Discover Business Value for Customers
Earned dic 12, 2025 EST
Build and Deploy Customer Experience Agents
Earned dic 5, 2025 EST
Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned ago 13, 2025 EDT
Crea embeddings, búsqueda de vectores y RAG con BigQuery
Earned ago 7, 2025 EDT
Generate and Edit Media in Vertex AI
Earned ago 7, 2025 EDT
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned ago 7, 2025 EDT
Operaciones de aprendizaje automático (MLOps) con Vertex AI: Evaluación de modelos
Earned ago 7, 2025 EDT
Recommendations with AI Applications
Earned ago 6, 2025 EDT
Create Data Stores for Gen AI Applications
Earned ago 6, 2025 EDT
Introduction to NotebookLM
Earned ago 6, 2025 EDT
Improve Vertex AI Search and Gemini Enterprise Search Results
Earned ago 6, 2025 EDT
Vertex AI Search and Gemini Enterprise Analytics
Earned ago 6, 2025 EDT
Vertex AI Search and Gemini Enterprise UI Configurations
Earned ago 6, 2025 EDT
Empower Gen AI apps with tool use
Earned ago 6, 2025 EDT
Explore Google's Gen AI Models
Earned ago 6, 2025 EDT
Engineer Effective Prompts for Generative Models
Earned ago 6, 2025 EDT
Configure AI Applications to optimize search results
Earned ago 6, 2025 EDT
Improve customer and agent satisfaction with Agent Assist
Earned ago 6, 2025 EDT
Analyze patterns in conversational data with Customer Experience Insights
Earned ago 6, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned ago 5, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned ago 5, 2025 EDT
Extend Gemini Enterprise Assistant Capabilities
Earned ago 3, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned ago 3, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned ago 3, 2025 EDT
Build search and recommendations applications with AI Applications
Earned ago 2, 2025 EDT
Deploy and Evaluate Model Garden Models
Earned ago 2, 2025 EDT
Evaluate Gen AI model and agent performance
Earned ago 2, 2025 EDT
Deploy a RAG application with vector search in Firestore
Earned ago 1, 2025 EDT
Edit images with Imagen
Earned ago 1, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned ago 1, 2025 EDT
IA generativa: más allá del chatbot
Earned jun 26, 2025 EDT
Acelera el intercambio de conocimientos con Gemini Enterprise
Earned ene 30, 2025 EST
Build and Deploy a Generative AI solution using a RAG framework
Earned jun 13, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned jun 1, 2024 EDT
Introducción a la IA y el aprendizaje automático en Google Cloud
Earned nov 1, 2023 EDT
Implementing Generative AI with Vertex AI
Earned oct 16, 2023 EDT
IA responsable: Aplica los principios de la IA con Google Cloud
Earned oct 16, 2023 EDT
Text Prompt Engineering Techniques
Earned oct 16, 2023 EDT
Introducción a Vertex AI Studio
Earned oct 15, 2023 EDT
Creación de modelos de generación de subtítulos de imágenes
Earned oct 14, 2023 EDT
Modelos de transformadores y modelo BERT
Earned oct 14, 2023 EDT
Arquitectura de codificador-decodificador
Earned oct 13, 2023 EDT
Mecanismo de atención
Earned oct 13, 2023 EDT
Introducción a la generación de imágenes
Earned oct 13, 2023 EDT
Generative AI Fundamentals
Earned oct 11, 2023 EDT
Introducción a la IA responsable
Earned oct 11, 2023 EDT
Introducción a los modelos de lenguaje grandes
Earned oct 11, 2023 EDT
Introducción a la IA generativa
Earned oct 9, 2023 EDT
The course aims to train Google technical sales partners on the business value discovery process using proprietary content.
Course activities use an external tool (Yoodli). Refer to Yoodli's Terms of Service and Privacy Notice.
Note: The Yoodli Labs in this course will be deprecated on March 31st. We encourage you to finish your remaining Yoodli Labs before the March 31 deadline.
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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…
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Complete the Leverage best practices for developing, operating, and securing production-grade Conversational Agents skill badge to demonstrate your ability to implement a variety of best practices around development, deployment, and security. These will include: Using versions and environments, backing up with Git integration, leveraging test cases and CI/CD testing, tracking conversations with conversation history and logging, redacting data, and securing acceess to agent and webhook endpoints.
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 develope…
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En este curso, se explora una solución de generación mejorada por recuperación (RAG) de BigQuery para mitigar las alucinaciones de la IA. Se presenta un flujo de trabajo de RAG que abarca la creación de embeddings, la búsqueda en un espacio vectorial y la generación de respuestas mejoradas. En el curso, se explican los motivos conceptuales de estos pasos y su implementación práctica con BigQuery. Al final del curso, los alumnos podrán crear una canalización de RAG utilizando BigQuery y modelos de IA generativa como Gemini y modelos de embedding para abordar sus propios casos de uso de alucinaciones de IA.
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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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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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En este curso, los profesionales del aprendizaje automático aprenderán a utilizar las herramientas, las técnicas y las prácticas recomendadas indispensables para evaluar los modelos de IA generativa y predictiva. La evaluación de modelos es una disciplina esencial para garantizar que los sistemas de AA arrojen resultados confiables, exactos y de alto rendimiento en la producción.
Los participantes obtendrán información exhaustiva sobre diversas métricas y metodologías de evaluación, además de su aplicación adecuada en diferentes tipos de modelos y tareas. En este curso, se hará énfasis en los desafíos únicos que presentan los modelos de IA generativa y se ofrecerán estrategias para abordarlos de manera eficaz. Con la plataforma de Vertex AI de Google Cloud, los participantes aprenderán a implementar los procesos sólidos de evaluación para la selección, optimización y supervisión continua de modelos.
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Do you want to keep your users engaged by suggesting content they'll love?
This course equips you with the skills to build a cutting-edge recommendations app using your own data with no prior machine learning knowledge. You learn to leverage AI Applications to build recommendation applications so that audiences can discover more personalized content, like what to watch or read next, with Google-quality results customized using optimization objectives.
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Data stores represent a simple way to make content available to many types of generative AI applications, including search applications, recommendations engines, Gemini Enterprise apps, Agent Development Kit agents, and apps built with Google Gen AI or LangChain SDKs. Connect data from many sources include Cloud Storage, Google Drive, chat apps, mail apps, ticketing systems, third-party file storage providers, Salesforce, and many more.
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NotebookLM is an AI-powered collaborator that helps you do your best thinking. After uploading your documents, NotebookLM becomes an instant expert in those sources so you can read, take notes, and collaborate with it to refine and organize your ideas.
NotebookLM Pro gives you everything already included with NotebookLM, as well as higher utilization limits, access to premium features, and additional sharing options and analytics.
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If you've worked with data, you know that some data is more reliable than other data.
In this course, you'll learn a variety of techniques to present the most reliable or useful results to your users. Create serving controls to boost or bury search results. Rank search results to ensure that each query is answered by the most relevant data. If needed, tune your search engine. Learn to measure search results to ensure your search applications deliver the best possible results to each user.
(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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AI Applications provides built-in analytics for your Vertex AI Search and Gemini Enterprise apps. Learn what metrics are tracked and how to view them in this course.
(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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Initial deployment of Vertex AI Search and Gemini Enterprise apps takes only a few clicks, but getting the configurations right can elevate a deployment from a basic off-the-shelf app to an excellent custom search or recommendations experience.
In this course, you'll learn more about the many ways you can customize and improve search, recommendations, and Gemini Enterprise 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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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 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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Learn a variety of strategies and techniques to engineer effective prompts for generative models
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Complete the Configure AI Applications to optimize search results skill badge to demonstrate your proficiency in configuring search results from AI Applications. You will be tasked with implementing search serving controls to boost and bury results, filter entries from search results and display metadata in your search interface.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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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Complete the Improve customer and agent satisfaction with Agent Assist skill badge to demonstrate your proficiency in configuring basic conversational agents that can escalate actions to human agents, and configuring Agent Assist to help human agents with customer queries. You prove your knowledge in configuring Generators for summarization, classification and recommendation of tickets as well leverage tools such as Generative Knowledge Assist, to provide further context to human 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!
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Complete the Analyze patterns in conversational data with Customer Experience Insights skill badge to demonstrate your proficiency in analysing customer conversations with Cx Insights. After completing this challenge, you will be ready to deploy Cx Insights to improve customer service performance, and create better customer experiences.
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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Complete the Extend agent functionality with Webhooks, Tools, and Integrations skill badge to demonstrate your ability to let conversational agents take actions. You will create a flow that calls a webhook and a playbook with a tool and combine them into a hybrid agent. You'll also prepare custom payload for rich content experiences in the Conversational Messenger.
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!
Más información
Complete the Build basic Conversational Agents with Playbooks and Flows skill badge to demonstrate your proficiency in building virtual agents using traditional NLU and generative-based features.
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!
Más información
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!
Más información
Complete the Create media search and media recommendations applications with AI Applications skill badge to demonstrate your ability to create, configure, and access media search and recommendations applications using AI Applications.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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!
Más información
Complete the Create and maintain Vertex AI Search data stores skill badge to demonstrate your proficiency in building various types of data stores used in Vertex AI Search applications.
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!
Más información
Complete the Build search and recommendations AI Applications skill badge to demonstrate your proficiency in deploying search and recommendation applications through AI Applications. Additionally, emphasis is placed on constructing a tailored Q&A system utilizing data stores.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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!
Más información
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 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!
Más información
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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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!
Más información
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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IA generativa: más allá del chatbot es el primer curso de la ruta de aprendizaje de Líder de IA generativa y no tiene requisitos previos. El objetivo de este curso es profundizar los conocimientos básicos sobre chatbots para explorar el verdadero potencial de la IA generativa para tu organización. Explorarás conceptos como los modelos de base y la ingeniería de instrucciones, que son fundamentales para aprovechar el poder de la IA generativa. Este curso también te sirve como guía para las consideraciones importantes que debes tener cuando desarrollas una estrategia de IA generativa exitosa para tu organización.
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Combina la experiencia en la búsqueda y la IA de Google con Gemini Enterprise, una herramienta potente diseñada para ayudar a los empleados a encontrar información específica en almacenes de documentos, correos electrónicos, chats, sistemas de tickets y otras fuentes de datos, todo desde una sola barra de búsqueda. El asistente de Gemini Enterprise también puede ayudarte a generar ideas, investigar, crear esquemas de documentos y realizar acciones como invitar a compañeros de trabajo a un evento de calendario para acelerar el trabajo de conocimiento y la colaboración de todo tipo.
(Ten en cuenta que Gemini Enterprise antes se llamaba Google Agentspace, por lo que puede haber referencias al nombre anterior del producto en este curso).
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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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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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En este curso, se presentan las funciones de IA y aprendizaje automático (AA) de Google Cloud, con un enfoque en el desarrollo de proyectos de IA generativa y predictiva. Se exploran las diversas tecnologías, productos y herramientas disponibles durante el ciclo de vida desde los datos hasta la IA, y se trabaja con ejercicios interactivos para que los científicos de datos, ingenieros de AA y desarrolladores de IA puedan enriquecer su experiencia.
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This course will help ML Engineers, Developers, and Data Scientists implement Large Language Models for Generative AI use cases with Vertex AI. The first two modules of this course contain links to videos and prerequisite course materials that will build your knowledge foundation in Generative AI. Please do not skip these modules. The advanced modules in this course assume you have completed these earlier modules.
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A medida que aumenta el uso empresarial de la inteligencia artificial y el aprendizaje automático, también crece la importancia de implementarlo responsablemente. El desafío para muchas personas es que hablar sobre la IA responsable puede ser más fácil que aplicarla. Si te interesa aprender cómo poner en funcionamiento la IA responsable en tu organización, este curso es para ti.
En este curso, aprenderás cómo Google Cloud aplica estos principios en la actualidad, junto con las prácticas recomendadas y las lecciones aprendidas, para usarlos como marco de trabajo de modo que puedas crear tu propio enfoque de IA responsable.
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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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En este curso, se presenta Vertex AI Studio, una herramienta para interactuar con modelos de IA generativa, crear prototipos de ideas de negocio y llevarlas a producción. A través de un caso de uso envolvente, lecciones atractivas y un lab práctico, explorarás el ciclo de vida desde la instrucción hasta el producto y aprenderás cómo aprovechar Vertex AI Studio para aplicaciones multimodales de Gemini, diseño de instrucciones, ingeniería de instrucciones y ajuste de modelos. El objetivo es permitirte desbloquear el potencial de la IA generativa en tus proyectos con Vertex AI Studio.
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En este curso, se te enseña a crear un modelo de generación de leyendas de imágenes con el aprendizaje profundo. Aprenderás sobre los distintos componentes de los modelos de generación de leyendas de imágenes, como el codificador y el decodificador, y cómo entrenar y evaluar tu modelo. Al final del curso, podrás crear tus propios modelos y usarlos para generar leyendas de imágenes.
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En este curso, se presentan la arquitectura de transformadores y el modelo de Bidirectional Encoder Representations from Transformers (BERT). Aprenderás sobre los componentes principales de la arquitectura de transformadores, como el mecanismo de autoatención, y cómo se usa para crear el modelo BERT. También aprenderás sobre las diferentes tareas para las que puede usarse BERT, como la clasificación de texto, la respuesta de preguntas y la inferencia de lenguaje natural. Tardarás aproximadamente 45 minutos en completar este curso.
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En este curso, se brinda un resumen de la arquitectura de codificador-decodificador, una arquitectura de aprendizaje automático importante y potente para realizar tareas de secuencia por secuencia, como las de traducción automática, resúmenes de texto y respuestas a preguntas. Aprenderás sobre los componentes principales de la arquitectura de codificador-decodificador y cómo entrenar y entregar estos modelos. En la explicación del lab, programarás una implementación sencilla de la arquitectura de codificador-decodificador en TensorFlow para generar poemas desde un comienzo.
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Este curso es una introducción al mecanismo de atención, una potente técnica que permite a las redes neuronales enfocarse en partes específicas de una secuencia de entrada. Sabrás cómo funciona la atención y cómo puede utilizarse para mejorar el rendimiento de diversas tareas de aprendizaje automático, como la traducción automática, el resumen de textos y la respuesta a preguntas.
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En este curso, se presenta una introducción a los modelos de difusión: una familia de modelos de aprendizaje automático que demostraron ser muy prometedores en el área de la generación de imágenes. Los modelos de difusión se inspiran en la física, específicamente, en la termodinámica. En los últimos años, los modelos de difusión se han vuelto populares tanto en investigaciones como en la industria. Los modelos de difusión respaldan muchos de los modelos de generación de imágenes y herramientas vanguardistas de Google Cloud. En este curso, se presenta la teoría detrás de los modelos de difusión y cómo entrenarlos y, luego, implementarlos en Vertex AI.
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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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Este es un curso introductorio de microaprendizaje destinado a explicar qué es la IA responsable, por qué es importante y cómo la implementa Google en sus productos. También se presentan los 7 principios de la IA de Google.
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Este es un curso introductorio de microaprendizaje en el que se explora qué son los modelos de lenguaje grandes (LLM), sus casos de uso y cómo se puede utilizar el ajuste de instrucciones para mejorar el rendimiento de los LLM. También abarca las herramientas de Google para ayudarte a desarrollar tus propias aplicaciones de IA generativa.
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Este es un curso introductorio de microaprendizaje destinado a explicar qué es la IA generativa, cómo se utiliza y en qué se diferencia de los métodos de aprendizaje automático tradicionales. También abarca las herramientas de Google para ayudarte a desarrollar tus propias aplicaciones de IA generativa.
Discover Business Value for Customers
Earned dic 12, 2025 EST
Build and Deploy Customer Experience Agents
Earned dic 5, 2025 EST
Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned ago 13, 2025 EDT
Crea embeddings, búsqueda de vectores y RAG con BigQuery
Earned ago 7, 2025 EDT
Generate and Edit Media in Vertex AI
Earned ago 7, 2025 EDT
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned ago 7, 2025 EDT
Operaciones de aprendizaje automático (MLOps) con Vertex AI: Evaluación de modelos
Earned ago 7, 2025 EDT
Recommendations with AI Applications
Earned ago 6, 2025 EDT
Create Data Stores for Gen AI Applications
Earned ago 6, 2025 EDT
Introduction to NotebookLM
Earned ago 6, 2025 EDT
Improve Vertex AI Search and Gemini Enterprise Search Results
Earned ago 6, 2025 EDT
Vertex AI Search and Gemini Enterprise Analytics
Earned ago 6, 2025 EDT
Vertex AI Search and Gemini Enterprise UI Configurations
Earned ago 6, 2025 EDT
Empower Gen AI apps with tool use
Earned ago 6, 2025 EDT
Explore Google's Gen AI Models
Earned ago 6, 2025 EDT
Engineer Effective Prompts for Generative Models
Earned ago 6, 2025 EDT
Configure AI Applications to optimize search results
Earned ago 6, 2025 EDT
Improve customer and agent satisfaction with Agent Assist
Earned ago 6, 2025 EDT
Analyze patterns in conversational data with Customer Experience Insights
Earned ago 6, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned ago 5, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned ago 5, 2025 EDT
Extend Gemini Enterprise Assistant Capabilities
Earned ago 3, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned ago 3, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned ago 3, 2025 EDT
Build search and recommendations applications with AI Applications
Earned ago 2, 2025 EDT
Deploy and Evaluate Model Garden Models
Earned ago 2, 2025 EDT
Evaluate Gen AI model and agent performance
Earned ago 2, 2025 EDT
Deploy a RAG application with vector search in Firestore
Earned ago 1, 2025 EDT
Edit images with Imagen
Earned ago 1, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned ago 1, 2025 EDT
IA generativa: más allá del chatbot
Earned jun 26, 2025 EDT
Acelera el intercambio de conocimientos con Gemini Enterprise
Earned ene 30, 2025 EST
Build and Deploy a Generative AI solution using a RAG framework
Earned jun 13, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned jun 1, 2024 EDT
Introducción a la IA y el aprendizaje automático en Google Cloud
Earned nov 1, 2023 EDT
Implementing Generative AI with Vertex AI
Earned oct 16, 2023 EDT
IA responsable: Aplica los principios de la IA con Google Cloud
Earned oct 16, 2023 EDT
Text Prompt Engineering Techniques
Earned oct 16, 2023 EDT
Introducción a Vertex AI Studio
Earned oct 15, 2023 EDT
Creación de modelos de generación de subtítulos de imágenes
Earned oct 14, 2023 EDT
Modelos de transformadores y modelo BERT
Earned oct 14, 2023 EDT
Arquitectura de codificador-decodificador
Earned oct 13, 2023 EDT
Mecanismo de atención
Earned oct 13, 2023 EDT
Introducción a la generación de imágenes
Earned oct 13, 2023 EDT
Generative AI Fundamentals
Earned oct 11, 2023 EDT
Introducción a la IA responsable
Earned oct 11, 2023 EDT
Introducción a los modelos de lenguaje grandes
Earned oct 11, 2023 EDT
Introducción a la IA generativa
Earned oct 9, 2023 EDT