Copilot Studio: Advanced Integration and Automation Training Course

Introduction to Copilot Studio and Integration Patterns <\p>

• Overview of Copilot Studio features and architecture <\li>
• Key integration points with enterprise applications, data sources, and the Power Platform <\li>
• Security and governance factors for AI assistants in corporate settings <\li> <\ul>

  Secure SQL Execution via Copilot <\p>

  • Creating safe query patterns and limiting data exposure <\li>
  • Establishing connections to Azure SQL / SQL Server using role-based access control <\li>
  • Utilizing parameterized queries to mitigate injection risks <\li>
  • Hands-on lab: Construct a Copilot flow to query HR data and retrieve masked results <\li> <\ul>

    Automating Recruitment and Hiring Workflows <\p>

    • Typical recruitment automation use cases (CV screening, interview scheduling, candidate status tracking) <\li>
    • Designing conversational user experiences to gather and verify candidate information <\li>
    • Coordinating multi-step processes and approvals using Copilot logic <\li>
    • Hands-on lab: Develop a prototype for an end-to-end automated hiring assistant <\li> <\ul>

      Triggering and Orchestrating Power Automate Flows <\p>

      • Strategies for invoking Power Automate from Copilot and retrieving status updates <\li>
      • Transmitting structured data and managing asynchronous tasks <\li>
      • Implementing error handling, retries, and idempotency mechanisms <\li>
      • Hands-on lab: Integrate Copilot with Power Automate to execute onboarding processes <\li> <\ul>

        Testing, Monitoring, and Governance <\p>

        • Methodologies for testing copilots: unit, integration, and end-to-end testing <\li>
        • Tracking usage, performance, and audit logs for compliance purposes <\li>
        • Operational checklists for deploying copilots to production environments <\li> <\ul>

          Advanced Topics and Real-World Patterns <\p>

          • Hybrid architectures: Managing on-premises data with cloud-based copilots and data residency requirements <\li>
          • Scaling copilots, addressing multi-tenant considerations, and localization <\li>
          • Case studies and deployment playbooks tailored for HR-focused copilots <\li> <\ul>

            Summary and Next Steps <\p>