Empower Gen AI Apps with Tool Use
Earned مارس 2, 2026 EST
Engineer Effective Prompts for Generative Models
Earned فبراير 23, 2026 EST
Gemini in Gmail
Earned فبراير 23, 2026 EST
Introduction to Google Workspace with Gemini
Earned فبراير 23, 2026 EST
Customer Experience Agent Studio: Fundamentals
Earned فبراير 22, 2026 EST
Understand and Respond to Media
Earned فبراير 17, 2026 EST
Explore Google's Gen AI Models
Earned فبراير 17, 2026 EST
Generate and Edit Media in Vertex AI
Earned فبراير 16, 2026 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned فبراير 16, 2026 EST
Build and Deploy Customer Experience Agents
Earned فبراير 2, 2026 EST
Complete the Edit images with Imagen skill badge to demonstrate your skills with Imagen's mask modes and editing modes to edit images according to certain prompts.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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An LLM-based application can process language in a way that resembles thought. But if you want to extend its capabilities to take actions by running other functions you have coded, you will need to use function calling. This can also be referred to as tool use. Additionally, you can give a model the ability to search Google or search a data store of documents to ground its responses. In other words, to base its answers on that information. In this course, you’ll explore these concepts.
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Learn a variety of strategies and techniques to engineer effective prompts for generative models
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Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Gmail.
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Google Workspace with Gemini provides customers with generative AI features in Google Workspace. In this learning path, you learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.
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This course aims to equip conversational designers and builders with the concepts and practical skills to design, build, and test sophisticated, multi-agent, and multimodal Customer Experience agents using Customer Experience Agent Studio (CX Agent Studio).
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Explore a variety of techniques for using Gemini to understand image, audio, video, and live-streaming media. You will discover how meaningful information can be extracted from each of these forms of media to use in media-rich applications.
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Learn how to leverage Gemini multimodal capabilities to process and generate text, images, and audio and to integrate Gemini through APIs to perform tasks such as content creation and summarization.
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This course dives into the world of media creation in Vertex AI using Nano Banana and Veo. Learn to design text and image-based prompts to produce high-quality, consistent images, and captivating, cinematic video clips. You'll also learn to refine generated assets using core editing functions. Finally, this course guides you through multi-tool workflow implementations for creative control and consistency, empowering you to transform images into video clips and leverage Gemini for prompt writing assistance and feedback.
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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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In this course you will discover the exciting new features and capabilities of Customer Experience Agent Studio (CX Agent Studio), design AI agents from the CLI using MCP servers, learn how to evaluate your agent's performance and implement the Quality Hill Climbing process. You will also find out how to set up your agent's memory to store, retrieve, and use information across conversation turns and implement callbacks for logging or authentication, configure guardrails to protect against malicious attempts and ensure aligned responses, and deploy the agent to various channels.
Additionally, you will explore the possible integrations between CX Agent Studio and CCaaS services and providers, including first party digital channel integrations with Google Telephony Platform (GTP), widgets and APIs, escalations to human agents through Google Cloud CCaaS and Gemini Enterprise for Customer Experience, and third party telephony and CCaaS integrations with providers such as Twillio or Salesfor…
Edit images with Imagen
Earned مارس 11, 2026 EDT
Empower Gen AI Apps with Tool Use
Earned مارس 2, 2026 EST
Engineer Effective Prompts for Generative Models
Earned فبراير 23, 2026 EST
Gemini in Gmail
Earned فبراير 23, 2026 EST
Introduction to Google Workspace with Gemini
Earned فبراير 23, 2026 EST
Customer Experience Agent Studio: Fundamentals
Earned فبراير 22, 2026 EST
Understand and Respond to Media
Earned فبراير 17, 2026 EST
Explore Google's Gen AI Models
Earned فبراير 17, 2026 EST
Generate and Edit Media in Vertex AI
Earned فبراير 16, 2026 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned فبراير 16, 2026 EST
Build and Deploy Customer Experience Agents
Earned فبراير 2, 2026 EST