Find, Explore and Deploy Model Garden Models
Earned ago 6, 2025 EDT
Guía de estudio para obtener la certificación de Ingeniero profesional de aprendizaje automático
Earned mar 4, 2025 EST
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned nov 4, 2024 EST
Performance Measurement
Earned oct 28, 2024 EDT
Build deterministic Virtual Agent enhanced with data stores
Earned oct 27, 2024 EDT
Webhook fundamentals
Earned oct 26, 2024 EDT
Stateful Flows
Earned oct 23, 2024 EDT
Conversation Design Fundamentals
Earned oct 14, 2024 EDT
DFCX Virtual Agent Delivery Framework
Earned oct 14, 2024 EDT
Extend CX Agents with Vertex AI Search data stores
Earned oct 6, 2024 EDT
Customer Experience with Google AI Architecture
Earned sep 29, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned sep 22, 2024 EDT
Aspectos básicos de Google Cloud: Infraestructura principal
Earned jun 18, 2024 EDT
Preparación para el proceso de certificación Associate Cloud Engineer
Earned jun 13, 2024 EDT
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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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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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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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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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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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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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 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'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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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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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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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.
Find, Explore and Deploy Model Garden Models
Earned ago 6, 2025 EDT
Guía de estudio para obtener la certificación de Ingeniero profesional de aprendizaje automático
Earned mar 4, 2025 EST
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned nov 4, 2024 EST
Performance Measurement
Earned oct 28, 2024 EDT
Build deterministic Virtual Agent enhanced with data stores
Earned oct 27, 2024 EDT
Webhook fundamentals
Earned oct 26, 2024 EDT
Stateful Flows
Earned oct 23, 2024 EDT
Conversation Design Fundamentals
Earned oct 14, 2024 EDT
DFCX Virtual Agent Delivery Framework
Earned oct 14, 2024 EDT
Extend CX Agents with Vertex AI Search data stores
Earned oct 6, 2024 EDT
Customer Experience with Google AI Architecture
Earned sep 29, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned sep 22, 2024 EDT
Aspectos básicos de Google Cloud: Infraestructura principal
Earned jun 18, 2024 EDT
Preparación para el proceso de certificación Associate Cloud Engineer
Earned jun 13, 2024 EDT