This three-day course provides a comprehensive exploration of designing, building, integrating, and managing AI agent solutions using Microsoft Copilot Studio, with a particular emphasis on the GitHub Copilot harness. Learners will gain practical experience in creating and configuring agents through natural-language instructions, knowledge sources, tools, and reusable skills. The course covers extending agent capabilities via workflows and connections to enterprise systems, as well as enabling collaboration between multiple agents to complete business tasks. Additional topics include testing and evaluating agent behavior, publishing agents, monitoring performance, and understanding the security, governance, and consumption considerations involved in deploying agents within an organization. Hands-on exercises are integrated throughout, allowing learners to configure and connect agents using the low-code Copilot Studio environment.
Prerequisites
Participants should have:
- Practical experience creating, configuring, and testing agents in Microsoft Copilot Studio
- Basic understanding of generative AI and how AI agents use instructions, knowledge sources, and tools
- Familiarity with Microsoft Power Platform concepts, including environments, solutions, and connectors
- Basic familiarity with workflow automation, such as Power Automate or Copilot Studio workflows
- Confidence using Microsoft 365 applications and navigating cloud-based configuration interfaces
- An understanding of authentication, APIs, and structured data is beneficial but not essential
- Programming experience is not required
Target audience
- Power Platform makers interested in expanding their skills into integrated AI agent solutions
- Copilot Studio makers with experience creating agents who wish to explore more advanced capabilities
- Functional consultants and technical business analysts responsible for designing and implementing AI-assisted business processes
- Solution designers and technical specialists aiming to understand multi-agent solutions, agent integration, and operational management
























