加入 登录

在 Google Cloud 控制台中运用您的技能

Vinod Konkal

成为会员时间：2024

白银联赛

22880 积分
Create Agents with Generative Playbooks Earned Feb 10, 2025 EST
Building a Virtual Agent with Dialogflow CX Earned Nov 21, 2024 EST
Agent Assist Voice and Integrations Earned Nov 20, 2024 EST
Agent Assist and its Gen AI Capabilities Earned Nov 19, 2024 EST
Advanced Conversation Design Earned Nov 18, 2024 EST
Conversational AI Voice and Chat Integrations Earned Nov 4, 2024 EST
Advanced Webhook Concepts Earned Nov 4, 2024 EST
Building Complex End to End Self-Service Experiences in Dialogflow CX Earned Oct 31, 2024 EDT
Transformer 模型和 BERT 模型 Earned Oct 28, 2024 EDT
编码器-解码器架构 Earned Oct 28, 2024 EDT
注意力机制 Earned Oct 26, 2024 EDT
图像生成简介 Earned Oct 26, 2024 EDT
适用于生成式 AI 的机器学习运维 (MLOps) Earned Oct 25, 2024 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则 Earned Oct 25, 2024 EDT
在 Vertex AI 中设计提示 Earned Oct 21, 2024 EDT
Incorporating Generative Features into Complex DFCX Agents Earned Oct 20, 2024 EDT
Webhook fundamentals Earned Oct 17, 2024 EDT
Conversational Insights Earned Oct 17, 2024 EDT
负责任的 AI 简介 Earned Jul 15, 2024 EDT
大型语言模型简介 Earned Jul 15, 2024 EDT
生成式 AI 简介 Earned Jul 15, 2024 EDT

This course will teach you how to build conversational experiences for Conversational Agents using Generative Playbooks. You'll start with an introduction to playbooks and learn how to set up your first one. You'll also learn about the importance of testing, as well as key production considerations like quota limits and integration. The course concludes with a case study that shows how to use playbooks for generative steering.

了解详情

Learn how to build a basic virtual agent for your contact center using Dialogflow CX.

了解详情

In this course you will learn how Contact Center AI 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 CCAI ecosystem.

了解详情

Unlock the power of generative AI to create intelligent, automated agents. After completing this course, you'll be equipped to develop a data store agent that can instantly answer complex questions by automatically extracting and synthesizing information from your websites, documents, or structured data. Say goodbye to static FAQs—your new agent will provide dynamic, accurate answers and even surface the original source URLs, all with a simple and rapid setup.

了解详情

In this course, you will learn the advanced conversational design principles for both the Voice and Caht channels to craft engaging and effective end-to-end experiences that emulate human-like interactions.

了解详情

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.

了解详情

This course explores advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Virtual Agent self-service experiences.

了解详情

This course will equip you with the tools to develop complex conversational experiences in Dialogflow CX capable of identifying the user intent and routing it to the right self service flow.

了解详情

本课程向您介绍 Transformer 架构和 Bidirectional Encoder Representations from Transformers (BERT) 模型。您将了解 Transformer 架构的主要组成部分，例如自注意力机制，以及该架构如何用于构建 BERT 模型。您还将了解可以使用 BERT 的不同任务，例如文本分类、问答和自然语言推理。完成本课程估计需要大约 45 分钟。

了解详情

本课程简要介绍了编码器-解码器架构，这是一种功能强大且常见的机器学习架构，适用于机器翻译、文本摘要和问答等 sequence-to-sequence 任务。您将了解编码器-解码器架构的主要组成部分，以及如何训练和部署这些模型。在相应的实验演示中，您将在 TensorFlow 中从头编写简单的编码器-解码器架构实现代码，以用于诗歌生成。

了解详情

本课程将向您介绍注意力机制，这是一种强大的技术，可令神经网络专注于输入序列的特定部分。您将了解注意力的工作原理，以及如何使用它来提高各种机器学习任务的性能，包括机器翻译、文本摘要和问题解答。

了解详情

本课程向您介绍扩散模型。这类机器学习模型最近在图像生成领域展现出了巨大潜力。扩散模型的灵感来源于物理学，特别是热力学。过去几年内，扩散模型成为热门研究主题并在整个行业开始流行。Google Cloud 上许多先进的图像生成模型和工具都是以扩散模型为基础构建的。本课程向您介绍扩散模型背后的理论，以及如何在 Vertex AI 上训练和部署此类模型。

了解详情

本课程致力于为您提供所需的知识和工具，让您能够了解 MLOps 团队在部署和管理生成式 AI 模型以及探索 Vertex AI 如何帮助 AI 团队简化 MLOps 流程时面临的独特挑战，并帮助您在生成式 AI 项目中取得成功。

了解详情

随着企业对人工智能和机器学习的应用越来越广泛，以负责任的方式构建这些技术也变得更加重要。但对很多企业而言，真正践行 Responsible AI 并非易事。如果您有意了解如何在组织内践行 Responsible AI，本课程正适合您。 本课程将介绍 Google Cloud 目前如何践行 Responsible AI，以及从中总结的最佳实践和经验教训，便于您以此为框架构建自己的 Responsible AI 方法。

了解详情

完成 在 Vertex AI 中设计提示入门技能徽章课程，展示以下方面的技能： Vertex AI 中的提示工程、图片分析和多模态生成式技术。探索如何编写有效的提示，指导生成式 AI 输出， 以及将 Gemini 模型应用于真实的营销场景。 技能徽章 是由 Google Cloud 颁发的专属数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度；您需要在 交互式实操环境中参加考核，证明自己运用所学知识的能力后才能获得。完成此技能 徽章课程和作为最终评估的实验室挑战赛，获得技能徽章， 并在您的社交圈中秀一秀自己的水平。

了解详情

In this course you will learn how to integrate multiple advanced generative capabilities within a Dialogflow CX agent.

了解详情

In this course, you will learn the important role that different types of webhooks play in Dialogflow CX development, and how to effectively integrate them into your routine configuration of a Virtual Agent.

了解详情

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.

了解详情

这是一节入门级微课程，旨在解释什么是负责任的 AI、它的重要性，以及 Google 如何在自己的产品中实现负责任的 AI。此外，本课程还介绍了 Google 的 7 个 AI 开发原则。

了解详情

这是一节入门级微学习课程，探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能，还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。

了解详情

这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。

了解详情