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At the end of this module, participants should be able to:

• Define what responsible computing is.
• State the goals and benefits of responsible computing code and data center.
• State the need for responsible computing.
• State the principles of security and privacy.

At the end of this course, participants should be able to:

• Plan and Implement a Cybersecurity Strategy.
• Design Zero Trust Strategy.
• Evaluate Security Strategies.
• Design Security for Infrastructure.
• Develop a Strategy for Data and Applications.
• Recommend Security Solutions and Practices.

• Identify Various Types of Threats.
• Protect Hardware Assets.
• Remediate Risks in Your Environment.
• Create a Microsoft Defender for Endpoint Environment.
• Configure Attack Surface Reduction Rules.
• Perform Actions on a Device.

• Implement an Identity Management Solution.
• Implement an Authentication and Access Management Solutions.
• Implement Access Management for Apps.
• Plan and Implement an Identity Governance Strategy.

• Explain and Use Sensitivity Labels.
• Configure Data Loss Prevention Policies.
• Secure Messages in Office 365.
• Describe the Information Governance Configuration Process.

At the end of this course, participants should be able to:

• Create and configure a Microsoft Sentinel workspace
• Deploy Microsoft Sentinel Content Hub solutions and data connectors
• Configure Microsoft Sentinel Data Collection rules, NRT Analytic rule and Automation
• Perform a simulated attack to validate Analytic and Automation rules

At the end of this course, participants should be able to:

• Understand the purpose and benefits of using Azure NSG to filter network traffic.
• Learn how to create and configure NSGs to enforce access controls for Azure resources.
• Gain insights into how NSGs can be used to allow or deny specific types of traffic based on source, destination, and port.
• Understand how to prioritize NSG rules and leverage Azure NSG flow logs for monitoring and troubleshooting.
• Recognize the role of NSGs in implementing network security best practices in Azure.

At the end of this course, participants should be able to:

• Implement information protection and data loss prevention strategies using Microsoft Purview.
• Classify and label sensitive data, enforce data loss prevention policies, and monitor data protection measures for compliance and security within organizational environments.
• Safeguard organizational data effectively using Microsoft Purview.

At the end of this course, the participants will learn about:

• Generative AI fundamentals and the way it enables the creation of copilots supporting security tasks.
• Basic terminology about the way Copilot processes prompts and enable the solutions.
• Core Microsoft Copilot features for Security, including plugins, promptbooks, and exporting and sharing information.
• Embedded Microsoft Copilot experiences for Security within other Microsoft security products.
• Applying concepts in real-world cases to improve security operations and incident responses.