Extend Gemini Enterprise Assistant Capabilities
Earned jan. 27, 2026 EST
Deploy and Evaluate Model Garden Models
Earned jan. 27, 2026 EST
Find, Explore and Deploy Model Garden Models
Earned jan. 27, 2026 EST
Supervised Fine-tuning for Gemini
Earned jan. 27, 2026 EST
Edit images with Imagen
Earned jan. 26, 2026 EST
Understand and Respond to Media
Earned jan. 26, 2026 EST
Build intelligent agents with Agent Development Kit (ADK)
Earned jan. 26, 2026 EST
Déployer des systèmes multi-agents avec Agent Development Kit (ADK) et Agent Engine
Earned jan. 26, 2026 EST
Generative AI for Marketing
Earned jan. 23, 2026 EST
Deploy a RAG application with vector search in Firestore
Earned jan. 23, 2026 EST
Implement Hybrid Search
Earned jan. 22, 2026 EST
Implement RAG with Vertex AI
Earned jan. 22, 2026 EST
Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery
Earned jan. 22, 2026 EST
Evaluate Gen AI model and agent performance
Earned jan. 16, 2026 EST
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned jan. 15, 2026 EST
Model evaluation on Vertex AI
Earned jan. 15, 2026 EST
Machine Learning Operations (MLOps) avec Vertex AI : évaluation des modèles
Earned jan. 15, 2026 EST
Generate and Edit Media in Vertex AI
Earned jan. 15, 2026 EST
Extend Gemini with controlled generation and Tool use
Earned nov. 13, 2025 EST
Empower Gen AI Apps with Tool Use
Earned nov. 13, 2025 EST
Engineer Effective Prompts for Generative Models
Earned nov. 13, 2025 EST
Explore Google's Gen AI Models
Earned nov. 12, 2025 EST
Complete the Extend Gemini Enterprise Assistant Capabilities skill badge to demonstrate your ability to extend Gemini Enterprise assistant's capabilities with actions, grounding with Google Search, and a conversational agent.
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!
En savoir plus
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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Model Garden is a model library that helps you discover, test, and deploy models from Google and Google partners. Learn how to explore the available models and select the right ones for your use case. And how to deploy and interact with Model Garden models through the Google Cloud console and APIs.
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With this course you will learn how to use different techniques to fine-tune Gemini. Model tuning is an effective way to customize large models like Gemini for your specific tasks. It's a key step to improve the model's quality and efficiency.
This course will give an overview of model tuning, describe the tuning options available for Gemini, help you determine when each tuning option should be used and how to perform tuning.
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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!
En savoir plus
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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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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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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Leverage Google Cloud and generative AI to build powerful marketing apps and analyze data effectively.
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This lab tests your ability to develop a real-world Generative AI Q&A solution using a RAG framework. You will use Firestore as a vector database and deploy a Flask app as a user interface to query a food safety knowledge base.
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Learn how to create Hybrid Search applications using Vertex AI Vertex Search to combine semantic searching with keyword search to return results based on both semantic meaning and keyword matching.
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Learn how to build your own Retrieval-Augmented Generation (RAG) solutions for greater control and flexibility than out-of-the-box implementations. Create a custom RAG solution using Vertex AI APIs, vector stores, and the LangChain framework.
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Ce cours présente une solution de génération augmentée par récupération (RAG) dans BigQuery permettant de réduire les hallucinations de l'IA. Il décrit un workflow RAG qui couvre la création d'embeddings, la recherche dans un espace vectoriel et la génération de réponses améliorées. Il explique aussi les raisons conceptuelles derrière ces étapes et leur implémentation pratique avec BigQuery. À la fin du cours, les participants seront à même de créer un pipeline de RAG à l'aide de BigQuery et de modèles d'IA générative tels que Gemini, ainsi que des modèles d'embeddings pour traiter leurs propres cas d'hallucinations de l'IA.
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Complete the Evaluate Gen AI model and agent performance skill badge to demonstrate your ability to use the Gen AI evaluation service. You will evaluate models to select the best model for a given task, compare models against each other and evaluate the performance of agents.
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!
En savoir plus
Evaluation is important at every step of your Gen AI development process. In this course you will learn how to evaluate gen AI agents built using agent frameworks.
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This course delves into the complexities of assessing the quality of large language model outputs. It examines the challenges enterprises face due to the subjective and sometimes incorrect nature of LLM responses, including hallucinations and inconsistent results. The course introduces various evaluation metrics for different tasks like classification, text generation, and question answering, such as Accuracy, Precision, Recall, F1 score, ROUGE, BLEU, and Exact Match. It also explores evaluation methods offered by Vertex AI LLM Evaluation Services, including computation-based, autorater, and human evaluation, providing insights into their application and benefits. Finally, the module covers how to unit test LLM applications within Vertex AI.
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Ce cours apporte aux professionnels du machine learning les techniques, les bonnes pratiques et les outils essentiels pour évaluer les modèles d'IA prédictive et générative. L'évaluation des modèles est primordiale pour s'assurer que les systèmes de ML fournissent des résultats fiables, précis et de haut niveau en production.
Les participants acquerront une connaissance approfondie de diverses métriques et méthodologies d'évaluation, ainsi que de leur application appropriée dans différents types de modèles et tâches. Le cours mettra l'accent sur les défis uniques posés par les modèles d'IA générative et proposera des stratégies pour les relever efficacement. Grâce à la plate-forme Vertex AI de Google Cloud, les participants apprendront à implémenter des processus d'évaluation rigoureux pour la sélection, l'optimisation et la surveillance continue des modèles.
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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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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!"
En savoir plus
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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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.
Extend Gemini Enterprise Assistant Capabilities
Earned jan. 27, 2026 EST
Deploy and Evaluate Model Garden Models
Earned jan. 27, 2026 EST
Find, Explore and Deploy Model Garden Models
Earned jan. 27, 2026 EST
Supervised Fine-tuning for Gemini
Earned jan. 27, 2026 EST
Edit images with Imagen
Earned jan. 26, 2026 EST
Understand and Respond to Media
Earned jan. 26, 2026 EST
Build intelligent agents with Agent Development Kit (ADK)
Earned jan. 26, 2026 EST
Déployer des systèmes multi-agents avec Agent Development Kit (ADK) et Agent Engine
Earned jan. 26, 2026 EST
Generative AI for Marketing
Earned jan. 23, 2026 EST
Deploy a RAG application with vector search in Firestore
Earned jan. 23, 2026 EST
Implement Hybrid Search
Earned jan. 22, 2026 EST
Implement RAG with Vertex AI
Earned jan. 22, 2026 EST
Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery
Earned jan. 22, 2026 EST
Evaluate Gen AI model and agent performance
Earned jan. 16, 2026 EST
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned jan. 15, 2026 EST
Model evaluation on Vertex AI
Earned jan. 15, 2026 EST
Machine Learning Operations (MLOps) avec Vertex AI : évaluation des modèles
Earned jan. 15, 2026 EST
Generate and Edit Media in Vertex AI
Earned jan. 15, 2026 EST
Extend Gemini with controlled generation and Tool use
Earned nov. 13, 2025 EST
Empower Gen AI Apps with Tool Use
Earned nov. 13, 2025 EST
Engineer Effective Prompts for Generative Models
Earned nov. 13, 2025 EST
Explore Google's Gen AI Models
Earned nov. 12, 2025 EST