In this one-day course students learn about Microsoft Copilot for Security, an AI-powered security analysis tool that enables analysts to process security signals and respond to threats at a machine speed, and the AI concepts upon which it's built.

• Security Engineers
• Security Operations Analysts

• Working knowledge of security operations and incident response
• Working knowledge of Microsoft security products and services

After completing this course, students will be able to:

• Understand the kinds of solutions AI can make possible and considerations for responsible AI practices
• Understand generative AI's place in the development of artificial intelligence
• Understand large language models and their role in intelligent applications
• Describe how Azure OpenAI supports intelligent application creation
• Describe examples of copilots and good prompts
• Describe an overall process for responsible generative AI solution development
• Identify and prioritise potential harms relevant to a generative AI solution
• Mitigate harms in a generative AI solution
• Prepare to deploy and operate a generative AI solution responsibly
• Describe the terminology of Microsoft Copilot for Security
• Describe how Microsoft Copilot for Security processes prompt requests
• Describe the elements of an effective prompt
• Describe how to enable Microsoft Copilot for Security
• Describe the features available in the standalone Copilot experience
• Describe the plugins available in Copilot
• Describe custom promptbooks
• Describe knowledge base connections
• Describe Microsoft Copilot in Microsoft Defender XDR, Purview, Entra and Intune

• Fundamental AI Concepts
• Fundamentals of Generative AI
• Fundamentals of Responsible Generative AI
• Describe Microsoft Copilot for Security
• Describe the core features of Microsoft Copilot for Security
• Describe the embedded experiences of Microsoft Copilot for Security