Build generative virtual agents with API integrations
Earned jun 7, 2026 EDT
Build deterministic Virtual Agent enhanced with data stores
Earned jun 4, 2026 EDT
Infraestructura elástica de Google Cloud: Escalamiento y automatización
Earned jun 2, 2026 EDT
Cómo comenzar a usar Google Kubernetes Engine
Earned may 29, 2026 EDT
Incorporate Generative Features into Conversational Agent Flows
Earned may 28, 2026 EDT
Desarrolla aplicaciones con Cloud Run y Google Cloud: conceptos básicos
Earned may 28, 2026 EDT
Text Prompt Engineering Techniques
Earned may 25, 2026 EDT
Selecciona una base de datos de Google Cloud para tus aplicaciones
Earned may 25, 2026 EDT
Build Production-Ready Conversational Agents
Earned may 24, 2026 EDT
Google Cloud: Prompt Engineering Guide
Earned may 23, 2026 EDT
Create Agents with Generative Playbooks
Earned may 21, 2026 EDT
Infraestructura esencial de Google Cloud: servicios principales
Earned may 11, 2026 EDT
Customer Experience Agent Studio: Fundamentals
Earned may 10, 2026 EDT
Conversational AI Voice and Chat Integrations
Earned may 10, 2026 EDT
Introduction to Gemini Enterprise for Customer Experience
Earned may 7, 2026 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned may 7, 2026 EDT
Build agents with CX Agent Studio
Earned may 7, 2026 EDT
Create Conversational Agents with Stateful Flows
Earned may 4, 2026 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned may 4, 2026 EDT
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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En este curso acelerado a pedido, se presentan los servicios flexibles y completos de infraestructura y plataforma que proporciona Google Cloud. A través de una combinación de clases por video, demostraciones y labs prácticos, los participantes exploran y, también, implementan elementos de las soluciones, como la interconexión segura de redes, el balanceo de cargas, el ajuste de escala automático, la automatización de la infraestructura y los servicios administrados.
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Te damos la bienvenida al curso Introducción a Google Kubernetes Engine. Si te interesa Kubernetes, una capa de software ubicada entre tus aplicaciones y la infraestructura de tu hardware, estás en el lugar correcto. Google Kubernetes Engine te ofrece Kubernetes como un servicio administrado en Google Cloud.
El objetivo de este curso es presentar los conceptos básicos de Google Kubernetes Engine o GKE, como se conoce comúnmente, y cómo alojar aplicaciones en contenedores y ejecutarlas en Google Cloud. El curso comienza con una introducción básica a Google Cloud, seguida de una descripción general de los contenedores y Kubernetes, la arquitectura de Kubernetes y las operaciones de esta plataforma.
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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, se presenta la plataforma sin servidores Cloud Run para ejecutar aplicaciones.
Aquí, aprenderás los aspectos básicos de Cloud Run, su modelo de recursos y el ciclo de vida de los contenedores.
Aprenderás sobre identidades de servicios, cómo controlar el acceso a los servicios y cómo desarrollar y probar tu aplicación localmente antes de implementarla en Cloud Run.
En el curso, también se te enseña cómo integrarte con otros servicios en Google Cloud para que puedas crear aplicaciones con todas las funciones.
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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, aprenderás a analizar y elegir la base de datos adecuada a tus necesidades para desarrollar eficazmente aplicaciones en Google Cloud. Explorarás bases de datos relacionales y NoSQL, te sumergirás en Cloud SQL, AlloyDB y Spanner, y aprenderás a alinear las fortalezas de la base de datos con los requisitos de tu aplicación, incluidos los de la IA generativa. Obtén experiencia práctica para configurar la búsqueda de vectores y migrar aplicaciones a la nube.
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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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Google Cloud : Prompt Engineering Guide examines generative AI tools, how they work. We'll explore how to combine Google Cloud knowledge with prompt engineering to improve Gemini responses.
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This course will teach you how to build conversational experiences for Conversational Agents using Generative Playbooks. You'll start with an introduction to playbooks and learn how to set up your first one. You'll also learn about the importance of testing, as well as key production considerations like quota limits and integration. The course concludes with a case study that shows how to use playbooks for generative steering.
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En este curso acelerado a pedido, se presentan los servicios flexibles y completos de infraestructura y plataforma que proporciona Google Cloud, con un enfoque en Compute Engine. Mediante una serie de clases por video, demostraciones y labs prácticos, los participantes pueden explorar y, también, implementar elementos de soluciones, incluidos componentes de infraestructura, como redes, sistemas y servicios de aplicaciones. En este curso, también se aborda la implementación de soluciones prácticas, incluidas las claves de encriptación proporcionadas por el cliente, la administración de seguridad y accesos, las cuotas y la facturación, y la supervisión de recursos.
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This course aims to equip conversational designers and builders with the concepts and practical skills to design, build, and test sophisticated, multi-agent, and multimodal Customer Experience agents using Customer Experience Agent Studio (CX Agent Studio).
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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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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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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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The objective of this challenge lab is to demonstrate your proficiency configuring agents in CX Agent Studio. You create agents, sub-agents and tools and run conversations in the preview agent.
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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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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.
Build generative virtual agents with API integrations
Earned jun 7, 2026 EDT
Build deterministic Virtual Agent enhanced with data stores
Earned jun 4, 2026 EDT
Infraestructura elástica de Google Cloud: Escalamiento y automatización
Earned jun 2, 2026 EDT
Cómo comenzar a usar Google Kubernetes Engine
Earned may 29, 2026 EDT
Incorporate Generative Features into Conversational Agent Flows
Earned may 28, 2026 EDT
Desarrolla aplicaciones con Cloud Run y Google Cloud: conceptos básicos
Earned may 28, 2026 EDT
Text Prompt Engineering Techniques
Earned may 25, 2026 EDT
Selecciona una base de datos de Google Cloud para tus aplicaciones
Earned may 25, 2026 EDT
Build Production-Ready Conversational Agents
Earned may 24, 2026 EDT
Google Cloud: Prompt Engineering Guide
Earned may 23, 2026 EDT
Create Agents with Generative Playbooks
Earned may 21, 2026 EDT
Infraestructura esencial de Google Cloud: servicios principales
Earned may 11, 2026 EDT
Customer Experience Agent Studio: Fundamentals
Earned may 10, 2026 EDT
Conversational AI Voice and Chat Integrations
Earned may 10, 2026 EDT
Introduction to Gemini Enterprise for Customer Experience
Earned may 7, 2026 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned may 7, 2026 EDT
Build agents with CX Agent Studio
Earned may 7, 2026 EDT
Create Conversational Agents with Stateful Flows
Earned may 4, 2026 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned may 4, 2026 EDT