The Build and Extend AI Powered Copilot with Copilot Studio DW(102) course is a dynamic three-day program designed to equip IT professionals with hands-on skills to design, build, and enhance AI-powered copilots using Microsoft Copilot Studio. This practical training enables participants to leverage Generative AI to deliver intelligent, interactive solutions that elevate user experiences and drive business innovation.

Learners will engage in real-world labs to build applications like a Real Estate copilot, while exploring advanced features such as voice capabilities, performance analysis, and security best practices.

The course covers key areas such as:

• Microsoft Copilot Ecosystem Overview: Gain an understanding of the Copilot ecosystem, its tools, and how it integrates with Microsoft AI and the Power Platform.
• Copilot Creation and Management: Learn to create, configure, and manage copilots using the Copilot Studio interface and its low-code/no-code tools.
• Topic Design and Dialogue Flow: Develop structured conversational flows by designing effective topics and managing user interactions.
• Testing and Publishing: Implement testing strategies, publish copilots for real-world use, and manage versions for iterative improvements.
• Entities, Variables, and Generative AI Integration: Work with data-driven components such as entities and variables, and enhance interactions using generative AI capabilities.
• Data Connectivity and Actions: Configure copilots to connect with external data sources and perform actions through Power Automate and API integrations.
• Voice and Advanced Capabilities: Build voice-enabled copilots and integrate advanced features to support natural, multimodal user experiences.
• Security, Governance, and Responsible AI: Apply governance practices, ensure security compliance, and implement responsible AI guidelines during copilot development.
• Performance Monitoring and Optimization: Use built-in analytics tools to monitor copilot usage, measure effectiveness, and iterate for continuous improvement.
• Practical Labs: Gain hands-on experience with labs focused on real-world business scenarios, such as a Real Estate use case, to reinforce learning and build practical skills.

Course Prerequisites

To ensure success in this course, participants should meet the following prerequisites:

• Familiarity with Microsoft Power Platform or similar low-code development tools
• Basic understanding of conversational interfaces and user interaction flows
• General knowledge of cloud computing and Microsoft 365
• Willingness to engage in hands-on labs and exercises

No prior experience with Copilot Studio is required, making the course accessible to a wide range of IT professionals interested in AI-powered solutions.

Target Audience

The Build and Extend AI Powered Copilot with Copilot Studio DW(102) course is ideal for IT professionals and business leaders seeking to implement intelligent copilots using Microsoft technologies, including:

• Software Developers
• AI/ML Engineers
• Data Scientists
• IT Project Managers
• Business Analysts
• Technical Architects
• Product Managers
• UX Designers
• IT Consultants
• Cloud Solutions Architects
• Digital Transformation Specialists
• System Integrators
• Support Engineers
• Educational Technology Trainers
• Technology Enthusiasts

Why Choose us

⭢ Live Online Training (Duration : 24 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

After completing the Build and Extend AI Powered Copilot with Copilot Studio DW(102) course, learners will be able to:

• Understand the Microsoft Copilot ecosystem and AI development tooling
• Create, manage, and publish copilots using Copilot Studio
• Design and implement effective conversational topics and user flows
• Integrate generative AI features and configure data sources for intelligent answers
• Enhance copilots with Power Platform tools and external system actions
• Build and deploy voice-enabled copilots for immersive experiences
• Apply governance, security, and responsible AI practices in copilot development
• Monitor performance metrics and continuously improve user interactions
• Leverage real-world labs to apply knowledge in practical business contexts