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Course Details
Topic 1. Plan AI-powered business solutions
T1: 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
T2: 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 Microsoft 365 Copilot, Copilot Studio, and Microsoft Foundry
- Develop the use cases for prebuilt agents in the solution
- Define the 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 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
T3: 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
Topic 2: Design AI-powered business solutions
T1: 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 Foundry Tools 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
T2: Design extensibility of AI solutions
- Design AI solutions by 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 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
T3: Orchestrate configuration for prebuilt agents and apps
- Orchestrate AI features in Dynamics 365 apps for finance and supply chain
- Orchestrate AI features 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
Topic 3: Deploy AI-powered business solutions
T1: 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
T2: 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
T3: 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 Microsoft Foundry 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
T4: 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
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
TBD
Hardware: Window or Mac Laptops
Job Roles
- Agentic AI Business Solutions Architect
- AI Solutions Architect
- Microsoft Copilot Studio Consultant
- Dynamics 365 AI Specialist
- Enterprise AI Strategist
- Digital Transformation Consultant
- AI Program Manager
- Power Platform Developer
- Microsoft Foundry Engineer
- Intelligent Automation Specialist
- AI Center of Excellence Lead
- AI Governance and Compliance Manager
- Cloud Solutions Architect (Azure)
- Dynamics 365 Solution Architect
- AI Product Manager
- Business Process Automation Analyst
- AI Security and Risk Analyst
- Enterprise Architect
- AI Prompt Engineer
- Multi-Agent Systems Designer
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