Google Cloud Skills Boost

TitleEarnedCertification
Detect, Respond, and Recover from Cloud Cybersecurity AttacksJun 14, 2024 EDTCertification Link
Put It All Together: Prepare for a Cloud Security Analyst JobJun 10, 2024 EDTCertification Link
Cloud Security Risks: Identify and Protect Against ThreatsMay 28, 2024 EDTCertficiation Link
Strategies for Cloud Security Risk ManagementMay 28, 2024 EDTCertification Link
Introduction to Security Principles in Cloud ComputingMay 27, 2024 EDTCertification Link
Introduction to Responsible AIMay 26, 2024 EDTCertification Link
Introduction to Large Language ModelsMay 25, 2024 EDTCertification Link
Prompt Design in Vertex AIMay 25, 2024 EDTCertification Link
Responsible AI: Applying AI Principles with Google Cloud May 26, 2024 EDTCertification Link
Introduction to Generative AIMay 24, 2024 EDTCertification Link
Derive Insights from BigQuery DataOct 23, 2022 EDTCertification Link

Detect, Respond, and Recover from Cloud Cybersecurity Attacks

This is the fourth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks. You’ll gain valuable knowledge in customizing threat feeds, managing incidents, handling crisis communications, conducting root cause analysis, and mastering incident response and post-event communications. Using Google Cloud tools, you’ll learn to identify indicators of compromise and prepare for business continuity and disaster recovery. Alongside these technical skills, you’ll continue updating your resume and practicing interview techniques.

Put It All Together: Prepare for a Cloud Security Analyst Job

This is the fifth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll combine and apply key concepts such as cloud security principles, risk management, identifying vulnerabilities, incident management, and crisis communications in an interactive capstone project. Additionally, you’ll finalize your resume updates and put to practice all the new interview techniques you’ve learned, preparing you to confidently apply for and interview for jobs in the field.

Cloud Security Risks: Identify and Protect Against Threats

This is the third of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the principles of identity management and access control within a cloud environment, covering key elements like AAA (Authentication, Authorization, and Auditing), credential handling, and certificate management. You’ll also explore essential topics in threat and vulnerability management, cloud-native principles, and data protection measures. Upon completing this course, you will have acquired the skills and knowledge necessary to secure cloud-based resources and safeguard sensitive organizational information. Additionally, you’ll continue to engage with career resources and hone your interview techniques, preparing you for the next step in your professional journey.

Strategies for Cloud Security Risk Management

This is the second of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore widely-used cloud risk management frameworks, exploring security domains, compliance lifecycles, and industry standards such as HIPAA, NIST CSF, and SOC. You’ll develop skills in risk identification, implementation of security controls, compliance evaluation, and data protection management. Additionally, you’ll gain hands-on experience with Google Cloud and multi-cloud tools specific to risk and compliance. This course also incorporates job application and interview preparation techniques, offering a comprehensive foundation to understand and effectively navigate the complex landscape of cloud risk management.

Introduction to Security Principles in Cloud Computing

This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to automate tasks.

Introduction to Responsible AI

This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it’s important, and how Google implements responsible AI in their products. It also introduces Google’s 7 AI principles.

Responsible AI: Applying AI Principles with Google Cloud

This course, Responsible AI: Applying AI Principles with Google Cloud – Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Responsible AI: Applying AI Principles with Google Cloud. 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.

Prompt Design in Vertex AI

Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.

Introduction to Large Language Models

This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.

Introduction to Generative AI

This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

Derive Insights from BigQuery Data

Complete the introductory Derive Insights from BigQuery Data skill badge to demonstrate skills in the following: write SQL queries, query public tables, load sample data into BigQuery, troubleshoot common syntax errors with the query validator in BigQuery, and create reports in Looker Studio by connecting to BigQuery data. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

Referrence: https://www.cloudskillsboost.google/profile/badges

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