Guide de préparation pour devenir ingénieur professionnel en machine learning
Earned avr. 19, 2026 EDT
Customer Experience with Google AI Architecture
Earned fév. 11, 2026 EST
Analyze patterns in conversational data with Customer Experience Insights
Earned fév. 9, 2026 EST
Leverage data with Customer Experience Insights
Earned fév. 9, 2026 EST
Improve customer and agent satisfaction with Agent Assist
Earned fév. 3, 2026 EST
Integrate Agent Assist with Telephony and Chatbot Systems
Earned fév. 3, 2026 EST
Introduction to Agent Assist and its GenAI Capabilities
Earned fév. 1, 2026 EST
Extend virtual agents with webhooks, tools, and Messenger integration
Earned jan. 26, 2026 EST
Conversational AI Voice and Chat Integrations
Earned jan. 26, 2026 EST
Extend Conversational Agents Functionality with Webhooks and Tools
Earned jan. 21, 2026 EST
Build basic Conversational Agents with Playbooks and Flows
Earned jan. 19, 2026 EST
Extend CX Agents with Vertex AI Search data stores
Earned jan. 19, 2026 EST
Incorporate Generative Features into Conversational Agent Flows
Earned jan. 19, 2026 EST
Create Conversational Agents with Stateful Flows
Earned jan. 14, 2026 EST
Generative Playbooks
Earned jan. 13, 2026 EST
Introduction to Gemini Enterprise for Customer Experience
Earned jan. 11, 2026 EST
Implémenter Cloud Load Balancing pour Compute Engine
Earned nov. 30, 2025 EST
Configurer un environnement de développement d'applications sur Google Cloud
Earned nov. 29, 2025 EST
Créer une infrastructure avec Terraform sur Google Cloud
Earned nov. 26, 2025 EST
Concepts fondamentaux de Google Cloud : infrastructure de base
Earned sept. 14, 2025 EDT
Ce cours aide les participants à créer un plan de formation pour l'examen de certification afin de devenir ingénieur professionnel en machine learning (PMLE, Professional Machine Learning Engineer). Ils découvriront l'ampleur et le champ d'application des domaines abordés lors de l'examen. Ils détermineront s'ils sont prêts à passer l'examen et créeront leur propre plan de formation.
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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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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 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!
En savoir plus
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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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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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!
En savoir plus
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!
En savoir plus
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 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 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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Terminez le cours d'introduction Implémenter Cloud Load Balancing pour Compute Engine pour recevoir un badge démontrant vos compétences dans les domaines suivants : Créer et déployer des machines virtuelles dans Compute Engine Configurer des équilibreurs de charge réseau et d'application.
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Suivez le cours Configurer un environnement de développement d'applications sur Google Cloud et obtenez un badge de compétence. Dans ce cours, vous apprendrez à créer et connecter une infrastructure cloud axée sur le stockage à l'aide des fonctionnalités de base des technologies suivantes Cloud Storage, Identity and Access Management, Cloud Functions et Pub/Sub.
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Terminez le cours intermédiaire Créer une infrastructure avec Terraform sur Google Cloud pour recevoir un badge démontrant vos compétences dans les domaines suivants : les principes d'Infrastructure as Code (IaC) avec Terraform, le provisionnement et la gestion des ressources Google Cloud avec des configurations Terraform, la gestion efficace des états (local et distant) et la modularisation du code Terraform à des fins de réutilisabilité et d'organisation.
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"Concepts fondamentaux de Google Cloud : infrastructure de base" présente les concepts et les termes à connaître pour utiliser Google Cloud. À travers des vidéos et des ateliers pratiques, il décrit et compare la plupart des services Google Cloud de calcul et de stockage, ainsi que des outils importants de gestion des ressources et des règles.
Guide de préparation pour devenir ingénieur professionnel en machine learning
Earned avr. 19, 2026 EDT
Customer Experience with Google AI Architecture
Earned fév. 11, 2026 EST
Analyze patterns in conversational data with Customer Experience Insights
Earned fév. 9, 2026 EST
Leverage data with Customer Experience Insights
Earned fév. 9, 2026 EST
Improve customer and agent satisfaction with Agent Assist
Earned fév. 3, 2026 EST
Integrate Agent Assist with Telephony and Chatbot Systems
Earned fév. 3, 2026 EST
Introduction to Agent Assist and its GenAI Capabilities
Earned fév. 1, 2026 EST
Extend virtual agents with webhooks, tools, and Messenger integration
Earned jan. 26, 2026 EST
Conversational AI Voice and Chat Integrations
Earned jan. 26, 2026 EST
Extend Conversational Agents Functionality with Webhooks and Tools
Earned jan. 21, 2026 EST
Build basic Conversational Agents with Playbooks and Flows
Earned jan. 19, 2026 EST
Extend CX Agents with Vertex AI Search data stores
Earned jan. 19, 2026 EST
Incorporate Generative Features into Conversational Agent Flows
Earned jan. 19, 2026 EST
Create Conversational Agents with Stateful Flows
Earned jan. 14, 2026 EST
Generative Playbooks
Earned jan. 13, 2026 EST
Introduction to Gemini Enterprise for Customer Experience
Earned jan. 11, 2026 EST
Implémenter Cloud Load Balancing pour Compute Engine
Earned nov. 30, 2025 EST
Configurer un environnement de développement d'applications sur Google Cloud
Earned nov. 29, 2025 EST
Créer une infrastructure avec Terraform sur Google Cloud
Earned nov. 26, 2025 EST
Concepts fondamentaux de Google Cloud : infrastructure de base
Earned sept. 14, 2025 EDT