Unirse Acceder

Kumar Gaurav

Miembro desde 2025

Liga de Diamantes

21522 puntos
Preparación para el proceso de certificación Professional Data Engineer Earned dic 31, 2025 EST
Microsoft SQL Server to Cloud SQL Earned dic 12, 2025 EST
Crea data lakes y almacenes de datos en Google Cloud Earned dic 12, 2025 EST
Monitor and Manage Data in BigQuery Earned nov 26, 2025 EST
Conceptos básicos de BigQuery para profesionales de Teradata Earned nov 21, 2025 EST
Data Migration Tool Earned nov 17, 2025 EST
Teradata to BigQuery Earned nov 15, 2025 EST
BigQuery Migration Service Earned nov 14, 2025 EST
Deploy and Evaluate Model Garden Models Earned nov 11, 2025 EST
Engineer Effective Prompts for Generative Models Earned nov 10, 2025 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps Earned nov 10, 2025 EST
Extend Gemini with controlled generation and Tool use Earned nov 10, 2025 EST
Performance Measurement Earned nov 10, 2025 EST
Leverage best practices for developing, operating, and securing production-grade Conversational Agents Earned nov 10, 2025 EST
Deploy an Agent with Agent Development Kit (ADK) Earned nov 9, 2025 EST
Find, Explore and Deploy Model Garden Models Earned nov 9, 2025 EST
Extend virtual agents with webhooks, tools, and Messenger integration Earned nov 8, 2025 EST
Customer Experience with Google AI Architecture Earned nov 8, 2025 EST
Conversational AI Voice and Chat Integrations Earned nov 8, 2025 EST
Extend Conversational Agents Functionality with Webhooks and Tools Earned nov 8, 2025 EST
Build basic Conversational Agents with Playbooks and Flows Earned nov 8, 2025 EST
Incorporate Generative Features into Conversational Agent Flows Earned nov 8, 2025 EST
Operaciones de aprendizaje automático (MLOps) con Vertex AI: Evaluación de modelos Earned nov 8, 2025 EST
Deploy a RAG application with vector search in Firestore Earned nov 8, 2025 EST
Improve customer and agent satisfaction with Agent Assist Earned nov 8, 2025 EST
Extend CX Agents with Vertex AI Search data stores Earned nov 7, 2025 EST
Generative Playbooks Earned nov 7, 2025 EST
Stateful Flows Earned nov 7, 2025 EST
Introduction to Agent Assist and its GenAI Capabilities Earned nov 7, 2025 EST
Integrate Agent Assist with Telephony and Chatbot Systems Earned nov 7, 2025 EST
Agent Summarization (Custom) Earned nov 7, 2025 EST
Implement RAG with Vertex AI Earned nov 6, 2025 EST
Introduction to Gemini Enterprise for Customer Experience Earned nov 6, 2025 EST
Implement Hybrid Search Earned nov 6, 2025 EST
Crea embeddings, búsqueda de vectores y RAG con BigQuery Earned nov 6, 2025 EST
Extend Gemini Enterprise Assistant Capabilities Earned nov 5, 2025 EST
Introduction to NotebookLM Earned nov 4, 2025 EST
Acelera el intercambio de conocimientos con Gemini Enterprise Earned nov 4, 2025 EST
Configure AI Applications to optimize search results Earned nov 2, 2025 EST
Improve Vertex AI Search and Gemini Enterprise Search Results Earned nov 2, 2025 EST
Vertex AI Search and Gemini Enterprise Analytics Earned nov 2, 2025 EST
Vertex AI Search and Gemini Enterprise UI Configurations Earned nov 2, 2025 EST
Create and maintain Vertex AI Search data stores Earned nov 2, 2025 EST
Create Data Stores for Gen AI Applications Earned nov 1, 2025 EDT
Build search and recommendations applications with AI Applications Earned nov 1, 2025 EDT
Introduction to AI Applications Earned nov 1, 2025 EDT
Analyze patterns in conversational data with Customer Experience Insights Earned nov 1, 2025 EDT
Leverage data with Customer Experience Insights Earned nov 1, 2025 EDT
Create media search and media recommendations applications with AI Applications Earned oct 31, 2025 EDT
Recommendations with AI Applications Earned oct 31, 2025 EDT
Introducción a la IA generativa Earned ene 26, 2025 EST

Este curso ayuda a los participantes a crear un plan de estudio para el examen de certificación de PDE (Professional Data Engineer). Los alumnos conocerán la amplitud y el alcance de los dominios que se incluyen en el examen. Además, evaluarán su nivel de preparación para el examen y crearán un plan de estudio personal.

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This course aims to upskill Google Cloud partners to perform specific tasks of migrating data from Microsoft SQL Server to CloudSQL using the built-in replication capabilities of SQL Server. Sample data will be used during the migration. Learners will complete several labs that focus on the process of transferring schema, data, and related processes to corresponding Google Cloud products. One or more challenge labs will test the learner's understanding of the topics.

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Si bien los enfoques tradicionales de usar data lakes y almacenes de datos pueden ser eficaces, tienen deficiencias, en particular en entornos empresariales grandes. En este curso, se presenta el concepto del data lakehouse y los productos de Google Cloud que se usan para crear uno. Una arquitectura de lakehouse usa fuentes de datos de estándares abiertos y combina las mejores funciones de los data lakes y los almacenes de datos, lo que aborda muchas de sus deficiencias.

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This skill badge aims to evaluate a partner's ability to utilize BigQuery's features and capabilities to manage and analyze large datasets. Learners will gain hands-on experience through labs and achieve solid understanding of BigQuery's foundational concepts and features.

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Este curso abarca los aspectos fundamentales de BigQuery para profesionales que están familiarizados con los almacenes de datos en la nube basados en SQL en Teradata y quieren comenzar a trabajar en BigQuery. A través de contenido interactivo en las lecciones y labs prácticos, aprenderán a aprovisionar recursos, crear y compartir recursos de datos, transferir datos y optimizar el rendimiento de las consultas en BigQuery. También aprovecharán sus conocimientos de Teradata para conocer las similitudes y diferencias entre Teradata y BigQuery para comenzar a usar almacenes de datos en BigQuery.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with migrating from an Enterprise Data Warehouse (EDW) to BigQuery using the DMT tool and sample data. Learners will complete a lab that uses the DMT tool to transfer schema and data from Teradata to BigQuery.

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of Migration from Teradata to BigQuery using the Data Transfer Service and the Teradata TPT Export Utility. Sample Data will be used during both methods. Learners will complete a challenge lab that focuses on the process of transferring both schema, data and SQL from a Teradata data warehouse to BigQuery.

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In this course, you explore the four components that make up the BigQuery Migration Service. They are Migration Assessment, SQL Translation, Data Transfer Service, and Data Validation. You will use each of these tools to perform a migration using to BigQuery.

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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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Learn a variety of strategies and techniques to engineer effective prompts for generative models

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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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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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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. You will also learn about advanced methods and tools to monitor the performance of your Conversational agent in Conversational Agents.

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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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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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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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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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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.

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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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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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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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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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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 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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In this course, you'll learn to develop AI agents that answer questions using websites, documents, or structured data. You will explore 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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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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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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This course will focus on Agent Assist, an AI-powered tool designed to enhance customer service interactions. In this course, you will learn how Agent Assist can enhance the productivity of human agents while interacting with customers through the chat channel. You’ll learn how to take full advantage of Agent Assist from Gemini Enterprise for Customer Experience, and its range of Gen AI features and functionality.

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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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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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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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This course explores the different products and capabilities of Gemini Enterprise for Customer Experience, including CX Agent Studio, Agent Assist and CX Insights. 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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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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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 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!

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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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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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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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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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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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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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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!

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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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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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In this course you will learn how to leverage Customer Experience Insights (CX Insights) to uncover hidden information from your contact center data to increase operational efficiency and drive data-driven business decisions.

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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!

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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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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.

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