Gemini for Security Engineers
Earned oct. 7, 2025 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned sept. 15, 2025 EDT
In this self-paced training course, participants learn mitigations for attacks at many points in a Google Cloud-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use. They also learn about the Security Command Center, cloud logging and audit logging, and using Forseti to view overall compliance with your organization's security policies.
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This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager, IAM, Virtual Private Cloud firewalls, Cloud Load Balancing, Cloud Peering, Cloud Interconnect, and VPC Service Controls.
This is the first course of the Security in Google Cloud series. After completing this course, enroll in the Security Best Practices in Google Cloud course.
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This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.
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This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.
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This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.
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This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.
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This course will familiarize you with the core functionality of Chronicle, including the user interface, connections, and settings.
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Take the next steps in working with the Chronicle Security Operations Platform. Build on fundamental knowledge to go deeper on cusotmization and tuning.
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Learn the technical aspects you need to know about Chronicle and how it can help you detect and action threats.
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This course covers the basline skills needed for the Chronicle Security Operations Platform. The modules will cover specific actions and features that security engineers should become familiar with to start using the toolset.
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Learn about the fundamental features of Security Command Center on Google Cloud. Spend time in this course to understand assets, detection and compliance. Security Command Center is a key part of your Google Cloud security journey, complete these modules and quiz to earn a completion badge.
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This course helps you understand how to use Chronicle to properly handle security incidents.
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This course helps developers customize Chronicle and augment its abilities with third party integrations.
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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps you secure your cloud environment and resources. You learn how to deploy example workloads into an environment in Google Cloud, identify security misconfigurations with Gemini, and remediate security misconfigurations with Gemini. Using a hands-on lab, you experience how Gemini improves your cloud security posture.
Duet AI was renamed to Gemini, our next-generation model.
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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
Mitigating Security Vulnerabilities on Google Cloud
Earned oct. 23, 2025 EDT
Managing Security in Google Cloud
Earned oct. 23, 2025 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned oct. 22, 2025 EDT
Responsible AI for Developers: Privacy & Safety
Earned oct. 21, 2025 EDT
Responsible AI for Developers: Fairness & Bias
Earned oct. 21, 2025 EDT
Responsible AI for Developers: Interpretability & Transparency
Earned oct. 20, 2025 EDT
SOAR Fundamentals
Earned oct. 20, 2025 EDT
Google Security Operations - Deep Dive
Earned oct. 20, 2025 EDT
Security Practices with Google Security Operations - SIEM
Earned oct. 19, 2025 EDT
Google Security Operations - Fundamentals
Earned oct. 16, 2025 EDT
Security Command Center Fundamentals
Earned oct. 14, 2025 EDT
Google Security Operations - SOAR Analyst
Earned oct. 13, 2025 EDT
Google Security Operations - SOAR Developer
Earned oct. 9, 2025 EDT
Gemini for Security Engineers
Earned oct. 7, 2025 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned sept. 15, 2025 EDT