Analyze patterns in conversational data with Conversational Insights
Earned ago 6, 2025 EDT
Conversational Insights
Earned ago 6, 2025 EDT
Build Production-Ready Conversational Agents
Earned ago 6, 2025 EDT
Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned ago 6, 2025 EDT
Improve customer and agent satisfaction with Agent Assist
Earned ago 5, 2025 EDT
Agent Summarization (Custom)
Earned ago 5, 2025 EDT
Integrate Agent Assist with Telephony and Chatbot Systems
Earned ago 5, 2025 EDT
Introduction to Agent Assist and its GenAI Capabilities
Earned ago 5, 2025 EDT
Advanced Performance Measurement
Earned jun 23, 2025 EDT
Performance Measurement
Earned jun 23, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned jun 19, 2025 EDT
Conversational AI Voice and Chat Integrations
Earned jun 19, 2025 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned jun 18, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned jun 17, 2025 EDT
Virtual FAQ with data store agents
Earned jun 17, 2025 EDT
Incorporate Generative Features into Conversational Agent flows
Earned jun 16, 2025 EDT
Stateful Flows
Earned jun 16, 2025 EDT
Generative Playbooks
Earned jun 13, 2025 EDT
DFCX Virtual Agent Delivery Framework
Earned mar 24, 2025 EDT
Text Prompt Engineering Techniques
Earned mar 16, 2025 EDT
Deploy Google Agentspace
Earned mar 11, 2025 EDT
Acelera el intercambio de conocimientos con Agentspace
Earned mar 11, 2025 EDT
Build generative virtual agents with API integrations
Earned ene 19, 2025 EST
Build deterministic Virtual Agent enhanced with data stores
Earned ene 19, 2025 EST
Aspectos básicos de Google Cloud: Infraestructura principal
Earned ene 8, 2025 EST
Customer Engagement Suite with Google AI Architecture
Earned nov 18, 2024 EST
Intro to Conversational AI and Conversational AI Engagement Framework
Earned oct 30, 2024 EDT
Develop Advanced Enterprise Search and Conversation Applications
Earned abr 23, 2024 EDT
Custom Search with Embeddings in Vertex AI
Earned abr 11, 2024 EDT
Creación de modelos de generación de subtítulos de imágenes
Earned abr 11, 2024 EDT
Arquitectura de codificador-decodificador
Earned abr 5, 2024 EDT
Preparación para el proceso de certificación Associate Cloud Engineer
Earned abr 3, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned mar 29, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned mar 27, 2024 EDT
Búsqueda de vectores y embeddings
Earned mar 24, 2024 EDT
Implementing Generative AI with Vertex AI
Earned mar 23, 2024 EDT
Generative AI for Business Leaders
Earned feb 12, 2024 EST
Introduction to CES and Conversational Agents
Earned feb 9, 2024 EST
Introducción a la generación de imágenes
Earned dic 13, 2023 EST
IA responsable: Aplica los principios de la IA con Google Cloud
Earned dic 13, 2023 EST
Generative AI Fundamentals - Español
Earned dic 12, 2023 EST
Introducción a la IA responsable
Earned dic 12, 2023 EST
Introducción a la IA generativa
Earned dic 12, 2023 EST
Modelos de transformadores y modelo BERT
Earned jun 16, 2023 EDT
Mecanismo de atención
Earned jun 16, 2023 EDT
Contact Center AI: Conversational Design Fundamentals
Earned jun 15, 2023 EDT
Introducción a los modelos de lenguaje grandes
Earned jun 14, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned sep 20, 2022 EDT
How Google Does Machine Learning - Español
Earned jun 30, 2022 EDT
DEPRECATED Create Conversational AI Agents with Dialogflow CX
Earned abr 4, 2022 EDT
Ingeniería de la nube
Earned nov 5, 2021 EDT
Google Cloud Essentials
Earned sep 9, 2021 EDT
Prepara datos para las APIs de AA en Google Cloud
Earned ago 30, 2021 EDT
Google Cloud Big Data and Machine Learning Fundamentals - Español
Earned ago 20, 2021 EDT
Customer Experiences with Contact Center AI
Earned may 13, 2021 EDT
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 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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This course will equip you with the tools to develop complex conversational experiences in Conversational Agents using best practices to create production-ready 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…
Más información
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!
Más información
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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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 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. 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 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
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!
Más información
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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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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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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This course explores the best practices, methods and tools to programmatically lead CCAI virtual agent delivery. It includes a high level overview of the end to end journey for building and deploying a virtual agent, as well as the core tenets to create a strong delivery culture. Additionally, this course covers the best practices for workflow management, defect tracking, release management and post-release support to ensure optimal virtual agent performance.
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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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In this skill badge, you will demonstrate your ability to deploy Google Agentspace and set up data stores and actions. To learn these skills, we encourage you to take the course Accelerate Knowledge Exchange with Agentspace.
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Combina la experiencia en la búsqueda y la IA de Google con Agentspace, una herramienta empresarial 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 Agentspace 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.
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Demonstrate the ability to create and deploy generative virtual agents with natural language using Vertex AI Agent Builder and augment responses by integrating Gemini responses with third party APIs and your own data stores
You will use the following technologies and Google Cloud services:
Vertex AI Agent Builder
Gemini
Cloud Functions
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Demonstrate the ability to create and deploy deterministic virtual agents using Dialgflow CX and augment responses by grounding results on your own data integrating with Vertex AI Agent Builder data stores and leveraging Gemini for summarizations.
You will use the following technologies and Google Cloud services:
Vertex AI Agent Builder
Dialogflow CX
Gemini
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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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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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This is an introductory course to all solutions in the Conversational AI portfolio and the Gen AI features that are available to transform them. The course also explores the business case around Conversational AI, and the use cases and user personas addressed by the solution. 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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In this course, you'll use text embeddings for tasks like classification, outlier detection, text clustering and semantic search. You'll combine semantic search with the text generation capabilities of an LLM to build Retrieval Augmented Generation (RAG) solutions, such as for question-answering systems, using Google Cloud's Vertex AI and Google Cloud databases.
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This course explores Google Cloud technologies to create and generate embeddings. Embeddings are numerical representations of text, images, video and audio, and play a pivotal role in many tasks that involve the identification of similar items, like Google searches, online shopping recommendations, and personalized music suggestions. Specifically, you’ll use embeddings for tasks like classification, outlier detection, clustering and semantic search.
You’ll combine semantic search with the text generation capabilities of an LLM to build Retrieval Augmented Generation (RAG) systems and question-answering solutions, on your own proprietary data using Google Cloud’s Vertex AI.
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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 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 te permite estructurar tu preparación para el examen de Associate Cloud Engineer. Aprenderás sobre los dominios de Google Cloud que se incluyen en el examen y la forma de crear un plan de estudio para saber más de ellos.
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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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(This course was previously named Multimodal Prompt Engineering with Gemini and PaLM) This course teaches how to use Vertex AI Studio, a Google Cloud console tool for rapidly prototyping and testing generative AI models. You learn to test sample prompts, design your own prompts, and customize foundation models to handle tasks that meet your application's needs. Whether you are looking for text, chat, code, image or speech generative experiences Vertex AI Studio offers you an interface to work with and APIs to integrate your production application.
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En este curso, explorarás tecnologías, herramientas y aplicaciones de búsqueda potenciadas por IA. Aprende sobre las búsquedas semánticas utilizando embeddings de vectores, acerca de las búsquedas híbridas combinando enfoques semánticos y de palabras clave, y sobre la generación mejorada por recuperación (RAG) minimizando las alucinaciones como un agente de IA fundamentado. Adquiere experiencia práctica con Vector Search de Vertex AI para desarrollar tu motor de búsqueda inteligente.
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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 Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
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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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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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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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Completa los cursos Introduction to Generative AI, Introduction to Large Language Models e Introduction to Responsible AI para obtener una insignia de habilidad. Aprueba el cuestionario final para demostrar que entiendes los conceptos básicos sobre la IA generativa.
Una insignia de habilidad es una insignia digital que emite Google Cloud en reconocimiento de tu dominio de los productos y servicios de la plataforma. Para compartir tu insignia de habilidad, establece tu perfil como público y agrega la insignia a tu perfil de redes sociales.
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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 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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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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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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Welcome to "CCAI Conversational Design Fundamentals", the first course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to design customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will be introduced to CCAI and its three pillars (Dialogflow, Agent Assist, and Insights), and the concepts behind conversational experiences and how the study of them influences the design of your virtual agent. After taking this course you will be prepared to take your virtual agent design to the next level of intelligent conversation.
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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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Welcome to "Virtual Agent Development in Dialogflow CX for Citizen Devs", the second course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to develop customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations using Dialogflow CX.
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¿Cuáles son las prácticas recomendadas para implementar el aprendizaje automático en Google Cloud? ¿Qué es Vertex AI y cómo se puede utilizar la plataforma para crear, entrenar e implementar rápidamente modelos de aprendizaje automático de AutoML sin escribir una sola línea de código? ¿Qué es el aprendizaje automático? ¿Qué tipos de problemas puede solucionar?
Google considera que el aprendizaje automático es diferente: se trata de proporcionar una plataforma unificada para conjuntos de datos administrados, un almacén de atributos, una forma de crear, entrenar e implementar modelos de aprendizaje automático sin escribir una sola línea de código, así como proporcionar la capacidad de etiquetar datos y crear notebooks de Workbench utilizando frameworks como TensorFlow, SciKit-learn, Pytorch, R y otros. Vertex AI Platform también ofrece la posibilidad de entrenar modelos personalizados, crear canalizaciones de componentes y realizar predicciones en línea y por lotes. Además, analiza…
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Earn a skill badge by completing the Create Conversational AI Agents with Dialogflow CX quest, where you will learn how to create a conversational virtual agent, including how to: define intents and entities, use versions and environments, create conversational branching, and use IVR 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 this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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Este curso introductorio es único entre las demás ofertas de cursos. Los labs se seleccionaron para brindar a los profesionales de TI experiencia práctica con los temas y servicios que aparecen en la certificación Associate Cloud Engineer de Google Cloud. Este curso se compone de labs específicos que abarcan desde IAM y redes hasta la implementación de Kubernetes Engine, y que pondrán a prueba tus conocimientos sobre Google Cloud. Ten en cuenta que, si bien realizar estos labs te permitirá aumentar tus capacidades y habilidades, te recomendamos que además consultes la guía del examen y otros recursos de preparación disponibles.
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En esta Quest de nivel básico, adquirirá experiencia práctica en las herramientas y los servicios fundamentales de Google Cloud Platform. GCP Essentials es la primera Quest recomendada para el estudiante de Google Cloud. Ingresará con poco o ningún conocimiento previo sobre la nube, y saldrá con experiencia práctica que podrá aplicar a su primer proyecto de GCP. Desde la escritura de comandos de Cloud Shell y la implementación de su primera máquina virtual hasta la ejecución de aplicaciones en Kubernetes Engine o mediante el balanceo de cargas, GCP Essentials es una excelente introducción a las funciones básicas de la plataforma. En los videos de 1 minuto, se le explicarán los conceptos clave de cada lab.
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Completa la insignia de habilidad introductoria Prepara datos para las APIs de AA en Google Cloud y demuestra tus habilidades para realizar las siguientes actividades: limpiar datos con Dataprep de Trifacta, ejecutar canalizaciones de datos en Dataflow, crear clústeres y ejecutar trabajos de Apache Spark en Dataproc y llamar a APIs de AA, como la API de Cloud Natural Language, la API de Google Cloud Speech-to-Text y la API de Video Intelligence. Una insignia de habilidad es una insignia digital exclusiva que emite Google Cloud en reconocimiento de tu dominio de los productos y servicios de la plataforma, y que prueba tu capacidad de aplicar esos conocimientos en un entorno interactivo y práctico. Completa el curso y el lab de desafío de la evaluación final para recibir una insignia de habilidad que puedes compartir con tus contactos.
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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.
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Learn how to design, develop, and deploy customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You'll also learn some best practices for integrating conversational solutions with your existing contact center software, establishing a framework for human agent assistance, and implementing solutions securely and at scale.
Analyze patterns in conversational data with Conversational Insights
Earned ago 6, 2025 EDT
Conversational Insights
Earned ago 6, 2025 EDT
Build Production-Ready Conversational Agents
Earned ago 6, 2025 EDT
Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned ago 6, 2025 EDT
Improve customer and agent satisfaction with Agent Assist
Earned ago 5, 2025 EDT
Agent Summarization (Custom)
Earned ago 5, 2025 EDT
Integrate Agent Assist with Telephony and Chatbot Systems
Earned ago 5, 2025 EDT
Introduction to Agent Assist and its GenAI Capabilities
Earned ago 5, 2025 EDT
Advanced Performance Measurement
Earned jun 23, 2025 EDT
Performance Measurement
Earned jun 23, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned jun 19, 2025 EDT
Conversational AI Voice and Chat Integrations
Earned jun 19, 2025 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned jun 18, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned jun 17, 2025 EDT
Virtual FAQ with data store agents
Earned jun 17, 2025 EDT
Incorporate Generative Features into Conversational Agent flows
Earned jun 16, 2025 EDT
Stateful Flows
Earned jun 16, 2025 EDT
Generative Playbooks
Earned jun 13, 2025 EDT
DFCX Virtual Agent Delivery Framework
Earned mar 24, 2025 EDT
Text Prompt Engineering Techniques
Earned mar 16, 2025 EDT
Deploy Google Agentspace
Earned mar 11, 2025 EDT
Acelera el intercambio de conocimientos con Agentspace
Earned mar 11, 2025 EDT
Build generative virtual agents with API integrations
Earned ene 19, 2025 EST
Build deterministic Virtual Agent enhanced with data stores
Earned ene 19, 2025 EST
Aspectos básicos de Google Cloud: Infraestructura principal
Earned ene 8, 2025 EST
Customer Engagement Suite with Google AI Architecture
Earned nov 18, 2024 EST
Intro to Conversational AI and Conversational AI Engagement Framework
Earned oct 30, 2024 EDT
Develop Advanced Enterprise Search and Conversation Applications
Earned abr 23, 2024 EDT
Custom Search with Embeddings in Vertex AI
Earned abr 11, 2024 EDT
Creación de modelos de generación de subtítulos de imágenes
Earned abr 11, 2024 EDT
Arquitectura de codificador-decodificador
Earned abr 5, 2024 EDT
Preparación para el proceso de certificación Associate Cloud Engineer
Earned abr 3, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned mar 29, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned mar 27, 2024 EDT
Búsqueda de vectores y embeddings
Earned mar 24, 2024 EDT
Implementing Generative AI with Vertex AI
Earned mar 23, 2024 EDT
Generative AI for Business Leaders
Earned feb 12, 2024 EST
Introduction to CES and Conversational Agents
Earned feb 9, 2024 EST
Introducción a la generación de imágenes
Earned dic 13, 2023 EST
IA responsable: Aplica los principios de la IA con Google Cloud
Earned dic 13, 2023 EST
Generative AI Fundamentals - Español
Earned dic 12, 2023 EST
Introducción a la IA responsable
Earned dic 12, 2023 EST
Introducción a la IA generativa
Earned dic 12, 2023 EST
Modelos de transformadores y modelo BERT
Earned jun 16, 2023 EDT
Mecanismo de atención
Earned jun 16, 2023 EDT
Contact Center AI: Conversational Design Fundamentals
Earned jun 15, 2023 EDT
Introducción a los modelos de lenguaje grandes
Earned jun 14, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned sep 20, 2022 EDT
How Google Does Machine Learning - Español
Earned jun 30, 2022 EDT
DEPRECATED Create Conversational AI Agents with Dialogflow CX
Earned abr 4, 2022 EDT
Ingeniería de la nube
Earned nov 5, 2021 EDT
Google Cloud Essentials
Earned sep 9, 2021 EDT
Prepara datos para las APIs de AA en Google Cloud
Earned ago 30, 2021 EDT
Google Cloud Big Data and Machine Learning Fundamentals - Español
Earned ago 20, 2021 EDT
Customer Experiences with Contact Center AI
Earned may 13, 2021 EDT