Responsible AI for Developers: Fairness & Bias
Earned Oct 31, 2024 EDT
Put It All Together: Prepare for a Cloud Security Analyst Job
Earned Oct 30, 2024 EDT
Strategies for Cloud Security Risk Management
Earned Oct 30, 2024 EDT
Introduction to Security Principles in Cloud Computing
Earned Oct 22, 2024 EDT
Introduction to Generative AI
Earned May 4, 2024 EDT
Level 3: GenAIus Registries
Earned May 4, 2024 EDT
Develop GenAI Apps with Gemini and Streamlit
Earned May 4, 2024 EDT
Prompt Design in Vertex AI
Earned May 4, 2024 EDT
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 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.
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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.
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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.
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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.
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Today, developers need all the tools to shine. Artifact Registry is your one-stop shop for storing and managing your code. Learn how to start building your dream code and earn a Google Cloud Credential along the way!- No prior experience needed!
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Complete the intermediate Develop GenAI Apps with Gemini and Streamlit skill badge to demonstrate skills in the following: text generation, applying function calls with the Python SDK and the Gemini API, and deploying a Streamlit application with Cloud Run. You will explore different ways to prompt Gemini for text generation, use Cloud Shell to test and iterate on a Streamlit application, and then package it as a Docker container deployed in Cloud Run. 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.
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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.
Responsible AI for Developers: Fairness & Bias
Earned Oct 31, 2024 EDT
Put It All Together: Prepare for a Cloud Security Analyst Job
Earned Oct 30, 2024 EDT
Strategies for Cloud Security Risk Management
Earned Oct 30, 2024 EDT
Introduction to Security Principles in Cloud Computing
Earned Oct 22, 2024 EDT
Introduction to Generative AI
Earned May 4, 2024 EDT
Level 3: GenAIus Registries
Earned May 4, 2024 EDT
Develop GenAI Apps with Gemini and Streamlit
Earned May 4, 2024 EDT
Prompt Design in Vertex AI
Earned May 4, 2024 EDT