Deploy and Evaluate Model Garden Models
Earned jan. 31, 2026 EST
Edit images with Imagen
Earned jan. 13, 2026 EST
Deploy an Agent with Agent Development Kit (ADK)
Earned jan. 13, 2026 EST
Build intelligent agents with Agent Development Kit (ADK)
Earned sept. 23, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned août 18, 2025 EDT
Engineer Effective Prompts for Generative Models
Earned août 18, 2025 EDT
Explore Google's Gen AI Models
Earned août 18, 2025 EDT
Empower Gen AI apps with tool use
Earned juil. 24, 2025 EDT
Introduction to AI Applications
Earned juil. 17, 2025 EDT
Déployer des systèmes multi-agents avec Agent Development Kit (ADK) et Agent Engine
Earned juin 18, 2025 EDT
Build and Deploy a Generative AI solution using a RAG framework
Earned nov. 13, 2024 EST
Text Prompt Engineering Techniques
Earned sept. 20, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned sept. 20, 2024 EDT
Machine Learning Operations (MLOps) avec Vertex AI : gérer les caractéristiques
Earned août 5, 2024 EDT
Machine Learning Operations (MLOps) : premiers pas
Earned août 1, 2024 EDT
In this skill bagde, you will demonstrate your ability to use and compare models available in the Vertex AI Model Garden. You'll deploy a model to a Vertex AI Endpoint, query other models via their API, and use Vertex AI's Gen AI evaluation service to measure the performance of multiple models.
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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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In this challenge lab, you will demonstrate your ability to author agents using Agent Development Kit (ADK), deploy those agents to Agent Engine, and use them from a web app. Complete the challenge lab to earn a Google Cloud skill badge.
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This structured course is for developers interested in building intelligent agents using the Agent Development Kit (ADK). It combines hands-on experience, core concepts, and practical application, to provide a comprehensive guide to using ADK. You can also join our community of Google Cloud experts and peers to ask questions, collaborate on answers, and connect with the Googlers making the products you use every day.
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Complete the Extend Gemini with controlled generation and Tool use skill badge to demonstrate your proficiency in connecting models to external tools and APIs. This allows models to augment their knowledge, extend their capabilities and interact with external systems to take actions such as sending an email.
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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Learn a variety of strategies and techniques to engineer effective prompts for generative models
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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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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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This course introduces AI Applications. You will learn about the types of apps that you can create using AI Applications, the high-level steps that its data stores automate for you, and what advanced features can be enabled for Search apps.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
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Dans ce cours, vous utiliserez Google Agent Development Kit pour créer des systèmes multi-agents complexes. Vous développerez des agents équipés d'outils qui pourront interagir sur la base de flux et de relations parent-enfant. Vous allez exécuter vos agents en local et les déployer sur Vertex AI Agent Engine sous la forme d'un flux agentif géré, où les décisions concernant l'infrastructure et le scaling des ressources seront traitées par Agent Engine.
Veuillez noter que ces ateliers sont basés sur une version préliminaire du produit. Les mises à jour ne seront peut-être pas immédiatement reflétées dans le contenu.
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Demonstrate your ability to implement updated prompt engineering techniques and utilize several of Gemini's key capacilities including multimodal understanding and function calling. Then integrate generative AI into a RAG application deployed to Cloud Run. This course contains labs that are to be used as a test environment. They are deployed to test your understanding as a learner with a limited scope. These technologies can be used with fewer limitations in a real world environment.
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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
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This course on Integrate Vertex AI Search and Conversation into Voice and Chat Apps is composed of a set of labs to give you a hands on experience to interacting with new Generative AI technologies. You will learn how to create end-to-end search and conversational experiences by following examples. These technologies complement predefined intent-based chat experiences created in Dialogflow with LLM-based, generative answers that can be based on your own data. Also, they allow you to porvide enterprise-grade search experiences for internal and external websites to search documents, structure data and public websites.
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Ce cours présente les outils et les bonnes pratiques MLOps pour déployer, évaluer, surveiller et exploiter des systèmes de ML en production sur Google Cloud. Le MLOps est une discipline axée sur le déploiement, le test, la surveillance et l'automatisation des systèmes de ML en production.
Les participants s'entraîneront à utiliser l'ingestion en flux continu de Vertex AI Feature Store au niveau du SDK.
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Ce cours présente les outils et les bonnes pratiques MLOps pour déployer, évaluer, surveiller et exploiter des systèmes de ML en production sur Google Cloud. Le MLOps est une discipline axée sur le déploiement, le test, la surveillance et l'automatisation des systèmes de ML en production. Les ingénieurs en machine learning utilisent des outils pour améliorer et évaluer en permanence les modèles déployés. Ils collaborent avec des data scientists (ou peuvent occuper ce poste) qui développent des modèles permettant de déployer de manière rapide et rigoureuse les solutions de machine learning les plus performantes.
Deploy and Evaluate Model Garden Models
Earned jan. 31, 2026 EST
Edit images with Imagen
Earned jan. 13, 2026 EST
Deploy an Agent with Agent Development Kit (ADK)
Earned jan. 13, 2026 EST
Build intelligent agents with Agent Development Kit (ADK)
Earned sept. 23, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned août 18, 2025 EDT
Engineer Effective Prompts for Generative Models
Earned août 18, 2025 EDT
Explore Google's Gen AI Models
Earned août 18, 2025 EDT
Empower Gen AI apps with tool use
Earned juil. 24, 2025 EDT
Introduction to AI Applications
Earned juil. 17, 2025 EDT
Déployer des systèmes multi-agents avec Agent Development Kit (ADK) et Agent Engine
Earned juin 18, 2025 EDT
Build and Deploy a Generative AI solution using a RAG framework
Earned nov. 13, 2024 EST
Text Prompt Engineering Techniques
Earned sept. 20, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned sept. 20, 2024 EDT
Machine Learning Operations (MLOps) avec Vertex AI : gérer les caractéristiques
Earned août 5, 2024 EDT
Machine Learning Operations (MLOps) : premiers pas
Earned août 1, 2024 EDT