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Extending M365 Copilot (Agents, Copilot Studio, Ai Studio)

Posted By: ELK1nG
Extending M365 Copilot (Agents, Copilot Studio, Ai Studio)

Extending M365 Copilot (Agents, Copilot Studio, Ai Studio)
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.16 GB | Duration: 4h 43m

Agents with Copilot Studio, Azure AI Studio, Connectors and Actions - use all to extend copilot for Microsoft 365

What you'll learn

Extending M365 Copilot With Agents

Extending M365 Copilot With Microsoft Copilot Studio

Extending M365 Copilot With Azure AI Studio

Connectors and Actions in Microsoft Copilot Studio

Prompt Flow in Azure AI Studio

Requirements

No Prior programming experience required. You will learn everything you need to know

Basic Understanding of the Web required

Description

Unlock the full potential of Microsoft 365 Copilot and revolutionize how your organization operates with Copilot Studio and Azure AI Studio. This course is designed to empower you to go beyond individual productivity and transform Microsoft 365 Copilot into a business-critical tool that drives efficiency across departments.Microsoft 365 Copilot already enhances personal productivity through tools like Word, Excel, PowerPoint, Teams, and Outlook. However, to truly maximize your investment—often as high as $80 per user per month—you need more than individual assistance. This course will teach you how to extend Copilot’s capabilities to create autonomous agents tailored to your business needs.Through Copilot Studio, you’ll learn to build agents that streamline HR processes, manage marketing campaigns, improve customer service, and handle finance tasks autonomously. These agents act as virtual employees, capable of completing complex tasks end-to-end. You’ll also discover how to integrate connectors and plugins to enhance their functionality further.We’ll also leverage Azure AI Studio, which adds advanced AI capabilities to your Copilot agents. Learn how to use natural language processing, custom AI models, and analytics to build powerful, data-driven solutions for your organization.By the end of this course, you’ll be equipped to:Maximize the ROI of your Microsoft 365 Copilot licenses.Build and deploy customized Copilot agents using Copilot Studio.Integrate Azure AI Studio to unlock advanced capabilities.Whether you’re a business leader, IT professional, or enthusiast, this course will provide the skills you need to redefine productivity in your workplace. Enroll now and start transforming how your organization operates!

Overview

Section 1: Introduction

Lecture 1 Course Introduction

Section 2: Important concepts

Lecture 2 Generative AI and copilots

Lecture 3 Extending Copilot for M365

Lecture 4 Copilot v/s agents v/s actions

Lecture 5 Azure AI Studio v/s Microsoft Copilot Studio

Section 3: Extending M365 with Microsoft Copilot Studio

Lecture 6 Copilot Studio: In a Nutshell

Lecture 7 Free Trial License for Copilot Studio

Lecture 8 Lab: Copilot Studio Walkthrough (Hands-On Lab)

Lecture 9 Generative AI Orchestrator/Planner for Microsoft Copilot Studio

Lecture 10 What are Power Automate Flows

Lecture 11 What are Custom Prompt Actions

Lecture 12 What are Conversational Actions

Lecture 13 What are Data Connectors

Lecture 14 Lab: Creating Web Grounding Standalone Agent (Hands-On Lab)

Lecture 15 Lab: Creating a Sharepoint Agent for Copilot for M365 (Hands-On Lab)

Lecture 16 Lab: Adding MSN Weather Connector as an Action to our Agent (Hands-On Lab)

Lecture 17 Lab: Adding Custom Prompt Action to Agent (Hands-On Lab)

Lecture 18 Lab: Creating a Conversational Action to Extend M365 Copilot (Hands-On Lab)

Lecture 19 Introduction to AI Builder

Lecture 20 Lab: Sentiment Analysis Flow using AI Builder (Hands-On Lab)

Section 4: Extending M365 Copilot with Azure AI Foundry (Formerly Azure AI Studio)

Lecture 21 What is Azure AI Studio/Azure AI Foundry?

Lecture 22 What is Microsoft Prompt Flow?

Lecture 23 Understanding Azure AI Studio Architecture

Lecture 24 Lab: Provisioning Azure AI Hub (Hands-On Lab)

Lecture 25 Lab: Deploying and Connecting Azure OpenAI (Hands-On Lab)

Lecture 26 Lab: Creating Web URL Classification Prompt Flow (Hands-On Lab)

Lecture 27 Lab: Publishing and Testing our Prompt Flow (Hands-On Lab)

Lecture 28 Lab: Integrating Prompt Flow with Agent (Hands-On Lab)

People looking to extend M365 copilot experience for "enhanced ROI",People looking to extend M365 copilot experience for "Departmental Productivity",GenAI enthusiasts,Citizen Developers,Pro-Code Developers,AI enthusiasts