Extend Google Agentspace assistant capabilities
Earned avr. 15, 2025 EDT
Service Orchestration and Choreography on Google Cloud
Earned avr. 6, 2025 EDT
Developing Applications with Google Cloud: Foundations
Earned avr. 5, 2025 EDT
Guide de préparation pour devenir ingénieur professionnel en machine learning
Earned avr. 5, 2025 EDT
App Deployment, Debugging, and Performance - Français
Earned mars 30, 2025 EDT
Concepts fondamentaux de Google Cloud : infrastructure de base
Earned mars 20, 2025 EDT
Deploy Google Agentspace
Earned mars 18, 2025 EDT
Accélérer l'échange de connaissances avec Agentspace
Earned mars 15, 2025 EDT
Build generative virtual agents with API integrations
Earned jan. 16, 2025 EST
Advanced Performance Measurement
Earned jan. 15, 2025 EST
Incorporate Generative Features into Conversational Agent flows
Earned jan. 5, 2025 EST
Advanced Webhook Concepts
Earned jan. 1, 2025 EST
Building Complex Self-Service Experiences in Conversational Agents
Earned jan. 1, 2025 EST
Generative Playbooks
Earned déc. 31, 2024 EST
Building Complex Self-Service Experiences in Conversational Agents
Earned déc. 25, 2024 EST
Conversational AI Voice and Chat Integrations
Earned déc. 25, 2024 EST
Agent Summarization (Custom)
Earned déc. 25, 2024 EST
Integrate Agent Assist with Telephony and Chatbot Systems
Earned déc. 25, 2024 EST
Introduction to Agent Assist and its GenAI Capabilities
Earned déc. 21, 2024 EST
Conversational Insights
Earned déc. 1, 2024 EST
Build deterministic Virtual Agent enhanced with data stores
Earned nov. 30, 2024 EST
Virtual FAQ with data store agents
Earned nov. 30, 2024 EST
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned nov. 29, 2024 EST
Basic Performance Measurement
Earned nov. 25, 2024 EST
Webhook fundamentals
Earned nov. 23, 2024 EST
Stateful Flows
Earned nov. 21, 2024 EST
Conversation Design Fundamentals
Earned nov. 17, 2024 EST
DFCX Virtual Agent Delivery Framework
Earned nov. 9, 2024 EST
Customer Engagement Suite with Google AI Architecture
Earned oct. 10, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned oct. 7, 2024 EDT
Configure and Maintain CCAIP as an Admin - Français
Earned oct. 4, 2024 EDT
Manage Functions and Reporting with CCAIP - Français
Earned sept. 16, 2024 EDT
Handle Consumer Interactions with CCAIP - Français
Earned sept. 11, 2024 EDT
Présentation des grands modèles de langage
Earned avr. 16, 2024 EDT
Présentation de l'IA générative
Earned août 17, 2023 EDT
Virtual Agent Development in Dialogflow ES for Software Devs
Earned sept. 30, 2022 EDT
Virtual Agent Development in Dialogflow CX for Software Devs
Earned sept. 19, 2022 EDT
Ingénierie cloud
Earned avr. 22, 2022 EDT
Google Cloud Essentials
Earned avr. 21, 2022 EDT
Customer Experiences with Contact Center AI
Earned avr. 6, 2022 EDT
Complete the Extend Google Agentspace assistant capabilities skill badge to demonstrate your ability to extend Google Agentspace assistant's capabilities with actions, grounding with Google Search, and a conversational agent.
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
This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.
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In this course, you learn the fundamentals of application development on Google Cloud. You learn best practices for cloud applications, and how to select compute and data options to match your application use cases. You're introduced to generative AI and how it's used to help build applications. You learn about authentication and authorization, application deployment, continuous integration and delivery, and monitoring and performance tuning for your applications running in Google Cloud. Using lectures and hands-on labs, you learn how to get started building and running applications on Google Cloud.
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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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Course Description:
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Concepts fondamentaux de Google Cloud : Core Infrastructure 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.
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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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Combinez l'expertise de Google dans les domaines de la recherche et de l'IA grâce à Agentspace. Cet outil professionnel est conçu pour aider les collaborateurs à trouver des informations précises dans des documents stockés, des e-mails, des conversations, des systèmes de suivi des demandes et d'autres sources de données, le tout grâce à une simple barre de recherche. L'assistant Agentspace peut également les aider à trouver des idées, faire des recherches, résumer des documents et exécuter des tâches comme inviter des collègues à un événement d'agenda pour faciliter la collaboration et l'exploitation des connaissances.
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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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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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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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This course explores advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Conversational Agent self-service experiences. 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 will equip you with the tools to develop complex conversational experiences in Conversational Agents capable of identifying the user intent and routing it to the right self service flow.
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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.
En savoir plus
This course will equip you with the tools to develop complex conversational experiences in Conversational Agents capable of identifying the user intent and routing it to the right self service flow. 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.
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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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 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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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
En savoir plus
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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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.
En savoir plus
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. 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, Virtual Agent, and CCAI Insights.
En savoir plus
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 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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Le cours "Configure and Maintain CCAIP as an Admin" fournit aux utilisateurs finaux des connaissances de base sur les caractéristiques essentielles, les fonctionnalités, les informations de configuration et les rapports les plus pertinents pour le rôle d'administrateur. Il est particulièrement adapté aux administrateurs chargés du fonctionnement du centre de contact ainsi qu'à ceux qui analysent, dépannent et configurent la plate-forme afin de répondre au mieux aux demandes des clients. Ce programme examine certains aspects de la surveillance et de la création de rapports. Toutefois, ces sujets sont abordés plus en détail dans le cours intitulé "Managing Functions and Reporting with CCAIP".
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Le cours "Manage Functions and Reporting with CCAI Platform" apporte aux utilisateurs finaux des connaissances de base sur les fonctionnalités essentielles, la navigation, la surveillance, la création de rapports et les informations de configuration qui leur sont les plus utiles. Il s'adresse principalement aux équipes managériales des centres de contact, chargées de surveiller l'efficacité, les performances et les objectifs de KPI de l'ensemble des interactions avec les consommateurs. Bien que ce programme aborde certains paramètres et certaines options de configuration, il traite majoritairement de la fonctionnalité de création de rapports dans CCAI Platform.
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Ce cours fait découvrir aux agents des centres de contact les principales fonctionnalités de Contact Center AI Platform (CCAIP) qui leur sont destinées. CCAIP est une plate-forme de centre de contact unifiée qui permet aux organisations d'utiliser et de déployer CCAI plus rapidement, sans avoir à passer par plusieurs fournisseurs de technologies. Ce cours est particulièrement indiqué aux agents qui interagissent avec les clients par chat et par téléphone.
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Ce cours de micro-apprentissage, qui s'adresse aux débutants, explique ce que sont les grands modèles de langage (LLM). Il inclut des cas d'utilisation et décrit comment améliorer les performances des LLM grâce au réglage des requêtes. Il présente aussi les outils Google qui vous aideront à développer votre propre application d'IA générative.
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Ce cours de micro-apprentissage, qui s'adresse aux débutants, explique ce qu'est l'IA générative, décrit à quoi elle sert et souligne ce qui la distingue des méthodes de machine learning traditionnel. Il présente aussi les outils Google qui vous aideront à développer votre propre application d'IA générative.
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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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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.
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Ce cours d'introduction est unique en son genre parmi les autres offres de cours. Il se compose d'ateliers pratiques conçus pour permettre aux professionnels de l'informatique de se familiariser avec les sujets et les services au programme de la certification Google Cloud Certified Associate Cloud Engineer. De l'IAM à la gestion de réseaux en passant par le déploiement avec Kubernetes Engine, vous allez suivre dans ce cours des ateliers spécifiques qui mettront à l'épreuve vos connaissances sur Google Cloud. Attention : même si ces ateliers constituent une bonne base pour développer vos compétences, nous vous recommandons de consulter en supplément le guide de l'examen et les autres ressources de préparation disponibles.
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Cette quête d'introduction se compose d'ateliers pratiques qui vous permettent de vous familiariser avec les outils et services de base de Google Cloud Platform. "GCP Essentials" est la première quête recommandée pour les personnes s'intéressant à Google Cloud. Vous pouvez la suivre sans aucune connaissance (ou presque) du cloud et, une fois la quête terminée, vous disposerez de compétences pratiques qui vous seront utiles pour n'importe quel projet GCP. De l'écriture de lignes de commande Cloud Shell au déploiement de votre première machine virtuelle en passant par l'exécution d'applications sur Kubernetes Engine avec l'équilibrage de charge, "GCP Essentials" constitue une excellente introduction aux fonctionnalités de base de la plate-forme. Des vidéos d'une minute résument les concepts clés de ces ateliers.
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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.
Extend Google Agentspace assistant capabilities
Earned avr. 15, 2025 EDT
Service Orchestration and Choreography on Google Cloud
Earned avr. 6, 2025 EDT
Developing Applications with Google Cloud: Foundations
Earned avr. 5, 2025 EDT
Guide de préparation pour devenir ingénieur professionnel en machine learning
Earned avr. 5, 2025 EDT
App Deployment, Debugging, and Performance - Français
Earned mars 30, 2025 EDT
Concepts fondamentaux de Google Cloud : infrastructure de base
Earned mars 20, 2025 EDT
Deploy Google Agentspace
Earned mars 18, 2025 EDT
Accélérer l'échange de connaissances avec Agentspace
Earned mars 15, 2025 EDT
Build generative virtual agents with API integrations
Earned jan. 16, 2025 EST
Advanced Performance Measurement
Earned jan. 15, 2025 EST
Incorporate Generative Features into Conversational Agent flows
Earned jan. 5, 2025 EST
Advanced Webhook Concepts
Earned jan. 1, 2025 EST
Building Complex Self-Service Experiences in Conversational Agents
Earned jan. 1, 2025 EST
Generative Playbooks
Earned déc. 31, 2024 EST
Building Complex Self-Service Experiences in Conversational Agents
Earned déc. 25, 2024 EST
Conversational AI Voice and Chat Integrations
Earned déc. 25, 2024 EST
Agent Summarization (Custom)
Earned déc. 25, 2024 EST
Integrate Agent Assist with Telephony and Chatbot Systems
Earned déc. 25, 2024 EST
Introduction to Agent Assist and its GenAI Capabilities
Earned déc. 21, 2024 EST
Conversational Insights
Earned déc. 1, 2024 EST
Build deterministic Virtual Agent enhanced with data stores
Earned nov. 30, 2024 EST
Virtual FAQ with data store agents
Earned nov. 30, 2024 EST
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned nov. 29, 2024 EST
Basic Performance Measurement
Earned nov. 25, 2024 EST
Webhook fundamentals
Earned nov. 23, 2024 EST
Stateful Flows
Earned nov. 21, 2024 EST
Conversation Design Fundamentals
Earned nov. 17, 2024 EST
DFCX Virtual Agent Delivery Framework
Earned nov. 9, 2024 EST
Customer Engagement Suite with Google AI Architecture
Earned oct. 10, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned oct. 7, 2024 EDT
Configure and Maintain CCAIP as an Admin - Français
Earned oct. 4, 2024 EDT
Manage Functions and Reporting with CCAIP - Français
Earned sept. 16, 2024 EDT
Handle Consumer Interactions with CCAIP - Français
Earned sept. 11, 2024 EDT
Présentation des grands modèles de langage
Earned avr. 16, 2024 EDT
Présentation de l'IA générative
Earned août 17, 2023 EDT
Virtual Agent Development in Dialogflow ES for Software Devs
Earned sept. 30, 2022 EDT
Virtual Agent Development in Dialogflow CX for Software Devs
Earned sept. 19, 2022 EDT
Ingénierie cloud
Earned avr. 22, 2022 EDT
Google Cloud Essentials
Earned avr. 21, 2022 EDT
Customer Experiences with Contact Center AI
Earned avr. 6, 2022 EDT