Mettez en pratique vos compétences dans la console Google Cloud
rajeshwar chauhan
Date d'abonnement : 2020
Ligue d'Or
37925 points
Enterprise Search on Generative AI App Builder
Earned avr. 18, 2025 EDT
Building Complex Self-Service Experiences in Conversational Agents
Earned avr. 11, 2025 EDT
Generative Playbooks
Earned mars 20, 2025 EDT
Conversation Design Fundamentals
Earned fév. 26, 2025 EST
Deploy Google Agentspace
Earned fév. 24, 2025 EST
Advanced Performance Measurement
Earned fév. 17, 2025 EST
Conversational Insights
Earned fév. 17, 2025 EST
Accelerate Knowledge Exchange with Google Agentspace
Earned fév. 17, 2025 EST
Advanced Webhook Concepts
Earned fév. 3, 2025 EST
Build generative virtual agents with API integrations
Earned jan. 15, 2025 EST
Build deterministic Virtual Agent enhanced with data stores
Earned jan. 15, 2025 EST
Integrate Agent Assist with Telephony and Chatbot Systems
Earned jan. 10, 2025 EST
Introduction to Agent Assist and its GenAI Capabilities
Earned jan. 7, 2025 EST
Virtual FAQ with data store agents
Earned jan. 7, 2025 EST
Agent Summarization (Custom)
Earned déc. 31, 2024 EST
Building Complex Self-Service Experiences in Conversational Agents
Earned déc. 30, 2024 EST
Conversational AI Voice and Chat Integrations
Earned déc. 26, 2024 EST
DFCX Virtual Agent Delivery Framework
Earned nov. 29, 2024 EST
Customer Engagement Suite with Google AI Architecture
Earned nov. 28, 2024 EST
Intro to Conversational AI and Conversational AI Engagement Framework
Earned nov. 22, 2024 EST
Handle Consumer Interactions with CCAIP
Earned oct. 6, 2024 EDT
Conversational AI on Vertex AI and Dialogflow CX
Earned jan. 26, 2024 EST
Implementing Generative AI with Vertex AI
Earned jan. 15, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned jan. 11, 2024 EST
Generative AI Fundamentals
Earned nov. 7, 2023 EST
Introduction to Responsible AI
Earned nov. 7, 2023 EST
Introduction to Large Language Models
Earned juin 7, 2023 EDT
Introduction to Generative AI
Earned juin 3, 2023 EDT
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 Generative AI App Builder to integrate enterprise-grade generative AI search.
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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.
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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 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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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 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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Unite Google’s expertise in search and AI with Google Agentspace, an enterprise tool designed to help employees find specific information from document storage, email, chats, ticketing systems, and other data sources, all from a single search bar. The Google Agentspace assistant can also help brainstorm, research, outline documents, and take actions like inviting coworkers to a calendar event to accelerate knowledge work and collaboration of all kinds.
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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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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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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 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'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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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.
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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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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This course teaches contact center agents about the core agent features and functionality in Contact Center AI Platform (CCAIP). CCAIP is a unified contact center platform that accelerates an organization's ability to leverage and deploy CCAI without relying on multiple technology providers. This course is most appropriate for those who handle consumer interactions via chat and call.
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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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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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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses. 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 is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
En savoir plus
This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
Enterprise Search on Generative AI App Builder
Earned avr. 18, 2025 EDT
Building Complex Self-Service Experiences in Conversational Agents
Earned avr. 11, 2025 EDT
Generative Playbooks
Earned mars 20, 2025 EDT
Conversation Design Fundamentals
Earned fév. 26, 2025 EST
Deploy Google Agentspace
Earned fév. 24, 2025 EST
Advanced Performance Measurement
Earned fév. 17, 2025 EST
Conversational Insights
Earned fév. 17, 2025 EST
Accelerate Knowledge Exchange with Google Agentspace
Earned fév. 17, 2025 EST
Advanced Webhook Concepts
Earned fév. 3, 2025 EST
Build generative virtual agents with API integrations
Earned jan. 15, 2025 EST
Build deterministic Virtual Agent enhanced with data stores
Earned jan. 15, 2025 EST
Integrate Agent Assist with Telephony and Chatbot Systems
Earned jan. 10, 2025 EST
Introduction to Agent Assist and its GenAI Capabilities
Earned jan. 7, 2025 EST
Virtual FAQ with data store agents
Earned jan. 7, 2025 EST
Agent Summarization (Custom)
Earned déc. 31, 2024 EST
Building Complex Self-Service Experiences in Conversational Agents
Earned déc. 30, 2024 EST
Conversational AI Voice and Chat Integrations
Earned déc. 26, 2024 EST
DFCX Virtual Agent Delivery Framework
Earned nov. 29, 2024 EST
Customer Engagement Suite with Google AI Architecture
Earned nov. 28, 2024 EST
Intro to Conversational AI and Conversational AI Engagement Framework
Earned nov. 22, 2024 EST
Handle Consumer Interactions with CCAIP
Earned oct. 6, 2024 EDT
Conversational AI on Vertex AI and Dialogflow CX
Earned jan. 26, 2024 EST
Implementing Generative AI with Vertex AI
Earned jan. 15, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud
Earned jan. 11, 2024 EST
Generative AI Fundamentals
Earned nov. 7, 2023 EST
Introduction to Responsible AI
Earned nov. 7, 2023 EST
Introduction to Large Language Models
Earned juin 7, 2023 EDT
Introduction to Generative AI
Earned juin 3, 2023 EDT