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Thomas Chen

Date d'abonnement : 2023

Contact Center as a Service Implementation Earned oct. 2, 2025 EDT
Advanced Performance Measurement Earned sept. 26, 2025 EDT
Customer Engagement Suite with Google AI Architecture Earned sept. 17, 2025 EDT
Analyze patterns in conversational data with Conversational Insights Earned sept. 17, 2025 EDT
Conversational Insights Earned sept. 12, 2025 EDT
Evaluate Gen AI model and agent performance Earned sept. 9, 2025 EDT
Edit images with Imagen Earned sept. 8, 2025 EDT
Performance Measurement Earned sept. 8, 2025 EDT
Build Gen AI solutions using Model Garden models and APIs Earned sept. 8, 2025 EDT
Conversational AI on Vertex AI and Dialogflow CX Earned sept. 4, 2025 EDT
Improve Performance by Fine-Tuning Foundation Models Earned sept. 3, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows Earned août 29, 2025 EDT
Virtual FAQ with data store agents Earned août 28, 2025 EDT
Incorporate Generative Features into Conversational Agent flows Earned août 28, 2025 EDT
Stateful Flows Earned août 27, 2025 EDT
Generative Playbooks Earned août 26, 2025 EDT
Conversational AI and its Engagement Framework Earned août 25, 2025 EDT
Engineer Effective Prompts for Generative Models Earned août 1, 2025 EDT
Explore Google's Gen AI Models Earned août 1, 2025 EDT
Deploy Multi-Agent Systems with Agent Development Kit (ADK) and Agent Engine Earned juil. 21, 2025 EDT
Orchestrate LLM solutions with LangChain Earned juil. 18, 2025 EDT
Orchestrating Gen AI Applications with LangChain Earned juil. 14, 2025 EDT
Build generative virtual agents with API integrations Earned juin 14, 2025 EDT
Introduction to CES and Conversational Agents Earned juin 10, 2025 EDT
Deploy Google Agentspace Earned juin 5, 2025 EDT
Accélérer l'échange de connaissances avec Agentspace Earned mai 27, 2025 EDT
Introduction to Google Distributed Cloud connected Earned oct. 16, 2024 EDT
Architecture encodeur/décodeur Earned août 15, 2024 EDT
Mécanisme d'attention Earned août 13, 2024 EDT
Conception de requêtes dans Vertex AI Earned août 6, 2024 EDT
Generative AI Fundamentals Earned août 3, 2024 EDT
Build and Deploy a Generative AI solution using a RAG framework Earned juin 25, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning Earned juin 24, 2024 EDT
Introduction à la génération d'images Earned juin 17, 2024 EDT
Chronicle SIEM Fundamentals Earned juin 16, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps Earned juin 14, 2024 EDT
Text Prompt Engineering Techniques Earned mai 17, 2024 EDT
Introduction à Vertex AI Studio Earned mai 11, 2024 EDT
Generative AI for Business Leaders Earned mai 11, 2024 EDT
IA responsable : appliquer les principes concernant l'IA avec Google Cloud Earned mai 9, 2024 EDT
Introduction à l'IA responsable Earned mai 7, 2024 EDT
Présentation des grands modèles de langage Earned mai 7, 2024 EDT
Présentation de l'IA générative Earned mai 3, 2024 EDT
VM Migration for Partners Earned avr. 11, 2023 EDT
Deploying and Managing Google Cloud VMware Engine Earned avr. 6, 2023 EDT

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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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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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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Complete the Analyze patterns in conversational data with Conversational Insights skill badge to demonstrate your proficiency in analysing customer conversations with Conversational Insights. After completing this challenge, you will be ready to deploy Conversation 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 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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Complete the Evaluate Gen AI model and agent performance skill badge to demonstrate your ability to use the Gen AI evaluation service. You will evaluate models to select the best model for a given task, compare models against each other and evaluate the performance of 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!

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Complete the Edit images with Imagen skill badge to demonstrate your skills with Imagen's mask modes and editing modes to edit images according to certain prompts. 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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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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Complete the Develop solutions using Model Garden APIs skill badge to demonstrate your ability to use Vertex AI Model Garden features when building gen AI solutions. You will use partner APIs such as Anthropic Claude ands Meta Llama, deploy and programatically access foundation models like Gemma and Stable Diffusion XL and access Vertex AI Endpoints. 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 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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Model tuning is an effective way to customize large models to your tasks. It's a key step to improve the model's quality and efficiency. Model tuning provides benefits such as higher quality results for your specific tasks and increased model robustness. You learn some of the tuning options available in Vertex AI and when to use them.

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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!

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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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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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Transform your understanding of customer service with this course on the Customer Engagement Suite (CES) and its powerful generative AI capabilities. You'll start by tracing the journey of contact centers, understanding how they've evolved and where gen AI is propelling them next. Then, you'll gain a deep understanding of the core building blocks within the CES solution, seeing how each component contributes to delivering exceptional customer experiences. The course concludes by exploring the robust business case for CES, along with practical use cases and the various user personas that benefit from this innovative solution.

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Learn a variety of strategies and techniques to engineer effective prompts for generative models

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Learn how to leverage Gemini multimodal capabilities to process and generate text, images, and audio and to integrate Gemini through APIs to perform tasks such as content creation and summarization.

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In this course, you’ll learn to use the Google Agent Development Kit to build complex, multi-agent systems. You will build agents equipped with tools, and connect them with parent-child relationships and flows to define how they interact. You’ll run your agents locally and deploy them to Vertex AI Agent Engine to run as a managed agentic flow, with infrastructure decisions and resource scaling handled by Agent Engine. Please note these labs are based off a pre-released version of this product. There may be some lag on these labs as we provide maintenance updates.

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Learn to use LangChain to call Google Cloud LLMs and Generative AI Services and Datastores to simplify complex applications' code.

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This course equips full-stack mobile and web developers with the skills to integrate generative AI features into their applications using LangChain. You'll learn how to leverage LangChain’s capabilities for backend flows and seamless model execution, all within the familiar environment of Python. The course guides you through the entire process, from prototyping to production, ensuring a smooth journey in building next-generation AI-powered applications.

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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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This course explores the different products and capabilities of Customer Engagement Suite (CES) 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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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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In this course, you will learn about GDC connected (previously known as GDC Edge), an offering from Google Distributed Cloud. This course provides both a business and technical overview of GDC connected, exploring its key features and target customers. Participants will gain insights into GDC connected's value proposition and learn how to effectively communicate its benefits to potential clients, enabling them to qualify for sales opportunities.

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Ce cours offre un aperçu de l'architecture encodeur/décodeur, une architecture de machine learning performante souvent utilisée pour les tâches "seq2seq", telles que la traduction automatique, la synthèse de texte et les questions-réponses. Vous découvrirez quels sont les principaux composants de l'architecture encodeur/décodeur, et comment entraîner et exécuter ces modèles. Dans le tutoriel d'atelier correspondant, vous utiliserez TensorFlow pour coder une implémentation simple de cette architecture afin de générer un poème en partant de zéro.

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Ce cours présente le mécanisme d'attention, une technique efficace permettant aux réseaux de neurones de se concentrer sur des parties spécifiques d'une séquence d'entrée. Vous découvrirez comment fonctionne l'attention et comment l'utiliser pour améliorer les performances de diverses tâches de machine learning, dont la traduction automatique, la synthèse de texte et les réponses aux questions.

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Terminez le cours d'introduction Conception de requêtes dans Vertex AI pour recevoir un badge démontrant vos compétences dans les domaines suivants : le prompt engineering (ingénierie des requêtes), l'analyse d'images et les techniques d'IA générative multimodale dans Vertex AI. Découvrez comment élaborer des requêtes efficaces, guider les résultats de l'IA générative et appliquer des modèles Gemini à des scénarios marketing concrets. Un badge de compétence est un badge numérique exclusif délivré par Google Cloud. Il atteste de votre expertise des produits et services Google Cloud et de votre capacité à mettre en pratique vos connaissances dans un environnement concret et interactif. Terminez ce cours et passez l'évaluation finale de l'atelier challenge pour recevoir un badge de compétence que vous pourrez partager avec votre réseau.

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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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Demonstrate your ability to implement updated prompt engineering techniques and utilize several of Gemini's key capacilities including multimodal understanding and function calling. Then integrate generative AI into a RAG application deployed to Cloud Run. This course contains labs that are to be used as a test environment. They are deployed to test your understanding as a learner with a limited scope. These technologies can be used with fewer limitations in a real world environment.

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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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Ce cours présente les modèles de diffusion, une famille de modèles de machine learning qui s'est récemment révélée prometteuse dans le domaine de la génération d'images. Les modèles de diffusion trouvent leur origine dans la physique, et plus précisément dans la thermodynamique. Au cours des dernières années, ils ont gagné en popularité dans la recherche et l'industrie. Ils sont à la base de nombreux modèles et outils Google Cloud avancés de génération d'images. Ce cours vous présente les bases théoriques des modèles de diffusion, et vous explique comment les entraîner et les déployer sur Vertex AI.

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This course will provide you with an overview of SIEM technology to set the stage for the differentiation and expansion of capabilities that Chronicle SIEM provides.

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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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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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Ce cours présente Vertex AI Studio, un outil permettant d'interagir avec des modèles d'IA générative, de prototyper des idées commerciales et de les envoyer en production. Au moyen d'un cas d'utilisation immersif, de leçons captivantes et d'un atelier pratique, vous allez découvrir le cycle de vie de la requête au produit. Vous apprendrez également à utiliser Vertex AI Studio pour les applications multimodales Gemini, la conception de requêtes, le prompt engineering (ingénierie des requêtes) et le réglage de modèles. L'objectif est de vous permettre d'exploiter tout le potentiel de l'IA générative dans vos projets avec Vertex AI Studio.

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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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Avec l'essor de l'utilisation de l'intelligence artificielle et du machine learning en entreprise, il est de plus en plus important de développer ces technologies de manière responsable. Pour beaucoup, le véritable défi réside dans la mise en pratique de l'IA responsable, qui s'avère bien plus complexe que dans la théorie. Si vous souhaitez découvrir comment opérationnaliser l'IA responsable dans votre organisation, ce cours est fait pour vous. Dans ce cours, vous allez apprendre comment Google Cloud procède actuellement, en s'appuyant sur des bonnes pratiques et les enseignements tirés, afin de vous fournir un framework pour élaborer votre propre approche d'IA responsable.

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Ce cours de micro-apprentissage, qui s'adresse aux débutants, explique ce qu'est l'IA responsable, souligne son importance et décrit comment Google l'implémente dans ses produits. Il présente également les sept principes de l'IA de Google.

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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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This course provides comprehensive skills on VM migration, from the initial assessment through the final implementation through presentations, demonstrations, and whiteboard session.

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This course enables partners to help customers extend their on-premises VMware environments to Google Cloud using Google Cloud VMware Engine. Partners will learn how to architect Google Cloud VMware Engine migration solutions that allow customers to move virtual machines to the cloud with minimal risk. The course also instructs partners on how to solve real-world VMware integration and migration problems.

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