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$1,995.00
February 4 - 6, 2026
9:00 AM – 4:00 PM CST
March 4 - 6, 2026
9:00 AM – 4:00 PM CST
April 8 - 10, 2026
9:00 AM – 4:00 PM CST
May 6 - 8, 2026
9:00 AM – 4:00 PM CST
June 3 - 5, 2026
9:00 AM – 4:00 PM CST
July 8 - 10, 2026
9:00 AM – 4:00 PM CST
August 5 - 7, 2026
9:00 AM – 4:00 PM CST
October 7 - 9, 2026
9:00 AM – 4:00 PM CST
November 4 - 6, 2026
9:00 AM – 4:00 PM CST
December 9 - 11, 2026
9:00 AM – 4:00 PM CST
Reserve Your Seat
- Virtual instructor Led Training
- Complete Hands-on Labs
- Softcopy of Courseware
- Learning Labs
- Virtual instructor Led Training
- Complete Hands-on Labs
- Softcopy of Courseware
- Learning Labs
- You can use your Purchase Card and checkout
- The GSA Contract Number: 47QTCA20D000D
- Call 800-453-5961 for details
- Customize your class
- Delivery Onsite or Online for your organization
- Choice of Dates when and where you want
- Guidance in choosing and customizing your class
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Skills at a glance
- Plan AI-powered business solutions (25–30%)
- Design AI-powered business solutions (25–30%)
- Deploy AI-powered business solutions (40–45%)
Plan AI-powered business solutions (25–30%)
Analyze requirements for AI-powered business solutions
- Assess the use of agents in task automation, data analytics, and decision-making
- Review data for grounding, including accuracy, relevance, timeliness, cleanliness, and availability
- Organize business solution data to be available for other AI systems
Design overall AI strategy for business solutions
- Implement the AI adoption process from the Cloud Adoption Framework for Azure
- Design the strategy for building AI and agents in business solutions
- Design a multi-agent solution by using platforms such as Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry
- Develop the use cases for prebuilt agents in the solution
- Define the solution rules and constraints when building AI components with Copilot Studio, Azure AI services, and Azure AI Foundry
- 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 for the solution
- Provide prompt engineering guidelines and techniques for AI-powered business solutions
- Include the elements of the Microsoft AI Center of Excellence
- Design AI solutions that use multiple Dynamics 365 apps
Evaluate the costs and benefits of an AI-powered business solution
- Select ROI criteria for AI-powered business solutions, including the total cost of ownership
- 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
- Implement a model router to intelligently route requests to the most suitable model
Design AI-powered business solutions (25–30%)
Design AI and agents for 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 Microsoft AI services 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
Design extensibility of AI solutions
- Design AI solutions by using custom models in Azure AI 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
Orchestrate configuration for prebuilt agents and apps
- Orchestrate AI in Dynamics 365 apps for finance and supply chain
- Orchestrate AI in Dynamics 365 apps for customer experience and 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
Deploy AI-powered business solutions (40–45%)
Analyze, monitor, and tune AI-powered business solutions
- Recommend the process and tools required for monitoring agents
- Analyze backlog and user feedback of AI and agent usage
- Apply AI-based tools to analyze and identify issues and perform tuning
- Monitor agent performance and metrics
- Interpret telemetry data for performance and model tuning
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
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 Azure AI services 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
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
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