Responsible AI: Applying AI Principles with Google Cloud
Earned Nov 25, 2025 EST
Prompt Design in Vertex AI
Earned Nov 25, 2025 EST
Introduction to Responsible AI
Earned Nov 20, 2025 EST
Introduction to Large Language Models
Earned Nov 20, 2025 EST
Introduction to Generative AI
Earned Nov 20, 2025 EST
Analyze Images with the Cloud Vision API
Earned Jul 26, 2023 EDT
Set Up a Google Cloud Network
Earned Jul 25, 2023 EDT
Level 1: AppDev and Infrastructure
Earned Jul 22, 2023 EDT
DEPRECATED Networking Fundamentals on Google Cloud
Earned Jul 21, 2023 EDT
The Basics of Google Cloud Compute
Earned Jul 20, 2023 EDT
Getting Started with Go on Google Cloud
Earned Jul 17, 2023 EDT
App Engine: 3 Ways
Earned Jul 17, 2023 EDT
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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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.
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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 3 AI principles.
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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.
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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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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.
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Earn a skill badge by completing the Set Up a Google Cloud Network skill badge course, where you will learn how to perform basic networking tasks on Google Cloud Platform - create a custom network, add subnets firewall rules, then create VMs and test the latency when they communicate with each other.
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Demand for cloud-skilled workers is rising. According to a report by Indeed, cloud computing jobs are expected to grow by 22% over the next five years, much faster than the average for all occupations. Play now to get hands-on experience building with Google Cloud's powerful coding and infrastructure management tools. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential.
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Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers on Google Cloud. 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, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.
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Get started with Go (Golang) by reviewing Go code, and then creating and deploying simple Go apps on Google Cloud. Go is an open source programming language that makes it easy to build fast, reliable, and efficient software at scale. Go runs native on Google Cloud, and is fully supported on Google Kubernetes Engine, Compute Engine, App Engine, Cloud Run, and Cloud Functions. Go is a compiled language and is faster and more efficient than interpreted languages. As a result, Go requires no installed runtime like Node, Python, or JDK to execute.
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Earn a skill badge by completing the App Engine`:` 3 ways course, where you learn how to use App Engine with Python, Go, and PHP.
Responsible AI: Applying AI Principles with Google Cloud
Earned Nov 25, 2025 EST
Prompt Design in Vertex AI
Earned Nov 25, 2025 EST
Introduction to Responsible AI
Earned Nov 20, 2025 EST
Introduction to Large Language Models
Earned Nov 20, 2025 EST
Introduction to Generative AI
Earned Nov 20, 2025 EST
Analyze Images with the Cloud Vision API
Earned Jul 26, 2023 EDT
Set Up a Google Cloud Network
Earned Jul 25, 2023 EDT
Level 1: AppDev and Infrastructure
Earned Jul 22, 2023 EDT
DEPRECATED Networking Fundamentals on Google Cloud
Earned Jul 21, 2023 EDT
The Basics of Google Cloud Compute
Earned Jul 20, 2023 EDT
Getting Started with Go on Google Cloud
Earned Jul 17, 2023 EDT
App Engine: 3 Ways
Earned Jul 17, 2023 EDT