This unit guides students through finalizing, publishing, monitoring, and optimizing Microsoft Copilot Studio agents. Topics include configuring actions and instructions, testing and publishing workflows, integrating Azure AI Search, analyzing agent analytics, optimizing for cost and user-focused performance, and converting Power Automate flows to agent flows.
Learning Objectives
- Analyze agent analytics and monitoring data to identify performance bottlenecks, usage patterns, and cost drivers
- Apply configuration and testing best practices to set up Create Lead actions, agent instructions, Azure AI Search integration, and publish a production-ready agent
- Demonstrate cost-optimization and user-focused performance techniques to balance latency, accuracy, and API usage
- Evaluate and convert existing Power Automate flows into Agent Flows and implement monitoring strategies for deployed agents
Curriculum
- 1 Section
- 17 Lessons
- 30 hours
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- Unit 4 — Agent Deployment and Optimization17
- 1.1Configuring the Create Lead Action20 mins
- 1.2Configuring Your Agent Instructions20 mins
- 1.3Testing Your Agent20 mins
- 1.4Publishing and Monitoring20 mins
- 1.5Conclusion20 mins
- 1.6Prerequisites20 mins
- 1.7Agent Analytics20 mins
- 1.8Optimizing Your Agent for Cost20 mins
- 1.9Enhancing User-Focused Agent Performance20 mins
- 1.10Conclusion20 mins
- 1.11Azure AI Search20 mins
- 1.12Configuring Your Agent for Azure AI Search20 mins
- 1.13Testing Your Agent20 mins
- 1.14Conclusion20 mins
- 1.15Creating a New Agent Flow20 mins
- 1.16Converting an Existing Power Automate Flow to an Agent Flow20 mins
- 1.17Conclusion20 mins
Instructor
Free
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