Improve customer and agent satisfaction with Agent Assist
Earned ago 15, 2025 EDT
Analyze patterns in conversational data with Conversational Insights
Earned ago 15, 2025 EDT
Customer Engagement Suite with Google AI Architecture
Earned ago 15, 2025 EDT
Advanced Performance Measurement
Earned ago 15, 2025 EDT
Basic Performance Measurement
Earned ago 15, 2025 EDT
Introduction to Agent Assist and its GenAI Capabilities
Earned ago 15, 2025 EDT
Conversational Insights
Earned ago 15, 2025 EDT
Agent Summarization (Custom)
Earned ago 15, 2025 EDT
Integrate Agent Assist with Telephony and Chatbot Systems
Earned ago 15, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned ago 15, 2025 EDT
Extend Google Agentspace assistant capabilities
Earned ago 15, 2025 EDT
Introduction to AI Applications
Earned ago 15, 2025 EDT
Conversational AI Voice and Chat Integrations
Earned ago 15, 2025 EDT
Virtual FAQ with data store agents
Earned ago 15, 2025 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned ago 14, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned ago 14, 2025 EDT
Configure AI Applications to optimize search results
Earned ago 14, 2025 EDT
Incorporate Generative Features into Conversational Agent flows
Earned ago 14, 2025 EDT
Stateful Flows
Earned ago 14, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned ago 13, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned ago 13, 2025 EDT
Build search and recommendations applications with AI Applications
Earned ago 13, 2025 EDT
Improve Vertex AI Search and Google Agentspace Search Results
Earned ago 13, 2025 EDT
Recommendations with AI Applications
Earned ago 13, 2025 EDT
Introduction to NotebookLM
Earned ago 12, 2025 EDT
Create Data Stores for Gen AI Applications
Earned ago 12, 2025 EDT
Evaluate Gen AI model and agent performance
Earned ago 12, 2025 EDT
Deploy a RAG application with vector search in Firestore
Earned ago 12, 2025 EDT
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned ago 12, 2025 EDT
Model evaluation on Vertex AI
Earned ago 12, 2025 EDT
Operaciones de aprendizaje automático (MLOps) con Vertex AI: Evaluación de modelos
Earned ago 10, 2025 EDT
Implement Hybrid Search
Earned ago 10, 2025 EDT
Implement RAG with Vertex AI
Earned ago 10, 2025 EDT
Crea embeddings, búsqueda de vectores y RAG con BigQuery
Earned ago 10, 2025 EDT
Edit images with Imagen
Earned ago 10, 2025 EDT
Vertex AI Search and Google Agentspace UI Configurations
Earned ago 9, 2025 EDT
Vertex AI Search and Google Agentspace Analytics
Earned ago 9, 2025 EDT
Generate and Edit Media with Imagen, Gemini, and Veo
Earned ago 9, 2025 EDT
Build Gen AI solutions using Model Garden models and APIs
Earned ago 9, 2025 EDT
Improve Performance by Fine-Tuning Foundation Models
Earned ago 9, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned ago 6, 2025 EDT
Empower Gen AI apps with tool use
Earned ago 6, 2025 EDT
Engineer Effective Prompts for Generative Models
Earned ago 5, 2025 EDT
Explore Google's Gen AI Models
Earned ago 5, 2025 EDT
Introduction to CES and Conversational Agents
Earned ago 4, 2025 EDT
Generative Playbooks
Earned jul 24, 2025 EDT
Certification Learning Path: Professional Cloud DevOps Engineer
Earned ene 15, 2024 EST
Introducción a Terraform para Google Cloud
Earned ene 21, 2023 EST
Almacenamiento de registros y supervisión en Google Cloud
Earned ene 21, 2023 EST
Infraestructura confiable de Google Cloud: El diseño y el proceso
Earned ene 20, 2023 EST
Desarrolla una cultura de SRE de Google
Earned ene 19, 2023 EST
Aspectos básicos de Google Cloud: Infraestructura principal
Earned ene 17, 2023 EST
Escala con Google Cloud Operations
Earned sep 18, 2022 EDT
Moderniza infraestructura y aplicaciones con Google Cloud
Earned sep 11, 2022 EDT
Explora la transformación de datos con Google Cloud
Earned sep 4, 2022 EDT
Transformación digital con Google Cloud
Earned ago 14, 2022 EDT
Migration Summit 2022
Earned ago 8, 2022 EDT
Modernización de data lakes y almacenes de datos con Google Cloud
Earned jun 26, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals - Español
Earned jun 12, 2022 EDT
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 Conversational Insights skill badge to demonstrate your proficiency in analysing customer conversations with Conversational Insights. After completing this challenge, you will be ready to deploy Conversation 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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In this course you will learn the key architectural considerations that need to be taken into account when designing for the implementation of Conversational AI solutions. Please note Dialogflow CX was recently renamed to Conversational Agents and CCAI Insights was renamed to Conversational Insights.
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In this course, you will learn about advanced methods and tools to monitor the performance of your Conversational agent in Conversational Agents. Please note Dialogflow CX was recently renamed to Conversational Agents and this course is in the process of being updated to reflect the new product name for Dialogflow CX.
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This course explores the fundamentals of the feedback loop process for Conversational Agent development and introduces the native capabilities within Conversational Agents that support it. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational Agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, Virtual Agent, and CCAI Insights.
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In this course you will learn how Agent Assist can enhance the productivity of human agents while interacting with customers through the chat channel.
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In this course you will learn how to leverage Conversational Insights to uncover hidden information from your contact center data to increase operational efficiency and drive data-driven business decisions. Please note Contact Center AI Insights were recently renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product name for Contact Center AI Insights.
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In this course you will learn how Conversational AI Agent Assist can help distill complex customer interactions into concise and clear summaries. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
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In this course you will learn how Agent Assist can enhance the productivity of human agents while interacting with customers through the voice channel, as well as the options available for integration with other platforms in the Conversational AI ecosystem.
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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!
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Complete the Extend Google Agentspace assistant capabilities skill badge to demonstrate your ability to extend Google Agentspace 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!
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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.
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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.
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In this course, you'll learn to develop generative agents that answer questions using websites, documents, or structured data. You will explore Vertex AI Applications and understand the advantages of data store agents, including their scalability and security.
You'll learn about different data store types and also discover how to connect data stores to agents and add personalization for enhanced responses.
Finally, you'll gain insights into common search configurations and troubleshooting techniques.
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Connect Conversational Agents to external systems and APIs to expand what agents can do, designing an end-to-end system that is resilient, fault-tolerant and secure.
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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!
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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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Explore the Generative AI features for Conversational Agents and how to incorporate them into stateful Flows.
Discover the possibilities with Generators, Generative Fallback, and Data Stores, as well as best practices and security settings for using these features.
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Discover flows in Conversational Agents and learn how to build deterministic chat and voice experiences with language models. Explore key concepts like drivers, intents, and entities, and how to use them to create conversational agents.
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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!
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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
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.
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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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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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Data stores represent a simple way to make content available to many types of generative AI applications, including search applications, recommendations engines, Google Agentspace 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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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!
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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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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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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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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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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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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
Initial deployment of Vertex AI Search and Google Agentspace 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 Google Agentspace apps.
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AI Applications provides built-in analytics for your Vertex AI Search and Google Agentspace apps. Learn what metrics are tracked and how to view them in this course.
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Generate engaging media with Google's foundation models for media. Create new images with Imagen, or edit your existing photos by adding details or outpainting to create a wider view. Replace backgrounds to put your products in new scenes. And learn the basics of generating videos with Veo!
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Complete the Develop solutions using Model Garden APIs skill badge to demonstrate your ability to use Vertex AI Model Garden features when building gen AI solutions. You will use partner APIs such as Anthropic Claude ands Meta Llama, deploy and programatically access foundation models like Gemma and Stable Diffusion XL and access Vertex AI 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 developed!
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Model tuning is an effective way to customize large models to your tasks. It's a key step to improve the model's quality and efficiency. Model tuning provides benefits such as higher quality results for your specific tasks and increased model robustness. You learn some of the tuning options available in Vertex AI and when to use them.
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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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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.
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This course explores the different products and capabilities of Customer Engagement Suite (CES) and Conversational agents. Additionally, it covers the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel.
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Explore Playbooks and their implementation of the ReAct pattern for building Conversational Agents. You will learn how to construct a Playbook, set up goals and instructions to build a chatbot in natural language, and learn to test and deploy your solution.
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Good news! There’s a new updated version of this learning path available for you!Open the new Professional Cloud DevOps Engineer Certification Learning Path to begin, once you’ve selected the new path all your current progress will be reflected in the new version.
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En este curso, se proporciona una introducción al uso de Terraform para Google Cloud. Permite que los participantes describan cómo se puede usar Terraform para implementar infraestructura como código y aplicar algunas de sus características y funcionalidades clave para crear y administrar la infraestructura de Google Cloud.
Además, obtendrán experiencia práctica en la compilación y administración de recursos de Google Cloud con Terraform.
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En este curso, se enseñan a los participantes técnicas para supervisar y mejorar el rendimiento de la infraestructura y las aplicaciones en Google Cloud.
Con una combinación de presentaciones, demostraciones, labs prácticos y
casos de éxito del mundo real, los asistentes adquieren experiencia para supervisar la pila completa, administrar y analizar registros en tiempo real, depurar código en producción, hacer un seguimiento de los cuellos de botella en el rendimiento de las aplicaciones y crear perfiles de uso de CPU y memoria.
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En este curso, los estudiantes aprenderán a crear soluciones altamente confiables y eficientes en Google Cloud usando patrones de diseño comprobados. Es la continuación de los cursos Diseño de arquitecturas con Google Compute Engine o Diseño de arquitecturas con Google Kubernetes Engine. Se presupone que los equipos tienen experiencia práctica con las tecnologías que se abordan en cualquiera de esos cursos. A través de una serie de presentaciones, actividades de diseño y labs prácticos, los participantes aprenderán a definir y equilibrar los requisitos comerciales y técnicos para diseñar implementaciones de Google Cloud altamente confiables y disponibles, así como seguras y rentables.
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En muchas organizaciones de TI, los incentivos no se alinean con los desarrolladores, que buscan agilidad, y los operadores, que se enfocan en la estabilidad. La ingeniería de confiabilidad de sitios (SRE) es el enfoque que usa Google para alinear los incentivos entre los equipos de desarrollo y operaciones, y brindar asistencia en la producción de servicios fundamentales. Adoptar las prácticas técnicas y culturales de la SRE puede ayudar a mejorar la colaboración entre las empresas y sus departamentos de TI. En este curso se presentan las prácticas clave de la SRE de Google y la función importante que tienen los líderes empresariales y de TI en el éxito de la adopción organizacional de este enfoque.
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Aspectos básicos de Google Cloud: Infraestructura principal presenta conceptos y terminología importantes para trabajar con Google Cloud. Mediante videos y labs prácticos, en este curso se presentan y comparan muchos de los servicios de procesamiento y almacenamiento de Google Cloud, junto con importantes recursos y herramientas de administración de políticas.
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Organizaciones de todos los tamaños están aprovechando la potencia y flexibilidad de la nube para transformar sus operaciones. Sin embargo, administrar y escalar eficazmente los recursos en la nube puede ser una tarea compleja.
En Escala con Google Cloud Operations, se exploran los conceptos fundamentales de las operaciones modernas, la confiabilidad y la resiliencia en la nube, y cómo Google Cloud puede ayudar con esas tareas.
Como parte de la ruta de aprendizaje de Líder digital de Cloud, el objetivo de este curso es ayudar a las personas a crecer en su rol y desarrollar el futuro de su empresa.
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Muchas empresas tradicionales usan aplicaciones y sistemas heredados que no pueden adecuarse a las expectativas de los clientes actuales. A menudo los líderes empresariales deben elegir entre mantener sus sistemas de TI anticuados o invertir en nuevos productos y servicios. En “Moderniza infraestructura y aplicaciones con Google Cloud”, se exploran estos desafíos y se ofrecen soluciones para superarlos con la tecnología de la nube.
Como parte de la ruta de aprendizaje de Líder digital de Cloud, el objetivo de este curso es ayudar a las personas a crecer en su rol y desarrollar el futuro de su empresa.
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La tecnología de Cloud puede aportar un gran valor a una organización y, si la combinamos con datos, podemos generar aún más valor y crear nuevas experiencias para los clientes.En “Explora la transformación de datos con Google Cloud”, se explora el valor que los datos pueden aportar a una organización y las formas en que Google Cloud puede hacer que estos sean útiles y accesibles.Como parte de la ruta de aprendizaje de Líder digital de Cloud, el objetivo de este curso es ayudar a las personas a crecer en su rol y desarrollar el futuro de su empresa.
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Existe mucho entusiasmo sobre la tecnología de la nube y la transformación digital, pero también muchas preguntas sin respuesta.
Por ejemplo: ¿Qué es la tecnología de la nube? ¿Qué significa transformación digital? ¿De qué manera puede ser útil la tecnología de la nube para la organización? ¿Cómo se puede comenzar?
Si te has hecho alguna de esas preguntas, estás en el lugar indicado. En este curso, se proporciona una descripción general de los tipos de oportunidades y desafíos a los que las empresas suelen enfrentarse en su recorrido de transformación digital. Si quieres aprender sobre la tecnología de la nube para sobresalir en tu rol y ayudar a desarrollar el futuro de tu empresa, entonces este curso introductorio sobre transformación digital es para ti. Este curso es parte de la ruta de aprendizaje de Líder digital de Cloud.
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The GSI Migration Summit is a curated collection of hands-on labs and quests that provide coverage of application migration. Security and analytics labs and quests have been added to provide coverage of key platform concepts and services.
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Los dos componentes clave de cualquier canalización de datos son los data lakes y los almacenes de datos. En este curso, se destacan los casos de uso de cada tipo de almacenamiento y se analizan en profundidad las soluciones de data lakes y almacenes disponibles en Google Cloud con detalles técnicos. Además, en este curso, se describen el rol del ingeniero en datos, los beneficios de las canalizaciones de datos exitosas para las operaciones comerciales y por qué la ingeniería de datos debe realizarse en un entorno de nube.
Este el primer curso de la serie Ingeniería de datos en Google Cloud. Después de completar este curso, inscríbete en el curso Creación de flujos de procesamiento de datos por lotes en Google Cloud.
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En este curso, aprenderás sobre los productos y servicios de macrodatos y aprendizaje automático de Google Cloud involucrados en el ciclo de vida de datos a IA. También explorarás los procesos, los desafíos y los beneficios de crear una canalización de macrodatos y modelos de aprendizaje automático con Vertex AI en Google Cloud.
Improve customer and agent satisfaction with Agent Assist
Earned ago 15, 2025 EDT
Analyze patterns in conversational data with Conversational Insights
Earned ago 15, 2025 EDT
Customer Engagement Suite with Google AI Architecture
Earned ago 15, 2025 EDT
Advanced Performance Measurement
Earned ago 15, 2025 EDT
Basic Performance Measurement
Earned ago 15, 2025 EDT
Introduction to Agent Assist and its GenAI Capabilities
Earned ago 15, 2025 EDT
Conversational Insights
Earned ago 15, 2025 EDT
Agent Summarization (Custom)
Earned ago 15, 2025 EDT
Integrate Agent Assist with Telephony and Chatbot Systems
Earned ago 15, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned ago 15, 2025 EDT
Extend Google Agentspace assistant capabilities
Earned ago 15, 2025 EDT
Introduction to AI Applications
Earned ago 15, 2025 EDT
Conversational AI Voice and Chat Integrations
Earned ago 15, 2025 EDT
Virtual FAQ with data store agents
Earned ago 15, 2025 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned ago 14, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned ago 14, 2025 EDT
Configure AI Applications to optimize search results
Earned ago 14, 2025 EDT
Incorporate Generative Features into Conversational Agent flows
Earned ago 14, 2025 EDT
Stateful Flows
Earned ago 14, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned ago 13, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned ago 13, 2025 EDT
Build search and recommendations applications with AI Applications
Earned ago 13, 2025 EDT
Improve Vertex AI Search and Google Agentspace Search Results
Earned ago 13, 2025 EDT
Recommendations with AI Applications
Earned ago 13, 2025 EDT
Introduction to NotebookLM
Earned ago 12, 2025 EDT
Create Data Stores for Gen AI Applications
Earned ago 12, 2025 EDT
Evaluate Gen AI model and agent performance
Earned ago 12, 2025 EDT
Deploy a RAG application with vector search in Firestore
Earned ago 12, 2025 EDT
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned ago 12, 2025 EDT
Model evaluation on Vertex AI
Earned ago 12, 2025 EDT
Operaciones de aprendizaje automático (MLOps) con Vertex AI: Evaluación de modelos
Earned ago 10, 2025 EDT
Implement Hybrid Search
Earned ago 10, 2025 EDT
Implement RAG with Vertex AI
Earned ago 10, 2025 EDT
Crea embeddings, búsqueda de vectores y RAG con BigQuery
Earned ago 10, 2025 EDT
Edit images with Imagen
Earned ago 10, 2025 EDT
Vertex AI Search and Google Agentspace UI Configurations
Earned ago 9, 2025 EDT
Vertex AI Search and Google Agentspace Analytics
Earned ago 9, 2025 EDT
Generate and Edit Media with Imagen, Gemini, and Veo
Earned ago 9, 2025 EDT
Build Gen AI solutions using Model Garden models and APIs
Earned ago 9, 2025 EDT
Improve Performance by Fine-Tuning Foundation Models
Earned ago 9, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned ago 6, 2025 EDT
Empower Gen AI apps with tool use
Earned ago 6, 2025 EDT
Engineer Effective Prompts for Generative Models
Earned ago 5, 2025 EDT
Explore Google's Gen AI Models
Earned ago 5, 2025 EDT
Introduction to CES and Conversational Agents
Earned ago 4, 2025 EDT
Generative Playbooks
Earned jul 24, 2025 EDT
Certification Learning Path: Professional Cloud DevOps Engineer
Earned ene 15, 2024 EST
Introducción a Terraform para Google Cloud
Earned ene 21, 2023 EST
Almacenamiento de registros y supervisión en Google Cloud
Earned ene 21, 2023 EST
Infraestructura confiable de Google Cloud: El diseño y el proceso
Earned ene 20, 2023 EST
Desarrolla una cultura de SRE de Google
Earned ene 19, 2023 EST
Aspectos básicos de Google Cloud: Infraestructura principal
Earned ene 17, 2023 EST
Escala con Google Cloud Operations
Earned sep 18, 2022 EDT
Moderniza infraestructura y aplicaciones con Google Cloud
Earned sep 11, 2022 EDT
Explora la transformación de datos con Google Cloud
Earned sep 4, 2022 EDT
Transformación digital con Google Cloud
Earned ago 14, 2022 EDT
Migration Summit 2022
Earned ago 8, 2022 EDT
Modernización de data lakes y almacenes de datos con Google Cloud
Earned jun 26, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals - Español
Earned jun 12, 2022 EDT