Aplica tus habilidades en la consola de Google Cloud
Iuliia Al-Saadi
Miembro desde 2023
Liga de Oro
63608 puntos
Guía de estudio para obtener la certificación de Ingeniero profesional de aprendizaje automático
Earned jun 21, 2025 EDT
Operaciones de aprendizaje automático (MLOps) para la IA generativa
Earned jun 1, 2025 EDT
Deploy Google Agentspace
Earned feb 28, 2025 EST
Acelera el intercambio de conocimientos con Gemini Enterprise
Earned feb 28, 2025 EST
Build generative virtual agents with API integrations
Earned ene 19, 2025 EST
Build deterministic Virtual Agent enhanced with data stores
Earned nov 8, 2024 EST
Generative Playbooks
Earned nov 8, 2024 EST
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned nov 8, 2024 EST
Extend CX Agents with Vertex AI Search data stores
Earned nov 3, 2024 EST
Stateful Flows
Earned oct 27, 2024 EDT
Webhook fundamentals
Earned oct 26, 2024 EDT
Conversation Design Fundamentals
Earned oct 26, 2024 EDT
DFCX Virtual Agent Delivery Framework
Earned oct 26, 2024 EDT
Customer Experience with Google AI Architecture
Earned oct 25, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned oct 25, 2024 EDT
Preparación para el proceso de certificación Associate Cloud Engineer
Earned ago 15, 2024 EDT
Performance Measurement
Earned jun 28, 2024 EDT
Aspectos básicos de Google Cloud: Infraestructura principal
Earned feb 16, 2024 EST
Contact Center as a Service Implementation
Earned feb 16, 2024 EST
Handle Consumer Interactions with CCAIP - Español
Earned ene 24, 2024 EST
Search with AI Applications
Earned ene 17, 2024 EST
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned ene 17, 2024 EST
Virtual Agent Development in Dialogflow ES for Software Devs
Earned ene 17, 2024 EST
Customer Experiences with Contact Center AI
Earned ene 16, 2024 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned ene 15, 2024 EST
Text Prompt Engineering Techniques
Earned ene 9, 2024 EST
Introducción a Vertex AI Studio
Earned ene 6, 2024 EST
Creación de modelos de generación de subtítulos de imágenes
Earned ene 6, 2024 EST
Modelos de transformadores y modelo BERT
Earned ene 6, 2024 EST
Arquitectura de codificador-decodificador
Earned ene 5, 2024 EST
Mecanismo de atención
Earned ene 5, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned ene 3, 2024 EST
Conversational AI on Vertex AI and Dialogflow CX
Earned ene 3, 2024 EST
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned dic 29, 2023 EST
Generative AI Explorer : Vertex AI
Earned dic 29, 2023 EST
Introducción a la generación de imágenes
Earned dic 28, 2023 EST
Generative AI for Business Leaders
Earned dic 28, 2023 EST
Implementing Generative AI with Vertex AI
Earned dic 27, 2023 EST
Generative AI Fundamentals
Earned dic 27, 2023 EST
IA responsable: Aplica los principios de la IA con Google Cloud
Earned dic 10, 2023 EST
Generative AI Fundamentals - Español
Earned dic 10, 2023 EST
Introducción a la IA responsable
Earned dic 10, 2023 EST
Introducción a los modelos de lenguaje grandes
Earned dic 9, 2023 EST
Introducción a la IA generativa
Earned dic 9, 2023 EST
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned jun 16, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned jun 15, 2023 EDT
CCAI Operations and Implementation
Earned jun 14, 2023 EDT
Contact Center AI: Conversational Design Fundamentals
Earned jun 14, 2023 EDT
Virtual Agent Development in Dialogflow CX for Software Devs
Earned jun 14, 2023 EDT
DEPRECATED Create Conversational AI Agents with Dialogflow CX
Earned jun 14, 2023 EDT
Este curso ayuda a los participantes a crear un plan de estudios para el examen de certificación de PMLE (Professional Machine Learning Engineer). Los estudiantes 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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El objetivo de este curso es equiparte con los conocimientos y las herramientas que necesitas para descubrir los desafíos únicos que enfrentan los equipos de MLOps cuando implementan y administran modelos de IA generativa, y explorar cómo Vertex AI fortalece a los equipos de IA para optimizar los procesos de MLOps y alcanzar el éxito en los proyectos de IA generativa.
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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 Gemini Enterprise, una herramienta potente diseñada para ayudar a los empleados a encontrar información específica en almacenes de documentos, correos electrónicos, chats, sistemas de tickets y otras fuentes de datos, todo desde una sola barra de búsqueda. El asistente de Gemini Enterprise también puede ayudarte a generar ideas, investigar, crear esquemas de documentos y realizar acciones como invitar a compañeros de trabajo a un evento de calendario para acelerar el trabajo de conocimiento y la colaboración de todo tipo.
(Ten en cuenta que Gemini Enterprise antes se llamaba Google Agentspace, por lo que puede haber referencias al nombre anterior del producto en este curso).
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Demonstrate 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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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 quality assurance best practices and the tools available in Conversational Agents to ensure production grade quality during Conversational Agent development, as well as the key tenets for the creation of a robust end to end deployment lifecycle. 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'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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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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In this course, you will learn the important role that different types of webhooks play in Conversational Agents development, and how to effectively integrate them into your routine configuration of a Conversational Agent. 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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This course explores the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel. 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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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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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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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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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 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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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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An AI-driven Contact Center as a Service (CCaaS) solution that is built natively on Google Cloud. The Implementation course provides Partners with essential training about the delivery of key features and functionality. The course explores how to leverage your key understanding of the product into successful customer implementation engagements with tips, best practices, guides, and more.
Note: This product was previously called Contact Center AI (CCAI) Platform you may see references to that name still in the course, however the course is technically correct.
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En este curso, se les enseña a los agentes de centros de contacto sobre las principales características y funcionalidades de Contact Center AI Platform (CCAIP). CCAIP es una plataforma de centro de contacto unificada que acelera las capacidades de las organizaciones para usar y, luego, implementar CCAI sin depender de múltiples proveedores de tecnología. Este curso está especialmente dirigido a personas que se encargan de gestionar interacciones con los consumidores a través de chat y llamadas.
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(Previously named "Developing apps with Vertex AI Agent Builder: Search". Please note there maybe instances in this course where previous product names and titles are used)
Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities.
This course teaches you to use AI Applications to integrate enterprise-grade generative AI search.
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This course explores the different products and capabilities of Gemini Enterprise for Customer Experience 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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Welcome to "CCAI Virtual Agent Development in Dialogflow ES for Software Developers", the third course in the "Customer Experiences with Contact Center AI" series.
In this course, learn to use additional features of Dialogflow ES for your virtual agent, create a Firestore instance to store customer data, and implement cloud functions that access the data. With the ability to read and write customer data, learner’s virtual agents are conversationally dynamic and able to defer contact center volume from human agents. You'll be introduced to methods for testing your virtual agent and logs which can be useful for understanding issues that arise. Lastly, learn about connectivity protocols, APIs, and platforms for integrating your virtual agent with services already established for your business.
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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.
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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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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
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En este curso, se presenta Vertex AI Studio, una herramienta para interactuar con modelos de IA generativa, crear prototipos de ideas de negocio y llevarlas a producción. A través de un caso de uso envolvente, lecciones atractivas y un lab práctico, explorarás el ciclo de vida desde la instrucción hasta el producto y aprenderás cómo aprovechar Vertex AI Studio para aplicaciones multimodales de Gemini, diseño de instrucciones, ingeniería de instrucciones y ajuste de modelos. El objetivo es permitirte desbloquear el potencial de la IA generativa en tus proyectos con Vertex AI Studio.
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En este curso, se te enseña a crear un modelo de generación de leyendas de imágenes con el aprendizaje profundo. Aprenderás sobre los distintos componentes de los modelos de generación de leyendas de imágenes, como el codificador y el decodificador, y cómo entrenar y evaluar tu modelo. Al final del curso, podrás crear tus propios modelos y usarlos para generar leyendas de imágenes.
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En este curso, se presentan la arquitectura de transformadores y el modelo de Bidirectional Encoder Representations from Transformers (BERT). Aprenderás sobre los componentes principales de la arquitectura de transformadores, como el mecanismo de autoatención, y cómo se usa para crear el modelo BERT. También aprenderás sobre las diferentes tareas para las que puede usarse BERT, como la clasificación de texto, la respuesta de preguntas y la inferencia de lenguaje natural. Tardarás aproximadamente 45 minutos en completar este curso.
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En este curso, se brinda un resumen de la arquitectura de codificador-decodificador, una arquitectura de aprendizaje automático importante y potente para realizar tareas de secuencia por secuencia, como las de traducción automática, resúmenes de texto y respuestas a preguntas. Aprenderás sobre los componentes principales de la arquitectura de codificador-decodificador y cómo entrenar y entregar estos modelos. En la explicación del lab, programarás una implementación sencilla de la arquitectura de codificador-decodificador en TensorFlow para generar poemas desde un comienzo.
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Este curso es una introducción al mecanismo de atención, una potente técnica que permite a las redes neuronales enfocarse en partes específicas de una secuencia de entrada. Sabrás cómo funciona la atención y cómo puede utilizarse para mejorar el rendimiento de diversas tareas de aprendizaje automático, como la traducción automática, el resumen de textos y la respuesta a preguntas.
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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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In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.
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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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This content is deprecated. Please see the latest version of the course, here.
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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 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 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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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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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.
Más información
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 en el que se explora qué son los modelos de lenguaje grandes (LLM), sus casos de uso y cómo se puede utilizar el ajuste de instrucciones para mejorar el rendimiento de los LLM. También abarca las herramientas de Google para ayudarte a desarrollar tus propias aplicaciones de IA generativa.
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Este es un curso introductorio de microaprendizaje destinado a explicar qué es la IA generativa, cómo se utiliza y en qué se diferencia de los métodos de aprendizaje automático tradicionales. También abarca las herramientas de Google para ayudarte a desarrollar tus propias aplicaciones de IA generativa.
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Welcome to "Virtual Agent Development in Dialogflow ES 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). You will use Dialogflow ES to create virtual agents and test them using the Dialogflow ES simulator. This course also provides best practices on developing virtual agents. You will also be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations. Through a combination of presentations, demos, and hands-on labs, participants learn how to create virtual agents.
This is an intermediate course, intended for learners with the following types of roles:
Conversational designers: Designs the user experience of a virtual assistant. Translates the brand's business requirements into natural dialog flows.
Citizen developers: Creates new business applications fo…
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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.
Más información
Welcome to "CCAI Operations and Implementation", the fourth course in the "Customer Experiences with Contact Center AI" series. In this course, 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. In this course, you'll be introduced to Agent Assist and the technology it uses so you can delight your customers with the efficiencies and accuracy of services provided when customers require human agents, connectivity protocols, APIs, and platforms which you can use to create an integration between your virtual agent and the services already established for your business, Dialogflow's Environment Management tool for deployment of different versions of your virtual agent for various purposes, compliance measures and regulations you should be aware of when bringing your virtual agent to production, and you'll be given tips from virtua…
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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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Welcome to "Virtual Agent Development in Dialogflow CX for Software Devs", the third course in the "Customer Experiences with Contact Center AI" series. In this course, learn how to develop more customized customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to more advanced and customized handling for virtual agent conversations that need to look up and convey dynamic data, and methods available to you for testing your virtual agent and logs which can be useful for understanding issues that arise.
This is an intermediate course, intended for learners with the following type of role:
Software developers: Codes computer software in a programming language (e.g., C++, Python, Javascript) and often using an SDK/API.
Más información
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.
Guía de estudio para obtener la certificación de Ingeniero profesional de aprendizaje automático
Earned jun 21, 2025 EDT
Operaciones de aprendizaje automático (MLOps) para la IA generativa
Earned jun 1, 2025 EDT
Deploy Google Agentspace
Earned feb 28, 2025 EST
Acelera el intercambio de conocimientos con Gemini Enterprise
Earned feb 28, 2025 EST
Build generative virtual agents with API integrations
Earned ene 19, 2025 EST
Build deterministic Virtual Agent enhanced with data stores
Earned nov 8, 2024 EST
Generative Playbooks
Earned nov 8, 2024 EST
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned nov 8, 2024 EST
Extend CX Agents with Vertex AI Search data stores
Earned nov 3, 2024 EST
Stateful Flows
Earned oct 27, 2024 EDT
Webhook fundamentals
Earned oct 26, 2024 EDT
Conversation Design Fundamentals
Earned oct 26, 2024 EDT
DFCX Virtual Agent Delivery Framework
Earned oct 26, 2024 EDT
Customer Experience with Google AI Architecture
Earned oct 25, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned oct 25, 2024 EDT
Preparación para el proceso de certificación Associate Cloud Engineer
Earned ago 15, 2024 EDT
Performance Measurement
Earned jun 28, 2024 EDT
Aspectos básicos de Google Cloud: Infraestructura principal
Earned feb 16, 2024 EST
Contact Center as a Service Implementation
Earned feb 16, 2024 EST
Handle Consumer Interactions with CCAIP - Español
Earned ene 24, 2024 EST
Search with AI Applications
Earned ene 17, 2024 EST
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned ene 17, 2024 EST
Virtual Agent Development in Dialogflow ES for Software Devs
Earned ene 17, 2024 EST
Customer Experiences with Contact Center AI
Earned ene 16, 2024 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned ene 15, 2024 EST
Text Prompt Engineering Techniques
Earned ene 9, 2024 EST
Introducción a Vertex AI Studio
Earned ene 6, 2024 EST
Creación de modelos de generación de subtítulos de imágenes
Earned ene 6, 2024 EST
Modelos de transformadores y modelo BERT
Earned ene 6, 2024 EST
Arquitectura de codificador-decodificador
Earned ene 5, 2024 EST
Mecanismo de atención
Earned ene 5, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned ene 3, 2024 EST
Conversational AI on Vertex AI and Dialogflow CX
Earned ene 3, 2024 EST
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned dic 29, 2023 EST
Generative AI Explorer : Vertex AI
Earned dic 29, 2023 EST
Introducción a la generación de imágenes
Earned dic 28, 2023 EST
Generative AI for Business Leaders
Earned dic 28, 2023 EST
Implementing Generative AI with Vertex AI
Earned dic 27, 2023 EST
Generative AI Fundamentals
Earned dic 27, 2023 EST
IA responsable: Aplica los principios de la IA con Google Cloud
Earned dic 10, 2023 EST
Generative AI Fundamentals - Español
Earned dic 10, 2023 EST
Introducción a la IA responsable
Earned dic 10, 2023 EST
Introducción a los modelos de lenguaje grandes
Earned dic 9, 2023 EST
Introducción a la IA generativa
Earned dic 9, 2023 EST
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned jun 16, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned jun 15, 2023 EDT
CCAI Operations and Implementation
Earned jun 14, 2023 EDT
Contact Center AI: Conversational Design Fundamentals
Earned jun 14, 2023 EDT
Virtual Agent Development in Dialogflow CX for Software Devs
Earned jun 14, 2023 EDT
DEPRECATED Create Conversational AI Agents with Dialogflow CX
Earned jun 14, 2023 EDT