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Apply your skills in Google Cloud console

Roni Setyawan

Member since 2025

Implement Cloud Security Fundamentals on Google Cloud Earned Oct 28, 2025 EDT
Security & Identity Fundamentals Earned Oct 28, 2025 EDT
Security Best Practices in Google Cloud Earned Oct 27, 2025 EDT
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
[DEPRECATED] 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 Sep 15, 2025 EDT

Complete the intermediate Implement Cloud Security Fundamentals on Google Cloud skill badge course to demonstrate skills in the following: creating and assigning roles with Identity and Access Management (IAM); creating and managing service accounts; enabling private connectivity across virtual private cloud (VPC) networks; restricting application access using Identity-Aware Proxy; managing keys and encrypted data using Cloud Key Management Service (KMS); and creating a private Kubernetes cluster.

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Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this fundamental-level quest, you will get hands-on practice with Google Cloud’s Identity and Access Management (IAM) service, which is the go-to for managing user and virtual machine accounts. You will get experience with network security by provisioning VPCs and VPNs, and learn what tools are available for security threat and data loss protections.

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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 Storage access control technologies, Security Keys, Customer-Supplied Encryption Keys, API access controls, scoping, shielded VMs, encryption, and signed URLs. It also covers securing Kubernetes environments.

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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 Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive 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 baseline skills needed for the Google 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.

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