
In this course, you’ll learn how to build complete, production-ready AI agents with Microsoft Copilot Studio. Explore the new and Classic experiences, configure instructions, knowledge, tools, skills, memory, workflows, and connected agents, then test, evaluate, publish, and understand licensing .
Compare the new copilot Studio UI and classic UI, explore agents vs. workflows, understand Github Copilot harnesse & Standard harnesse and Copilot Credits. Choose Which Suits you Best .
Learn how to create and configure an AI Agent in the new Copilot Studio. Follow step-by-step guidance to write effective agent instructions, select models, configure settings, test responses
Learn how to ground Copilot Studio Agents with PDFs, SharePoint, and Dataverse. Configure knowledge sources and orchestration to select the best knowledge Sources.
Learn how to equip Copilot Studio Agents with tools to take actions using Connectors, MCP, and Workflows. Configure tools, guide orchestration, access Dataverse, send emails, create files, and automate business processes.
Learn how to create reusable & Shareable Skills in Copilot Studio, write effective instructions, and use orchestration to invoke the right Skill and tools for specific tasks.
Learn how to enable and configure Connected Agents in Copilot Studio, route requests to specialized agents, and build modular, reusable, and scalable multi-agent solutions.
Learn how to configure and use Memory in Copilot Studio to personalize conversations, retain user preferences, manage privacy, and review, update, or delete stored memories.
Learn how to evaluate Copilot Studio Agents using repeatable test conversations, automated AI-based evaluations, scoring, and failure analysis to continuously improve instructions, knowledge, tools, and skills.
Learn how to Deploy Publish Copilot Studio Agents, Versioning, configure channels, and share agents . (Development to Production ).Also Learn how to monitor Copilot Studio Agents using key performance and usage metrics.
Discover how Agents differ from Workflows in New Copilot studio, and explore the Workflow we’ll build for our specific use case.
In this chapter, you will learn how to create and configure workflows in Microsoft Copilot Studio. We will explore the key workflow components, including Classify Step, Agent Step and Connector Step.
In this chapter, you will learn how to create and configure workflows in Microsoft Copilot Studio using the Microsoft 365 Copilot Step and SharePoint Connector.
In this chapter, you will learn how to use the Human Review Step to incorporate human oversight and create Inline Agents in Workflows.
In this chapter, you will learn how to call workflows as tools from an Agent in Microsoft Copilot Studio.
This lecture covers all Microsoft Copilot Studio licensing options, including Prepaid, Postpaid, and Microsoft 365 Copilot licenses.
This lecture covers Microsoft 365 Copilot license options that allow you to build and test agents.
Discover how Copilot Studio lets you build conversational copilots with natural language or a GUI, configure topics and dialogue trees, and leverage generative AI and public websites for answers.
Discover how generative answers in Copilot Studio reduce topic setup and handle unknown queries with boosted conversation and fallback URLs. Learn to configure topic-level data sources and live-agent escalation.
Learn to generate answers with Bing custom search inside Copilot Studio by registering a public URL, customizing domain and page filters, and refining results with a configuration ID.
Learn to generate accurate, real-time answers from uploaded documents in Copilot Studio by indexing PDFs, Excel, PowerPoint, and Word files in Dataverse and citing sources.
Configure Copilot Studio to generate answers from SharePoint content and PDF sources by enabling Azure authentication, registering an app with client ID and secret, and defining scoped permissions.
Create a Copilot in Copilot Studio and connect it to Dataverse tables. Test prompts, verify results, and publish the Copilot to Microsoft Teams.
Explore how Copilot actions extend your assistant with generative actions and topics, including creating a custom copilot, defining weather information actions, and using web grounding or the MSN weather connector.
Learn to build a custom copilot action that lists RSS feed items from CNN, override inputs with values, and render results with adaptive or inductive cards for weather and news.
Create a flow type action in Copilot Studio to update enterprise data from Microsoft 365 Copilot, using a sales table in Excel on SharePoint or OneDrive.
Calling a Agent from Another Agent .
Learn how Copilot agents connect to your organization and data sources, and how to create, customize, and share them—from readymade options to Copilot Studio for advanced grounding and actions.
Explore the co-pilot researcher agent and its deep search using OpenAI O3 reasoning to collect, analyze, and cite enterprise data—emails, chats, meetings, documents, and web, and generate reports with citations.
Discover how the analyst agent in Microsoft 365 Copilot acts as a virtual data scientist, extracting insights from Excel and CSV files using Python code and advanced reasoning.
Discover agent mode in Excel, an AI-powered assistant that handles workbook manipulation and data creation via natural language. Harness multi-step reasoning and contextual awareness to reveal visuals and insights.
Using Natural Language Create Automation Workflows using Microsoft 365 Copilot Workflow Agent.
App Builder Agent let's you create Basic interactive Apps by Describing in natural Language.
Welcome to the Microsoft Copilot Studio Latest Course — Build powerful AI Agents without traditional coding
Learn how to use Microsoft Copilot Studio to design, build, test, evaluate, and publish Agents using a no-code approach.
This course is also helpful for learners preparing for AB-620: Designing and Building Integrated AI Solutions in Copilot Studio
What You'll Learn
* Build AI Agents step by step using **Microsoft Copilot Studio**
* Create effective **Agent Instructions and Skills**
* Add **Knowledge Sources** using Dataverse, SharePoint, and Documents
* Use **Tools, Connectors, MCP, and Workflows**
* Integrate **Power Automate** with Copilot Studio
* Build and orchestrate **Connected & Multi-Agent solutions**
* Understand **Agent Memory and Context**
* Explore **Generative AI and Deep Reasoning**
* Test, evaluate, troubleshoot, publish, and share your Agents
* Build practical **Agentic AI solutions**
* Licensing
Who Is This Course For?
This course is ideal for **beginners, business users, Power Platform professionals, developers, consultants, and anyone interested in AI Agents and Agentic AI**.
You don't need to be a developer or data scientist. With Copilot Studio's **no-code/low-code interface**, you can build powerful AI solutions using natural language and visual tools.
Before building an Agent from scratch, you'll also learn how to identify when an existing or ready-made Agent may already meet your requirements.
Let's Start Journey