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In this module, you’ll learn about some design principles and best practices that you can use when designing agents with Microsoft Copilot Studio.

Learning objectives

In this module, you’ll:

• Examine techniques for planning agents.
• Explore design elements for creating successful agents.
• Review the different conversation types and why they’re important.
• Examine best practices for creating good trigger phrases.
• Explore different techniques for building conversational agents.
• Review how to use analytics to improve your agent performance

it support

Microsoft Copilot Studio connects with Power Automate, and it can pass the variables from user’s responses and retrieve data from several different data sources, perform complex operations on that data, and then return to Microsoft Copilot Studio to share that data with the user. The ability to operate on and retrieve data from almost any data source that’s accessible through an API is one of the most valuable benefits of Microsoft Copilot Studio.

Learning objectives

This module explains the concepts:

• Learn about the basics of Power Automate.
• Use Microsoft Copilot Studio to request data from another data source and return the data in a conversational dialog with a customer or user.

it consulting

Microsoft Copilot Studio allows organizations to quickly create agents based on business scenarios their customers and employees can easily interact with as needed. This module examines the components available for managing and administrating agents.

Learning objectives

This module explains how to:

• Create and configure a new agent.
• Set permissions and security.
• Use topics and entities.
• Import and export agents.
• Authenticate users.

infrastructure-services

This module teaches you how to enhance your agent with Copilot Studio by integrating external data, selecting intent recognition models, enabling Generative AI orchestration, and allowing the agent to use its own general knowledge. Knowledge source integrations allow the agent to access and utilize external and internal data, enriching its responses with relevant and up-to-date information. Intent recognition models help the agent understand user goals, while Generative AI orchestration dynamically determines responses based on user input, making the agent more versatile and effective.

Learning objectives

This module explains the concepts:

• Learn about the basics of Power Automate.
• Use Microsoft Copilot Studio to enable Generative AI orchestration.

Learn the fundamentals of message and question nodes, become familiar with the system topics, and learn how to use variables.

Learning objectives

In this module, you’ll:

• Learn the fundamentals of the message and question nodes.
• Become familiar with the system topics and their behavior.
• Discover the fundamentals of entities and slot filling.
• Learn how to use variables in Microsoft Copilot Studio.
• Explore the extensibility capability, including Power Fx and extended node properties.

financial

Microsoft Copilot Studio uses topics, which are like small conversations related to a specific subject. A Microsoft Copilot Studio agent typically includes many topics. This module introduces you to the basic principles of topics such as trigger phrases and conversation paths and how to create them.

Learning objectives

This module explains how to:

• Use topics to create and manage conversation paths in an agent.
• Work with topic triggers and conversation nodes.
• Add branching to a topic.
• Use system topics and create topics from content.
• Set up fall-back topics to handle unrecognized user input

feature

In this module, you begin building your Microsoft Power Platform solution, starting with a basic agent.

Learning objectives

This module explains how to:

• Connect the Generative answers feature in Microsoft Copilot Studio with your website so you can start asking questions.
• Discover common goals for agent projects and how to consider the fundamentals of business value when implementing agents.
• Learn about the core components to consider first when building agents, including topics, sub topics, and customer phrases.
• Learn how to expand on topic information and determine if topics are single or multi turn or if they require specific data to better serve customer needs.

erp

This module describes how to create agents by using Microsoft Copilot Studio.

Learning objectives

This module explains the following concepts:

• Microsoft Copilot Studio
• Generative AI features
• How to build an agent by using Microsoft Copilot Studio
• Deploy an agent

digital transformation

Learn how to create your first agent in Microsoft Copilot Studio.

Learning objectives

In this module, you’ll:

• Create a new agent by using the unified authoring canvas in Microsoft Copilot Studio.
• Create your first topic and add content to the topic, including rich text responses and more.
• Use the Copilot feature in Microsoft Copilot Studio to create a topic with AI.
• Learn how to test your agent in Microsoft Copilot Studio.
• Publish your agent to a demo website.

data analytics

Microsoft Copilot Studio allows organizations to quickly create agents based on business scenarios their customers and employees can easily interact with as needed. Items like topics can be easily created by subject matter experts with no coding required, to create intelligent conversation paths to help guide individuals down as they interact with the agents. The agent authoring functionality provided by Microsoft Copilot Studio provides a great starting point for organizations to build intelligent agents.

Learning objectives

In this module, you will:

• Understand entities and custom entities.
• Learn about variables across topics.

cyber-security