MS-4014: Build a foundation to build AI agents and extend Microsoft 365 Copilot
Discover how to extend Microsoft 365 Copilot by integrating plugins, Graph connectors, and declarative agents, enabling tailored solutions for enterprise needs.
Instructor
MS-4014: Build a foundation to build AI agents and extend Microsoft 365 Copilot Training
MS-4014: Build a foundation to build AI agents and extend Microsoft 365 Copilot
MS-4014: Build a Foundation to Extend Microsoft 365 Copilot course empowers learners to extend and customize Microsoft 365 Copilot capabilities. Gain insights into Copilot’s architecture, extensibility fundamentals, and development paths using plugins, Microsoft Graph connectors, and agents. Learn to integrate enterprise data, configure declarative agents, and ensure secure, efficient solutions. This course equips you with the skills to tailor Copilot for your business needs using pro-code or low-code solutions.
Target Audience
Microsoft 365 Administrator
Prerequisites Required:
Familiarity with Microsoft 365 Copilot
Basic knowledge of generative AI concepts (agent, model, orchestration, etc.)
Familiarity with core Microsoft Cloud platforms (Microsoft 365, Power Platform, and Azure)
Course Objectives
Define AI agents and explain their business value.
Identify core use cases and components of AI agent solutions.
Explore Microsoft 365 Copilot and Copilot Chat capabilities.
Compare extensibility options like connectors, declarative, and custom agents.
Understand development tools for building and deploying AI agents.
Evaluate the best AI agent development path for your organization.
Course Outline
1) Introduction to developing AI agents
Define AI agents
Explain the business value of AI agents
Identify common use cases for AI agents
Define the core components of AI agents
2) Introduction to Microsoft AI agent solutions
Identify core use cases for the out-of-the-box capabilities of Microsoft 365 Copilot, Copilot Chat, and first-party agents
Describe options for customizing and extending Microsoft 365 Copilot
Identify scenarios where building fully custom AI agents or generative AI applications is appropriate
Identify the key Microsoft development tools available for designing, building, extending, and deploying AI agents
Evaluate which Microsoft AI agent path best fits a given scenario
3) Choose the best Microsoft 365 Copilot extensibility path for your scenario
Identify the different extensibility options available for Microsoft 365 Copilot
Compare the strengths and limitations of Copilot connectors, declarative agents, and custom agents
Evaluate which extensibility approach best fits a given business scenario
Understand the technical and organizational requirements for extending Microsoft 365 Copilot
4) Choose a custom AI agent development path
Identify the core Microsoft tools and services available for building custom AI agents and generative AI applications
Compare the capabilities, strengths, and trade-offs of the available custom agent solutions
Evaluate which development approach aligns best with specific business, technical, and user experience requirements
MS-4014: Build a Foundation to Extend Microsoft 365 Copilot course empowers learners to extend and customize Microsoft 365 Copilot capabilities. Gain insights into Copilot’s architecture, extensibility fundamentals, and development paths using plugins, Microsoft Graph connectors, and agents. Learn to integrate enterprise data, configure declarative agents, and ensure secure, efficient solutions. This course equips you with the skills to tailor Copilot for your business needs using pro-code or low-code solutions.
Target Audience
Microsoft 365 Administrator
Prerequisites Required:
Familiarity with Microsoft 365 Copilot
Basic knowledge of generative AI concepts (agent, model, orchestration, etc.)
Familiarity with core Microsoft Cloud platforms (Microsoft 365, Power Platform, and Azure)
Course Objectives
Define AI agents and explain their business value.
Identify core use cases and components of AI agent solutions.
Explore Microsoft 365 Copilot and Copilot Chat capabilities.
Compare extensibility options like connectors, declarative, and custom agents.
Understand development tools for building and deploying AI agents.
Evaluate the best AI agent development path for your organization.
Course Outline
1) Introduction to developing AI agents
Define AI agents
Explain the business value of AI agents
Identify common use cases for AI agents
Define the core components of AI agents
2) Introduction to Microsoft AI agent solutions
Identify core use cases for the out-of-the-box capabilities of Microsoft 365 Copilot, Copilot Chat, and first-party agents
Describe options for customizing and extending Microsoft 365 Copilot
Identify scenarios where building fully custom AI agents or generative AI applications is appropriate
Identify the key Microsoft development tools available for designing, building, extending, and deploying AI agents
Evaluate which Microsoft AI agent path best fits a given scenario
3) Choose the best Microsoft 365 Copilot extensibility path for your scenario
Identify the different extensibility options available for Microsoft 365 Copilot
Compare the strengths and limitations of Copilot connectors, declarative agents, and custom agents
Evaluate which extensibility approach best fits a given business scenario
Understand the technical and organizational requirements for extending Microsoft 365 Copilot
4) Choose a custom AI agent development path
Identify the core Microsoft tools and services available for building custom AI agents and generative AI applications
Compare the capabilities, strengths, and trade-offs of the available custom agent solutions
Evaluate which development approach aligns best with specific business, technical, and user experience requirements
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Live Online Training (Duration : 4 Hours)
