Empower Gen AI Apps with Tool Use
Earned Mär 2, 2026 EST
Engineer Effective Prompts for Generative Models
Earned Feb 23, 2026 EST
Gemini in Gmail
Earned Feb 23, 2026 EST
Einführung in Gemini für Google Workspace
Earned Feb 23, 2026 EST
Customer Experience Agent Studio: Fundamentals
Earned Feb 22, 2026 EST
Understand and Respond to Media
Earned Feb 17, 2026 EST
Explore Google's Gen AI Models
Earned Feb 17, 2026 EST
Generate and Edit Media in Vertex AI
Earned Feb 16, 2026 EST
Verantwortungsbewusste Anwendung von KI: KI-Grundsätze in Google Cloud anwenden
Earned Feb 16, 2026 EST
Build and Deploy Customer Experience Agents
Earned Feb 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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Gemini für Google Workspace ermöglicht Kunden den Zugriff auf generative KI-Funktionen in Google Workspace. Dieser Mini-Kurs vermittelt Ihnen die wichtigsten Gemini-Funktionen. Sie erfahren, wie Sie diese Funktionen in Gmail einsetzen können, um produktiver und effizienter zu arbeiten.
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Gemini für Google Workspace ermöglicht Kunden den Zugriff auf generative KI-Funktionen in Google Workspace. Dieser Lernpfad vermittelt Ihnen die wichtigsten Gemini-Funktionen. Sie erfahren, wie Sie diese Funktionen in Google Workspace einsetzen können, um produktiver und effizienter zu arbeiten.
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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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Da die Nutzung von künstlicher Intelligenz und Machine Learning in Unternehmen weiter zunimmt, wird auch deren verantwortungsbewusste Entwicklung ein immer wichtigeres Thema. Dabei ist es für viele schwierig, die Überlegungen zur verantwortungsbewussten Anwendung von KI in die Praxis umzusetzen. Wenn Sie wissen möchten, wie sich die verantwortungsbewusste Anwendung von KI in die Praxis umsetzen, also operationalisieren lässt, finden Sie in diesem Kurs entsprechende Hilfestellungen.
In diesem Kurs erfahren Sie, wie dies mit Google Cloud heutzutage möglich ist, inklusive entsprechender Best Practices und Erkenntnisse. Es wird gezeigt, welches Framework Google Cloud bietet, um einen eigenen Ansatz für die verantwortungsbewusste Anwendung von KI zu entwickeln.
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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 Mär 11, 2026 EDT
Empower Gen AI Apps with Tool Use
Earned Mär 2, 2026 EST
Engineer Effective Prompts for Generative Models
Earned Feb 23, 2026 EST
Gemini in Gmail
Earned Feb 23, 2026 EST
Einführung in Gemini für Google Workspace
Earned Feb 23, 2026 EST
Customer Experience Agent Studio: Fundamentals
Earned Feb 22, 2026 EST
Understand and Respond to Media
Earned Feb 17, 2026 EST
Explore Google's Gen AI Models
Earned Feb 17, 2026 EST
Generate and Edit Media in Vertex AI
Earned Feb 16, 2026 EST
Verantwortungsbewusste Anwendung von KI: KI-Grundsätze in Google Cloud anwenden
Earned Feb 16, 2026 EST
Build and Deploy Customer Experience Agents
Earned Feb 2, 2026 EST