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Kartik Sujith
Date d'abonnement : 2021
Ligue d'Or
40670 points
Data Warehousing for Partners: Analyze Data with Looker
Earned juil. 10, 2025 EDT
Analyzing and Visualizing Data in Looker
Earned juil. 3, 2025 EDT
Premiers pas avec Looker
Earned juin 19, 2025 EDT
BI Reporting: Looker Visualization on BigQuery
Earned juin 16, 2025 EDT
Looker Explained
Earned juin 16, 2025 EDT
Configurer et gérer CCAIP en tant qu'administrateur
Earned fév. 21, 2025 EST
Gérer les fonctions et la création de rapports avec CCAIP
Earned fév. 21, 2025 EST
Gérer les interactions avec les clients à l'aide de CCAIP
Earned fév. 19, 2025 EST
[DEPRECATED] Accélérer l'échange de connaissances avec Gemini Enterprise
Earned fév. 17, 2025 EST
Text Prompt Engineering Techniques
Earned fév. 11, 2025 EST
[DEPRECATED] Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned fév. 11, 2025 EST
L'IA conversationnelle et son framework d'engagement
Earned nov. 25, 2024 EST
Build generative virtual agents with API integrations
Earned nov. 25, 2024 EST
Incorporate Generative Features into Conversational Agent Flows
Earned nov. 16, 2024 EST
[DEPRECATED] Building Complex Self-Service Experiences in Conversational Agents
Earned oct. 31, 2024 EDT
[DEPRECATED] Stateful Flows
Earned oct. 31, 2024 EDT
Generative Playbooks
Earned oct. 25, 2024 EDT
[DEPRECATED] Advanced Performance Measurement
Earned oct. 24, 2024 EDT
Advanced Webhook Concepts
Earned oct. 24, 2024 EDT
Building Complex Self-Service Experiences in Conversational Agents
Earned oct. 24, 2024 EDT
Conversational AI Voice and Chat Integrations
Earned oct. 24, 2024 EDT
Build deterministic Virtual Agent enhanced with data stores
Earned oct. 21, 2024 EDT
Extend CX Agents with Agent Search data stores
Earned oct. 21, 2024 EDT
[DEPRECATED] Conversational Agents Quality Assurance and Deployment Lifecycle
Earned oct. 21, 2024 EDT
Performance Measurement
Earned oct. 18, 2024 EDT
[DEPRECATED] Webhook fundamentals
Earned oct. 18, 2024 EDT
[DEPRECATED] Conversation Design Fundamentals
Earned oct. 18, 2024 EDT
DFCX Virtual Agent Delivery Framework
Earned oct. 18, 2024 EDT
Implement Enterprise Design Patterns with CX Agent Studio
Earned oct. 18, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned oct. 18, 2024 EDT
[DEPRECATED] Implementing Generative AI with Vertex AI
Earned oct. 12, 2023 EDT
Présentation des grands modèles de langage
Earned oct. 12, 2023 EDT
IA responsable : appliquer les principes concernant l'IA avec Google Cloud
Earned oct. 12, 2023 EDT
Generative AI Fundamentals - Français
Earned oct. 12, 2023 EDT
Introduction à l'IA responsable
Earned oct. 11, 2023 EDT
Présentation de l'IA générative
Earned juin 22, 2023 EDT
[DEPRECATED] Contact Center AI: Conversational Design Fundamentals
Earned juin 19, 2023 EDT
Virtual Agent Development in Dialogflow ES for Software Devs
Earned sept. 29, 2022 EDT
Virtual Agent Development in Dialogflow CX for Software Devs
Earned sept. 26, 2022 EDT
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned sept. 23, 2022 EDT
Customer Experiences with Contact Center AI
Earned juil. 5, 2021 EDT
This course explores how to leverage Looker to create data experiences and gain insights with modern business intelligence (BI) and reporting.
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In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
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Obtenez un badge de compétence en suivant le cours Premiers pas avec Looker, dans lequel vous apprendrez à analyser, visualiser et organiser des données à l'aide de Looker Studio et Looker.
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This workload aims to upskill Google Cloud partners to perform specific tasks for modernization using LookML on BigQuery. A proof-of-concept will take learners through the process of creating LookML visualizations on BigQuery. During this course, learners will be guided specifically on how to write Looker modeling language, also known as LookML and create semantic data models, and learn how LookML constructs SQL queries against BigQuery. At a high level, this course will focus on basic LookML to create and access BigQuery objects, and optimize BigQuery objects with LookML.
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By the end of this course, you should be able to articulate Looker's value propositions and what makes it different from other analytics tools in the market. You should also be able to explain how Looker works, and explain the standard components of successful service delivery.
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Ce cours 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 "Gérer les fonctions et la création de rapports avec CCAIP".
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Ce cours 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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Combinez l'expertise de Google dans les domaines de la recherche et de l'IA grâce à Gemini Enterprise. Cet outil puissant 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 Gemini Enterprise 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.
(Veuillez noter que Gemini Enterprise s'appelait auparavant Google Agentspace ; il se peut donc que ce cours contienne des références à l'ancien nom du produit.)
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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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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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Redéfinissez votre vision du service client grâce à ce cours sur Gemini Enterprise for Customer Experience (GECX) et ses puissantes fonctionnalités d'IA générative. Vous commencerez par retracer l'évolution des centres de contact et par comprendre comment l'IA générative les fait progresser. Vous découvrirez ensuite en détail les principaux composants de base de la solution GECX et comment chacun d'eux contribue à offrir des expériences client exceptionnelles. Le cours se termine par l'exploration de l'argumentaire commercial solide en faveur de GECX, ainsi que par la découverte de cas d'utilisation concrets et des différents personas qui tirent parti de cette solution innovante.
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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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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 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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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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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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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.
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.
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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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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'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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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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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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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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This course explores using enterprise design patterns to build scalable, reliable, and secure agents within CX Agent Studio. Additionally, it covers navigating the complete development lifecycle by deploying multi-layered application security and locking down cloud infrastructure perimeters. It details the core pillars of multi-turn session persistence and real-time audio supervision to facilitate safe, continuous conversational experiences.
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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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This course will help ML Engineers, Developers, and Data Scientists implement Large Language Models for Generative AI use cases with Vertex AI. The first two modules of this course contain links to videos and prerequisite course materials that will build your knowledge foundation in Generative AI. Please do not skip these modules. The advanced modules in this course assume you have completed these earlier modules.
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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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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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Suivez les cours Introduction to Generative AI, Introduction to Large Language Models et Introduction to Responsible AI, et obtenez un badge de compétence. Votre réussite au quiz final démontrera que vous comprenez les concepts de base relatifs à l'IA générative.
Un badge de compétence est un badge numérique délivré par Google Cloud. Il atteste de votre expertise sur les produits et services Google Cloud. Partagez votre badge de compétence en rendant votre profil public et en l'ajoutant à votre profil sur les réseaux sociaux.
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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 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 Conversational Design Fundamentals", the first course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to design customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will be introduced to CCAI and its three pillars (Dialogflow, Agent Assist, and Insights), and the concepts behind conversational experiences and how the study of them influences the design of your virtual agent. After taking this course you will be prepared to take your virtual agent design to the next level of intelligent conversation.
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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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Welcome to "Virtual Agent Development in Dialogflow ES for Citizen Devs", the second course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to develop customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will use Dialogflow ES to create virtual agents and test them using the Dialogflow ES simulator. This course also provides best practices on developing virtual agents. You will also be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations. Through a combination of presentations, demos, and hands-on labs, participants learn how to create virtual agents.
This is an intermediate course, intended for learners with the following types of roles:
Conversational designers: Designs the user experience of a virtual assistant. Translates the brand's business requirements into natural dialog flows.
Citizen developers: Creates new business applications fo…
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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.
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