Build AI Agent in Microsoft Copilot Studio

COURSE CONTENT

Build AI Agents In Microsoft Copilot Studio Content

OVERVIEW

Microsoft Copilot Studio is an AI-powered development environment that allows organisations to build, customise, and manage their own generative AI copilots. This platform extends beyond traditional automation tools, integrating seamlessly with Microsoft 365 and Power Platform to create smart, low-code AI assistants that streamline operations, enhance decision-making, and boost productivity.

Participants will learn how to plan, design, deploy, and manage Copilot solutions that integrate across Microsoft Teams, web platforms, and business systems — transforming manual workflows into intelligent automation.

LEARNING OUTCOMES

By the end of this training, participants will be able to:

1.         Understand the core architecture and purpose of Microsoft Copilot Studio.

2.         Build and customise AI copilots tailored to specific business needs.

3.         Integrate copilots seamlessly with Teams, SharePoint, and web applications.

4.         Use low-code tools to automate tasks and enhance decision-making.

5.         Apply best practices for monitoring, optimisation, and scalability.

6.         Avoid common pitfalls in Copilot deployment and ensure data security & compliance.

7.         Identify real-world use cases and develop an implementation roadmap for their organisation.

COURSE MODULES

Module 1: Introduction to Microsoft Copilot Studio

·       Evolution from Power Virtual Agents to Copilot Studio

·       Understanding AI copilots and their role in business transformation

·       Overview of the Microsoft ecosystem (365, Azure, Power Platform)

·       How Copilot Studio integrates with Microsoft AI and data services

·       Hands-on demo: Exploring the Copilot Studio interface and capabilities

Module 2: Business Applications & Challenges Solved by Copilot Studio

·       Identifying operational inefficiencies and repetitive workflows

·       Enhancing customer experience through intelligent automation

·       Leveraging AI to make data-driven decisions

·       Streamlining resource-constrained departments with low-code copilots

·       Case discussion: Analysing business scenarios before AI adoption

Module 3: Building AI Copilots Using the Low-Code Environment

·       Designing copilots with Agent Builder

·       Adding generative AI capabilities using Azure OpenAI integration

·       Connecting to data sources (Dataverse, SharePoint, Power BI)

·       Using pre-built plugins and connectors

·       Practical lab: Building your first Copilot step-by-step

Module 4: Implementing and Publishing Copilots

·       Implementation strategy — from planning to deployment

·       Conducting pilot runs and testing reliability

·       Publishing copilots to Microsoft Teams, web portals, and external sites

·       Integrating copilots via APIs and custom connectors

·       Role-play exercise: Deploying a customer support Copilot

Module 5: Monitoring, Optimising & Maintaining Copilot Performance

·       Using analytics dashboards to track engagement, accuracy, and performance

·       Creating feedback loops and continuous learning mechanisms

·       Updating copilots with new data and refining algorithms

·       Managing user access, compliance, and governance

·       Hands-on: Analysing Copilot performance and refining workflows

Module 6: Best Practices, Security & Real-World Applications

·       Setting clear goals and KPIs for Copilot implementation

·       Avoiding common pitfalls (unclear objectives, lack of training, poor monitoring)

·       Security, privacy, and compliance considerations

·       Real-world applications:

o   Customer service automation

o   Sales intelligence copilots

o   HR onboarding assistants

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Dates options: 9th, 17th October, 7th, 21st November, 5th, 19th December 2025

Duration: 1 day
Venue: ACCEA Malaysia, Amoda Building, K.Lumpur
Training Fee: RM588/pax