Seattle, United States

Generative AI

Microsoft Copilot Studioin Seattle

Microsoft Copilot Studio training in Seattle, United States provides practical skills to build, customize, and deploy AI-powered copilots and intelligent agents. Learn conversational AI, generative AI, topics, prompts, Power Automate…

40 Hours/5 daysLive virtual trainingIntermediate

Classroom training and venue arrangements depend on the availability of a suitable conference hall in Seattle, United States. Dates, seating capacity, facilities and the final venue are confirmed before booking.

Learning in Seattle, United States

City details

Seattle is known for diverse industries, professional networks and internationally connected business communities.

City speciality

Industry, innovation and professional networks

Classroom availability and venue

Classroom training and venue arrangements depend on the availability of a suitable conference hall in Seattle, United States. Dates, seating capacity, facilities and the final venue are confirmed before booking.

Build your understanding

Explore Microsoft Copilot Studio

Microsoft Copilot Studio training in Seattle, United States provides practical skills to build, customize, and deploy AI-powered copilots and intelligent agents. Learn conversational AI, generative AI, topics, prompts, Power Automate, connectors, Dataverse, APIs, and enterprise integrations. This course helps professionals create automated business solutions, enhance productivity, and develop scalable AI agents using Microsoft Copilot Studio for real-world organizational use cases.

View the complete course information

Your learning location

Learning from Seattle

Seattle is known for diverse industries, professional networks and internationally connected business communities.

Make your learning count

City-page course benefits

  • Master Microsoft Copilot Studio – Gain practical skills to create, configure, customize, and manage AI-powered copilots and agents in Seattle, United States.
  • Build Intelligent AI Agents – Learn to develop conversational agents that can understand user intent and provide intelligent, context-aware assistance.
  • Learn Generative AI Capabilities – Explore generative AI features that help copilots create relevant responses and support complex business interactions.
  • Create Conversational Experiences – Design topics, conversation flows, prompts, and responses to deliver engaging AI-powered user experiences.
  • Automate Business Processes – Use Copilot Studio with Power Automate to create intelligent workflows that improve organizational efficiency.
  • Connect Business Data – Learn to integrate copilots with Dataverse, Microsoft 365, APIs, connectors, and other enterprise data sources.
  • Develop Enterprise AI Solutions – Understand how Microsoft Copilot Studio can support customer service, employee assistance, knowledge management, and business operations.
  • Enhance Power Platform Expertise – Strengthen your understanding of Microsoft Power Platform and its role in developing AI-driven business applications.
  • Gain Hands-On Project Experience – Apply Copilot Studio concepts through practical exercises and real-world business scenarios in Seattle, United States.
  • Improve AI Automation Skills – Develop capabilities for implementing intelligent automation and AI-assisted workflows across organizational functions.
  • Prepare for Microsoft AI Careers – Build job-relevant expertise for roles involving Copilot Studio, Power Platform, conversational AI, automation, and enterprise AI.
  • Earn StepMerit Learning Recognition – Demonstrate your Microsoft Copilot Studio skills with StepMerit Learning course completion recognition in Seattle, United States.

Course curriculum

  • Module 1: Introduction to Microsoft Copilot Studio
    • Overview of Microsoft Copilot Studio and its role in building AI-powered agents and workflows.
    • Understanding Copilot Studio capabilities, use cases, interfaces, and the agent development lifecycle in Seattle, United States.
  • Module 2: Copilot Studio Architecture and Agent Concepts
    • Understanding agents, agent harnesses, generative AI, knowledge, actions, and orchestration.
    • Exploring how Copilot Studio agents interact with users, business systems, and enterprise data in Seattle, United States.
  • Module 3: Creating and Configuring AI Agents
    • Creating agents and configuring agent names, descriptions, instructions, and behavioral settings.
    • Understanding agent configuration practices for different business scenarios in Seattle, United States.
  • Module 4: Topics and Conversational Design
    • Creating topics, trigger phrases, conversation paths, variables, and responses.
    • Designing structured conversations and user experiences for AI agents in Seattle, United States.
  • Module 5: Generative AI and Prompting
    • Understanding generative AI capabilities, large language models, prompts, instructions, and AI-generated responses.
    • Creating effective prompts and configuring generative responses for Copilot Studio agents in Seattle, United States.
  • Module 6: Knowledge Sources and Generative Answers
    • Connecting knowledge sources to provide relevant and contextual responses.
    • Configuring generative answers and custom knowledge sources for intelligent agents in Seattle, United States.
  • Module 7: Power Platform and Dataverse Integration
    • Understanding Power Platform capabilities and Dataverse integration for business applications.
    • Connecting agents with organizational data and business processes using Microsoft technologies in Seattle, United States.
  • Module 8: Connectors and External Data Integration
    • Using prebuilt and custom connectors to connect agents with Microsoft and third-party services.
    • Understanding connector-based integration with applications, APIs, and enterprise data sources in Seattle, United States.
  • Module 9: Tools and Actions in Copilot Studio
    • Adding tools that enable agents to retrieve information and perform actions.
    • Configuring tools, inputs, outputs, and action-based interactions for business scenarios in Seattle, United States.
  • Module 10: Power Automate and Agent Flows
    • Using Power Automate and agent flows to automate repetitive and multi-step business processes.
    • Designing triggers, actions, connectors, conditions, and workflow logic in Seattle, United States.
  • Module 11: API and HTTP Integration
    • Working with REST APIs, HTTP requests, JSON, authentication, and external services.
    • Building API-driven agent capabilities for real-time data access and business operations in Seattle, United States.
  • Module 12: Advanced Agent Orchestration
    • Understanding generative orchestration and how agents select appropriate topics, tools, knowledge, and actions.
    • Exploring connected agents and multi-agent approaches for complex business requirements in Seattle, United States.
  • Module 13: Microsoft 365 and Enterprise Integrations
    • Integrating Copilot Studio agents with Microsoft Teams, SharePoint, Microsoft 365, and enterprise applications.
    • Designing practical enterprise scenarios that connect agents with organizational workflows in Seattle, United States.
  • Module 14: Security, Authentication, and Governance
    • Understanding authentication, permissions, data policies, access control, and responsible AI considerations.
    • Applying security and governance practices when deploying enterprise AI agents in Seattle, United States.
  • Module 15: Testing and Evaluation of AI Agents
    • Testing conversations, tools, knowledge responses, workflows, and agent behavior.
    • Creating test scenarios and evaluating agent performance to improve reliability in Seattle, United States.
  • Module 16: Monitoring, Analytics, and Optimization
    • Monitoring agent activity, performance, conversations, errors, and usage patterns.
    • Applying analytics and optimization techniques to improve AI agent effectiveness in Seattle, United States.
  • Module 17: Publishing and Deployment
    • Preparing agents for deployment across supported channels and enterprise environments.
    • Publishing agents to websites, Microsoft Teams, SharePoint, and Microsoft 365 experiences in Seattle, United States.
  • Module 18: Hands-On Microsoft Copilot Studio Capstone Project
    • Design and build a complete AI agent integrating conversational capabilities, knowledge, tools, connectors, and workflows.
    • Test, optimize, secure, and prepare the completed Copilot Studio solution for a real-world business scenario in Seattle, United States.

Exam details

  • Exam Level: Intermediate – Microsoft Copilot Studio
  • Exam Type: Online computer-based examination covering Microsoft Copilot Studio concepts, AI agents, conversational design, generative AI, integrations, workflows, testing, and deployment in Seattle, United States.
  • Number of Questions: 40 questions
  • Exam Duration: 90 minutes
  • Passing Score: 70% (28 out of 40 questions)
  • Question Format: Multiple-choice, scenario-based, and practical knowledge questions.
  • Core Exam Topics: Microsoft Copilot Studio, AI agent creation, agent instructions, topics, generative AI, knowledge sources, connectors, APIs, Power Automate, agent flows, automation, security, testing, evaluation, monitoring, and publishing in Seattle, United States.
  • Practical Assessment: Scenario-based questions may evaluate the learner's ability to select appropriate tools, workflows, integrations, knowledge sources, and agent configurations for business requirements in Seattle, United States.
  • Exam Delivery: Online assessment accessible to learners participating in Microsoft Copilot Studio training in Seattle, United States.
  • Certificate: Learners who achieve the required passing score receive a StepMerit Learning Course Completion Certificate for Microsoft Copilot Studio training.
  • Assessment Focus: The examination evaluates practical understanding of designing, developing, automating, testing, and managing AI agents and workflows using Microsoft Copilot Studio in Seattle, United States.

Plan your learning

Who this course is for

Microsoft Copilot Studio Developers – Professionals who want to build, configure, test, and deploy AI agents and intelligent workflows using Microsoft Copilot Studio in Seattle, United States. AI Agent Developers – Developers interested in creating AI agents that combine generative AI, knowledge, tools, and business actions for real-world applications in Seattle, United States. Conversational AI Professionals – AI professionals who want to design conversational experiences, topics, instructions, and intelligent interactions using Copilot Studio in Seattle, United States. Generative AI Professionals – Learners looking to apply generative AI, prompt engineering, agent orchestration, and AI…

Before you begin

Basic Microsoft 365 Knowledge – Familiarity with Microsoft 365 applications and business productivity tools is recommended for Microsoft Copilot Studio training in Seattle, United States. Generative AI Fundamentals – Basic understanding of Generative AI, Large Language Models (LLMs), AI assistants, and conversational AI is beneficial. Basic Programming Concepts – Familiarity with fundamental programming concepts can help learners understand AI agent logic, integrations, and automation. Microsoft Power Platform Knowledge – Basic awareness of Power Platform, including Power Automate, Power Apps, and Dataverse, is helpful for developing Copilot Studio solutions. API and Integration Fundamentals…

Learning outcomes

Problem Statement – A banking organisation handles large volumes of customer enquiries related to accounts, cards, loans, transactions, banking services, fees, policies, and digital banking processes. Customer-service teams may spend significant time responding to repetitive questions and searching across multiple sources to find accurate information. Traditional support systems may provide limited conversational capabilities, while generic AI solutions may not be connected to the bank's approved knowledge and business workflows. The challenge is to develop an AI-powered banking assistant using Microsoft Copilot Studio that can provide contextual customer support, retrieve approved banking…

Continue exploring

Insights for Microsoft Copilot Studio

Explore this course locally