Leverage data with Customer Experience Insights
Earned avr. 22, 2024 EDT
Customer Experience with Google AI Architecture
Earned avr. 21, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned avr. 20, 2024 EDT
Gemini pour les architectes cloud
Earned avr. 5, 2024 EDT
Gemini pour les architectes cloud
Earned mars 29, 2024 EDT
Gemini pour les développeurs d'applications
Earned mars 28, 2024 EDT
Improving developer velocity with Gemini Code Assist
Earned mars 28, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals - Français
Earned mars 28, 2024 EDT
Contact Center AI: Conversational Design Fundamentals
Earned mars 18, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned mars 15, 2024 EDT
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned mars 14, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned mars 10, 2024 EDT
Text Prompt Engineering Techniques
Earned mars 10, 2024 EDT
Search with AI Applications
Earned mars 10, 2024 EDT
Introduction à Vertex AI Studio
Earned mars 9, 2024 EST
IA responsable : appliquer les principes concernant l'IA avec Google Cloud
Earned mars 9, 2024 EST
Generative AI Fundamentals
Earned mars 9, 2024 EST
Generative AI Explorer : Vertex AI
Earned mars 9, 2024 EST
Introduction à l'IA responsable
Earned mars 9, 2024 EST
Présentation des grands modèles de langage
Earned mars 9, 2024 EST
Présentation de l'IA générative
Earned mars 7, 2024 EST
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.
En savoir plus
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'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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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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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 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 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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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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Dans ce cours, vous découvrirez comment Gemini, un collaborateur de Google Cloud optimisé par l'IA générative, aide les administrateurs à provisionner l'infrastructure. Vous apprendrez à demander à Gemini d'expliquer l'infrastructure, de déployer les clusters GKE et de mettre à jour l'infrastructure existante. À l'aide d'un atelier pratique, vous verrez en quoi Gemini améliore le workflow de déploiement GKE.
Duet AI a été renommé "Gemini", notre modèle nouvelle génération.
En savoir plus
Dans ce cours, vous découvrirez comment Gemini, un collaborateur de Google Cloud optimisé par l'IA générative, aide les administrateurs à provisionner l'infrastructure. Vous apprendrez à demander à Gemini d'expliquer l'infrastructure, de déployer les clusters GKE et de mettre à jour l'infrastructure existante. À l'aide d'un atelier pratique, vous verrez en quoi Gemini améliore le workflow de déploiement GKE.
Duet AI a été renommé "Gemini", notre modèle nouvelle génération.
En savoir plus
Dans ce cours, vous découvrirez comment Gemini, un collaborateur de Google Cloud optimisé par l'IA générative, aide les développeurs à créer des applications. Vous apprendrez à demander à Gemini d'expliquer du code, de recommander des services Google Cloud et de générer du code pour vos applications. À l'aide d'un atelier pratique, vous verrez en quoi Gemini améliore le workflow de développement d'applications.
Duet AI a été renommé Gemini, notre modèle nouvelle génération.
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Learn how Gemini can revolutionize your ability to develop applications! This course helps developers go beyond the basics and learn how to integrate Gemini into their workflows.
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Ce cours présente les produits et services Google Cloud pour le big data et le machine learning compatibles avec le cycle de vie "des données à l'IA". Il explore les processus, défis et avantages liés à la création d'un pipeline de big data et de modèles de machine learning avec Vertex AI sur Google Cloud.
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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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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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This course explores the different products and capabilities of Gemini Enterprise for Customer Experience 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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(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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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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(Previously named "Developing apps with Vertex AI Agent Builder: Search". Please note there maybe instances in this course where previous product names and titles are used)
Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities.
This course teaches you to use AI Applications to integrate enterprise-grade generative AI search.
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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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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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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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This content is deprecated. Please see the latest version of the course, here.
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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.
En savoir plus
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.
Conversational AI Voice and Chat Integrations
Earned juin 10, 2024 EDT
Generative Playbooks
Earned juin 10, 2024 EDT
Extend CX Agents with Vertex AI Search data stores
Earned avr. 30, 2024 EDT
Conversational Agents Quality Assurance and Deployment Lifecycle
Earned avr. 30, 2024 EDT
Performance Measurement
Earned avr. 29, 2024 EDT
Conversation Design Fundamentals
Earned avr. 25, 2024 EDT
Webhook fundamentals
Earned avr. 25, 2024 EDT
Stateful Flows
Earned avr. 25, 2024 EDT
DFCX Virtual Agent Delivery Framework
Earned avr. 24, 2024 EDT
Leverage data with Customer Experience Insights
Earned avr. 22, 2024 EDT
Customer Experience with Google AI Architecture
Earned avr. 21, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework
Earned avr. 20, 2024 EDT
Gemini pour les architectes cloud
Earned avr. 5, 2024 EDT
Gemini pour les architectes cloud
Earned mars 29, 2024 EDT
Gemini pour les développeurs d'applications
Earned mars 28, 2024 EDT
Improving developer velocity with Gemini Code Assist
Earned mars 28, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals - Français
Earned mars 28, 2024 EDT
Contact Center AI: Conversational Design Fundamentals
Earned mars 18, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned mars 15, 2024 EDT
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned mars 14, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned mars 10, 2024 EDT
Text Prompt Engineering Techniques
Earned mars 10, 2024 EDT
Search with AI Applications
Earned mars 10, 2024 EDT
Introduction à Vertex AI Studio
Earned mars 9, 2024 EST
IA responsable : appliquer les principes concernant l'IA avec Google Cloud
Earned mars 9, 2024 EST
Generative AI Fundamentals
Earned mars 9, 2024 EST
Generative AI Explorer : Vertex AI
Earned mars 9, 2024 EST
Introduction à l'IA responsable
Earned mars 9, 2024 EST
Présentation des grands modèles de langage
Earned mars 9, 2024 EST
Présentation de l'IA générative
Earned mars 7, 2024 EST