Introduction to agentic AI business solutions
- 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
Analyze requirements for AI-powered business solutions
- 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
Design overall AI strategy for business solutions
- Implement 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 (SLM)
- 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
Evaluate costs and benefits of AI solutions
- Evaluate ROI criteria for AI-powered solutions
- Create 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
Design AI agents for business solutions
- Define 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-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
Design extensibility of AI solutions
- 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
Orchestrate configuration of prebuilt agents and apps
- 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
Monitor, analyze, and tune AI agents
- 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
Manage testing of AI-powered business solutions
- 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
Design ALM process for AI-powered business solutions
- 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
Design responsible AI security, governance, risk management, and compliance
- 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
