Copilot Studio and Microsoft Foundry. You will learn how to plan, design and deploy scalable, secure and responsible AI-powered business solutions that transform enterprise processes and deliver measurable value.
Aligned to the AB-100 certification exam, this course prepares you to lead AI transformation initiatives, design multi-agent solutions and implement governance, security and application lifecycle management strategies for AI-centric architectures.
Prerequisites
Learners should have:
- Advanced experience with Microsoft Azure, Dynamics 365, Microsoft 365 and Microsoft Power Platform
- Experience designing enterprise-scale solutions
- Working knowledge of AI concepts, including generative AI and large language models
- Familiarity with Copilot capabilities and cloud architecture principles
Target audience
This course is designed for:
- Solution architects designing AI-powered business applications
- Enterprise architects leading AI transformation initiatives
- Senior consultants implementing Microsoft AI, Dynamics 365 or Power Platform solutions
- Technical leaders responsible for AI governance, security and architecture
Learning objectives
By the end of this course, you will be able to:
- Plan AI-powered business solutions aligned to organisational strategy and measurable outcomes
- Design agentic-first architectures using Microsoft Copilot, Copilot Studio, Microsoft Foundry and Dynamics 365
- Architect multi-agent orchestrated solutions across Microsoft 365 and Power Platform
- Evaluate return on investment and total cost of ownership for AI-powered initiatives
- Design secure, compliant and responsible AI solutions with appropriate governance controls
- Implement monitoring, testing and application lifecycle management strategies for AI solutions
- Lead AI adoption conversations and define roadmaps for enterprise transformation
Course Outline
Plan AI-powered business solutions
Analyse requirements for AI-powered solutions
- Assess the use of agents for task automation, analytics and decision support
- Evaluate data readiness for grounding, including accuracy, relevance and availability
- Organise enterprise data for interoperability with AI systems
Design an AI strategy for business solutions
- Apply the Cloud Adoption Framework for Azure to AI adoption
- Define an agentic-first architecture strategy
- Design multi-agent solutions using Microsoft 365 Copilot, Copilot Studio and Microsoft Foundry
- Identify use cases for prebuilt agents and determine when to extend or build custom agents
- Define rules, constraints and knowledge sources for AI components
- Develop prompt libraries and prompt engineering standards
- Identify use cases for custom and small language models
- Incorporate AI Centre of Excellence principles
- Design cross-application AI solutions across Dynamics 365 workloads
Evaluate cost, value and architectural choices
- Define return on investment criteria and total cost of ownership
- Conduct ROI analysis for AI-powered business processes
- Determine when to build, buy or extend AI capabilities
- Implement intelligent model routing strategies
Design AI-powered business solutions
Design AI and agents for business applications
- Architect Copilot experiences in Dynamics 365 for customer experience and service
- Design custom Copilot integrations and connectors
- Design task agents, autonomous agents and prompt-driven agents
- Design topics, actions and fallback strategies in Copilot Studio
- Propose appropriate Foundry tools and generative capabilities
- Integrate AI into Power Apps canvas applications
- Apply the Power Platform Well-Architected Framework to intelligent workloads
- Select between natural language processing, conversational language understanding and generative orchestration
- Design agent flows and behaviours, including reasoning and voice capabilities
Design extensible AI solutions
- Design custom AI models in Microsoft Foundry
- Extend Microsoft 365 Copilot and Copilot Studio using Model Context Protocol
- Design automation scenarios using Computer Use capabilities
- Optimise solution design using Microsoft 365 collaboration tools such as Teams and SharePoint
Orchestrate prebuilt agents and applications
- Configure AI features across Dynamics 365 finance, supply chain, customer experience and service
- Orchestrate Microsoft 365 Copilot for Sales and Service
- Propose AI features in Power Platform, including AI hub
- Integrate additional knowledge sources into finance and operations agent experiences
Deploy AI-powered business solutions
Monitor, analyse and optimise AI solutions
- Design monitoring strategies for agents and AI components
- Analyse telemetry data and user feedback
- Identify performance issues and apply tuning strategies
- Optimise agent reliability and behaviour through data-driven insights
Manage testing of AI-powered solutions
- Define validation criteria for custom AI models
- Validate prompt effectiveness and best practice alignment
- Design end-to-end test scenarios across multiple Dynamics 365 workloads
- Develop AI-assisted test case strategies
Design application lifecycle management for AI
- Define ALM processes for AI models, agents and data
- Manage lifecycle processes for Copilot Studio agents and connectors
- Design ALM for AI in Dynamics 365 finance, supply chain, customer experience and service
Design security, governance and responsible AI
- Architect secure agent and model environments
- Design governance frameworks for AI solutions
- Mitigate vulnerabilities, including prompt manipulation
- Ensure data residency, access controls and audit trail compliance
- Align solutions to Microsoft responsible AI principles
Certification
This course prepares delegates for the Microsoft certification exam:
AB-100: Architecting agentic AI business solutions
Skills measured in the exam include:
- Plan AI-powered business solutions (25–30%)
- Design AI-powered business solutions (25–30%)
- Deploy AI-powered business solutions (40–45%)
Business benefits
Organisations that develop AB-100 certified architects can:
- Accelerate AI adoption with structured architectural strategies
- Reduce risk through secure and governed AI implementations
- Improve return on investment from AI initiatives
- Enable scalable, cross-platform AI integration
- Lead enterprise-wide AI transformation with confidence
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