PL-7008: Create and Extend Custom Copilots in Microsoft Copilot Studio Course
- Duration: 8 Hours
- Exam Voucher: Yes
- Language: English
- Course Delivery : E - Learning Access
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Course Overview
The PL-7008: Create and Extend Custom Copilots in Microsoft Copilot Studio Course delivers focused training for professionals who want to design intelligent conversational experiences using Copilot Studio. Participants gain a structured understanding of how to create copilots that answer questions, automate tasks, and integrate with organizational data and services. The course emphasizes effective conversational design, prompt strategies, and extensibility options to tailor copilots for real business use cases. Hands-on labs reinforce skills such as creating topics, configuring actions, testing responses, and publishing copilots responsibly.
Course Details
- Build practical skills in creating and extending custom copilots with Copilot Studio.
- Learn conversational design and prompt engineering best practices.
- Integrate copilots with data sources and actions for real-world automation.
- Gain hands-on experience testing, refining, and publishing copilots.
- Apply responsible AI principles in copilot design and deployment.
- Establish a strong foundation for AI-assisted app development and automation.
- Ideal for business analysts, power users, developers, and IT professionals.
- Suitable for teams adopting AI-driven productivity and automation solutions.
- Basic familiarity with Microsoft 365 or low-code platforms is beneficial.
- No prerequisite certifications required for course participation.
- Explain Copilot Studio capabilities and architecture.
- Design conversational topics and effective prompts.
- Create and configure custom copilots for business scenarios.
- Extend copilots with actions, integrations, and data connections.
- Test, validate, and publish copilots responsibly.
- Manage and refine copilots based on user feedback and performance.
- Microsoft Copilot Studio Fundamentals: Platform overview and use cases.
- Conversational Design: Topics, triggers, entities, and flows.
- Prompt Engineering: Crafting prompts for accurate and relevant responses.
- Extending Copilots: Actions, connectors, and integrations.
- Testing and Validation: Debugging, tuning, and quality assurance.
- Publishing and Management: Deployment, monitoring, and updates.
- Responsible AI Practices: Accuracy, privacy, and governance considerations.
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