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Sharad Kala

成为会员时间：2020

白银联赛

9734 积分
Performance Measurement Earned Nov 6, 2025 EST
Customer Engagement Suite Implementation Bootcamps Earned Feb 22, 2025 EST
Configure and Maintain CCaaS as an Admin Earned Aug 4, 2024 EDT
Manage Functions and Reporting with CCaaS Earned Aug 4, 2024 EDT
对话设计基础知识 Earned Aug 4, 2024 EDT
Handle Consumer Interactions with CCaaS Earned Aug 3, 2024 EDT
[DEPRECATED] Advanced Performance Measurement Earned Aug 2, 2024 EDT
[DEPRECATED] Basic Performance Measurement Earned Aug 1, 2024 EDT
Transformer 模型和 BERT 模型 Earned May 11, 2023 EDT
注意力机制 Earned May 11, 2023 EDT
大型语言模型简介 Earned May 11, 2023 EDT
生成式 AI 简介 Earned May 11, 2023 EDT
使用 Google Cloud Operations 进行扩缩 Earned Dec 7, 2022 EST
使用 Google Cloud 进行基础设施和应用的现代化改造 Earned Dec 7, 2022 EST
利用 Google Cloud 实现数字化转型 Earned Dec 7, 2022 EST
使用 Google Cloud 探索数据转换 Earned Dec 7, 2022 EST

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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Details: This session is intended for customer-facing Googlers in Cloud GTM who are working with customers and partners on Customer Engagement Suite implementations. This training includes the following topics: Conversational Agents Implementation Agent Assist Implementation Insights Implementation Goal: Be able to assist customers and/or partners you are working with in implementing in these areas within the Customer Engagement Suite. Pre-Requisites: It is highly recommended that you’ve completed the following pre-reqs to ensure you have a solid foundation of knowledge to build upon in this training. Here are the pre-reqs suggested: Foundations for building Conversational Agents CCAI Architecture Introduction to Agent Assist and its GenAI Capabilities Agent Assist Voice and Integrations

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Configure and Maintain CCaaS as an Admin is a course that provides end users with essential learning about the core features, functionality, reporting, and configuration information most relevant to the role. This course is most appropriate for those who perform administrative functions to support the operation of the contact center as well as analyze, troubleshoot, and configure the platform to best meet the demands of customers. Although this program will review some monitoring and reporting aspects, those topics are explored in depth in the course titled "Managing Functions and Reporting with CCaSS." Explore other content in the Gemini Agent Ready (GEAR) program.

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Manage Functions and Reporting with CCaaS provides end-users with essential training about the core features, functionality, monitoring, reporting, and configuration information that is most relevant to the role. This course is most appropriate for those at the managerial level of the contact center who are tasked with monitoring the effectiveness, efficiency, and KPI attainment for all consumer interactions. While this program will review some aspects of settings and configuration options, the major focus is on reporting functionality in CCaaS.

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本课程将探讨对话设计的基本原则，助您打造引人入胜且有效的聊天机器人，模拟真人般的对话体验。

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This course teaches contact center agents about the core agent features and functionality in Contact Center as a Service (CCaaS). CCaaS is a unified contact center platform that accelerates an organization's ability to leverage and deploy contact centers 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 about advanced methods and tools to monitor the performance of your virtual agents in Dialogflow CX

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This course explores the fundamentals of the feedback loop process for Virtual Agent development and introduces the native capabilities within Dialogflow CX that support it

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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。

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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。

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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。

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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。

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各种规模的组织都在利用云的强大功能和灵活性来改变运营方式。然而，有效管理和扩缩云资源可能是一项复杂的任务。本课程探讨了云中现代运营、可靠性和弹性方面的基本概念，以及 Google Cloud 如何帮助支持这些工作。 作为 Cloud Digital Leader 学习路线的一部分，本课程旨在帮助个人在自己的岗位上成长，并为企业谋求未来发展。

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许多传统企业都在使用无法满足现代客户期望的旧式系统和应用。业务领导者往往需要在维护老旧的 IT 系统和投资新产品与服务之间做出选择。本课程探讨了这些挑战，并提供了利用云技术克服这些挑战的解决方案。 作为 Cloud Digital Leader 学习路线的一部分，本课程旨在帮助个人在工作中成长，并为企业打造美好未来。

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数字化转型是现代组织的必经之路，而扎实掌握云计算基础知识，是推动实质性创新的第一步。《利用 Google Cloud 实现数字化转型》课程将讲解核心技术与战略框架，助力组织实现运营现代化。本课程介绍关于云的基本概念、全球网络基础设施和责任共担模式，帮助领导者从容推进上云进程。 作为 Cloud Digital Leader 学习路线的一部分，本课程旨在帮助学员提升岗位能力，从而为企业打造美好未来。

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云技术是一项强大的资产，与数据相结合后，它将成为创新和提升客户体验的催化剂。《使用 Google Cloud 探索数据转换》课程探讨了组织如何利用云技术让数据更易于访问、更具实用价值和商业价值。 作为“Cloud Digital Leader 学习路线”的一部分，本课程旨在帮助个人提升职业素养，并为企业谋求未来发展。

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