Security & Compliance on Google Cloud

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In today's interconnected world, network security is more critical than ever. This Specialization from Google provides you with foundational knowledge of how networks function and how to protect them from attacks. You’ll dive into core concepts like network architecture, protocols, and how to defend against modern cyber threats. You’ll also learn how to utilize powerful tools such as Wireshark, tcpdump, Splunk, and Google SecOps. Google experts will guide you through this Specialization by providing hands-on activities that simulate relevant tasks, teaching you how to: Configure network addresses and understand how data travels through the network Read and interpret network traffic flows to identify suspicious activity Configure network services and understand the difference between a VPN and a proxy Troubleshoot connectivity issues and fix them quickly Harden systems and conduct a basic incident response process Upon completion, you’ll be able to analyze network traffic, recognize common vulnerabilities, and implement strategies to secure both traditional networks and cloud environments.

This specialization equips developers with the essential knowledge and skills to build responsible AI systems by applying best practices of Fairness, Interpretability, Transparency, Privacy, and Safety. Throughout the courses, you will learn how to: Identify and Mitigate Bias: Learn to recognize and address potential biases in your machine learning models to mitigate fairness issues. Apply Interpretability Techniques: Gain practical techniques to interpret complex AI models and explain their predictions using Google Cloud and open source tools. Prioritize Privacy and Security: Implement privacy-enhancing technologies like differential privacy and federated learning to protect sensitive data and build trust. Ensure Generative AI Safety: Understand and apply safety measures to mitigate risks associated with generative AI models. By the end of this specialization, you will have a comprehensive understanding of responsible AI principles and the practical skills to build AI systems that are ethical, reliable, and beneficial to users.

Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Security Command Center, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. 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. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

Beginner course on agentic AI concepts, autonomous systems, retrieval, and tool integration for workplace usage.