Microsoft Copilot AI Agent Development Training in USA

Master the design, development, and deployment of intelligent AI agents using Microsoft Copilot and the Power Platform ecosystem. Build enterprise-grade conversational agents that automate workflows, enhance productivity, and deliver measurable business value.

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Microsoft Copilot AI Agent Development Training is a professional training program delivered by ProgNXT, a globally recognized corporate training provider. ProgNXT's Microsoft Copilot AI Agent Development Training course in USA equips professionals with industry-relevant skills through hands-on, instructor-led sessions. Microsoft Copilot AI Agent Development Training equips professionals with the knowledge and skills to design, build, and deploy intelligent AI agents...

Expert Panel

Foundations of Microsoft Copilot and AI Agents

Introduction to Microsoft Copilot and its ecosystem
Understanding AI agents and their business applications
Core components of the Copilot architecture
Microsoft 365 Copilot vs. Copilot Studio vs. custom agents
Licensing and access considerations

Hands-on exercises

Conversational Design and User Experience

Principles of conversational AI design
Designing natural and engaging agent interactions
Persona creation and tone alignment
Handling ambiguity and fallback scenarios
Accessibility and inclusivity in agent design

Hands-on exercises

Building Agents with Microsoft Copilot Studio

Overview of Copilot Studio interface and capabilities
Creating and configuring a custom copilot
Designing conversation flows and topics
Using entities, variables, and slot filling
Implementing multi-turn conversations and context management
Publishing agents to Microsoft Teams and other channels

Hands-on exercises

Extending Microsoft 365 Copilot with Plugins and Connectors

Understanding the Microsoft 365 Copilot extensibility model
Building message extension plugins
Creating API plugins with OpenAPI specifications
Using Microsoft Graph connectors to bring in external data
Leveraging Teams Toolkit for Copilot plugin development

Hands-on exercises

Integrating Agents with Enterprise Data and Systems

Connecting agents to SharePoint, Dataverse, and SQL databases
Using Power Platform connectors for data integration
Implementing authentication and authorization for data access
Working with REST APIs and custom connectors
Real-time data retrieval and caching strategies

Hands-on exercises

Automating Workflows with Power Automate and Copilot

Introduction to Power Automate and its integration with Copilot
Triggering flows from agent conversations
Building approval workflows and notifications
Using AI Builder within Power Automate
Orchestrating complex business processes with agents

Hands-on exercises

Security, Governance, and Responsible AI

Security best practices for AI agents
Data loss prevention and compliance policies
Implementing role-based access control
Responsible AI principles and ethical considerations
Monitoring, auditing, and logging agent activities
Managing agent lifecycle and versioning

Hands-on exercises

Testing, Deployment, and Optimization

Testing strategies for conversational agents
Debugging common issues in Copilot Studio
Performance tuning and optimization techniques
Deployment strategies across environments
Continuous improvement and user feedback loops
Analytics and reporting for agent usage

Hands-on exercises

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: UDV66
14 Hrs
Course Rating 4.9/5
Last Updated: September 2026

Microsoft Copilot AI Agent Development Training equips professionals with the knowledge and skills to design, build, and deploy intelligent AI agents using Microsoft Copilot and the Power Platform ecosystem. The course covers the full lifecycle of agent development, from understanding the Copilot architecture and conversational design principles to integrating agents with enterprise data, automating business workflows, and applying responsible AI practices. Participants will learn how to create custom copilots, extend Microsoft 365 Copilot with plugins and connectors, leverage Copilot Studio for low-code agent creation, and implement robust security, governance, and compliance controls. The training emphasizes practical, hands-on experience with real-world scenarios that reflect enterprise challenges, enabling learners to deliver scalable AI agent solutions that enhance productivity and drive business outcomes.

Basic understanding of cloud computing concepts and Microsoft 365 services
Familiarity with conversational AI or chatbot fundamentals is helpful but not mandatory
Experience with Power Platform or low-code development tools is beneficial
Working knowledge of REST APIs and data integration concepts
Comfortable navigating Microsoft Teams, SharePoint, and Outlook

Design and build custom AI agents using Microsoft Copilot Studio
Extend Microsoft 365 Copilot with plugins, connectors, and Graph API
Integrate agents with enterprise data and line-of-business systems
Automate business processes using Power Automate and Copilot
Apply security, governance, and compliance best practices to AI agents
Implement responsible AI principles in agent development
Test, debug, and optimize agent performance
Deploy and manage agents across the enterprise

Upon completion of this training, participants will be able to design, develop, and deploy intelligent AI agents using Microsoft Copilot and the Power Platform. They will possess the skills to create custom copilots, extend Microsoft 365 Copilot with plugins and connectors, integrate agents with enterprise data, automate workflows, and ensure security and compliance. Participants will be prepared to lead AI agent initiatives within their organizations, delivering scalable solutions that enhance productivity and drive business value while adhering to responsible AI practices.

Microsoft Copilot architecture and core components
Conversational design principles and user experience for AI agents
Copilot Studio for building custom agents
Extending Microsoft 365 Copilot with plugins and connectors
Integrating agents with enterprise data sources and APIs
Automating workflows with Power Automate and Copilot
Security, governance, and compliance for AI agents
Responsible AI principles and ethical considerations
Testing, debugging, and performance optimization
Deployment strategies and lifecycle management

Participants who successfully complete the training will receive an ProgNXT Certification in Microsoft Copilot AI Agent Development Training, validating their expertise in designing, building, and deploying intelligent AI agents using Microsoft Copilot and the Power Platform.

Recognized credential demonstrating proficiency in Microsoft Copilot agent development
Validation of skills in conversational design, integration, automation, and governance
Industry-aligned certification that enhances professional credibility
Access to ProgNXT's alumni network and continued learning resources

Foundations of Microsoft Copilot and AI Agents

Introduction to Microsoft Copilot and its ecosystem
Understanding AI agents and their business applications
Core components of the Copilot architecture
Microsoft 365 Copilot vs. Copilot Studio vs. custom agents
Licensing and access considerations

Hands-on exercises

Conversational Design and User Experience

Principles of conversational AI design
Designing natural and engaging agent interactions
Persona creation and tone alignment
Handling ambiguity and fallback scenarios
Accessibility and inclusivity in agent design

Hands-on exercises

Building Agents with Microsoft Copilot Studio

Overview of Copilot Studio interface and capabilities
Creating and configuring a custom copilot
Designing conversation flows and topics
Using entities, variables, and slot filling
Implementing multi-turn conversations and context management
Publishing agents to Microsoft Teams and other channels

Hands-on exercises

Extending Microsoft 365 Copilot with Plugins and Connectors

Understanding the Microsoft 365 Copilot extensibility model
Building message extension plugins
Creating API plugins with OpenAPI specifications
Using Microsoft Graph connectors to bring in external data
Leveraging Teams Toolkit for Copilot plugin development

Hands-on exercises

Integrating Agents with Enterprise Data and Systems

Connecting agents to SharePoint, Dataverse, and SQL databases
Using Power Platform connectors for data integration
Implementing authentication and authorization for data access
Working with REST APIs and custom connectors
Real-time data retrieval and caching strategies

Hands-on exercises

Automating Workflows with Power Automate and Copilot

Introduction to Power Automate and its integration with Copilot
Triggering flows from agent conversations
Building approval workflows and notifications
Using AI Builder within Power Automate
Orchestrating complex business processes with agents

Hands-on exercises

Security, Governance, and Responsible AI

Security best practices for AI agents
Data loss prevention and compliance policies
Implementing role-based access control
Responsible AI principles and ethical considerations
Monitoring, auditing, and logging agent activities
Managing agent lifecycle and versioning

Hands-on exercises

Testing, Deployment, and Optimization

Testing strategies for conversational agents
Debugging common issues in Copilot Studio
Performance tuning and optimization techniques
Deployment strategies across environments
Continuous improvement and user feedback loops
Analytics and reporting for agent usage

Hands-on exercises

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Target Audience

AI developers and engineers looking to build conversational agents
Power Platform developers and consultants
IT professionals responsible for Microsoft 365 and Copilot deployments
Business analysts and solution architects designing AI-driven workflows
Technical managers overseeing AI and automation initiatives

Evaluation

Participation in hands-on exercises and labs
Completion of a final assessment covering key concepts and practical scenarios
Demonstration of skills through a capstone activity
Evaluation of understanding of security, governance, and responsible AI
Overall engagement and contribution during the training

Refer Course Outline

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Microsoft Copilot AI Agent Development Training in USA