Course Code: chatbotsautoml
Duration: 14 hours
Prerequisites:
  • 对 AI 概念的基本了解
  • 熟悉 Google 云平台（推荐但不是必需的）

观众

  • 非开发人员
  • Business 专业人士
  • 科技爱好者
Overview:

定制聊天机器人是人工智能驱动的对话代理，专为满足用户或企业的特定需求或要求而量身定制。这些聊天机器人可以经过训练，以理解和响应查询、执行任务以及在特定域或上下文中提供信息。Google AutoML （Auto Machine Learning） 是 Google Cloud Platform 提供的一套机器学习产品和服务，使用户能够构建自定义机器学习模型，而无需在机器学习或编码方面拥有广泛的专业知识。AutoML 提供用户友好的界面和强大的功能，使其易于访问并吸引具有不同技术专长水平的用户。

这种由讲师指导的现场培训（在线或现场）面向具有不同专业水平的参与者，他们希望利用 Google 的 AutoML 平台为各种应用程序构建定制的聊天机器人。

在培训结束时，参与者将能够：

  • 了解聊天机器人开发的基础知识。
  • 浏览 Google 云平台并访问 AutoML。
  • 为训练聊天机器人模型准备数据。
  • 使用 AutoML 训练和评估自定义聊天机器人模型。
  • 将聊天机器人部署并集成到各种平台和渠道中。
  • 随时间推移监控和优化聊天机器人性能。

课程形式

  • 互动讲座和讨论。
  • 大量的练习和练习。
  • 在现场实验室环境中动手实施。

课程自定义选项

  • 如需申请本课程的定制培训，请联系我们进行安排。
Course Outline:

聊天机器人开发简介

  • 聊天机器人及其应用概述
  • 用于聊天机器人开发的 Google AutoML 简介
  • 了解聊天机器人的组件

Google Cloud Platform 和 AutoML 入门

  • 设置 Google Cloud Platform 帐户
  • 导航 Google 云控制台
  • Accessing Google AutoML 并了解其特征

聊天机器人培训的数据准备

  • 收集和预处理训练数据
  • 为聊天机器人意图和实体标记数据
  • 探索 Google Cloud Platform 中的数据可视化工具

使用 AutoML 训练自定义聊天机器人模型

  • 为聊天机器人开发创建一个新的 AutoML 项目
  • 将训练数据上传和导入 AutoML
  • 配置训练设置和参数

评估和迭代聊天机器人模型

  • 解释聊天机器人性能的评估指标
  • 根据评估结果迭代模型改进
  • 微调聊天机器人模型以获得更好的准确性和性能

聊天机器人的部署和集成

  • 将聊天机器人部署到不同的平台和渠道
  • 将聊天机器人与网站、消息传递应用程序和其他界面集成
  • 在真实场景中测试聊天机器人交互和用户体验

监控和优化聊天机器人性能

  • 为已部署的聊天机器人设置监控和日志记录
  • 分析使用数据和用户反馈以提高聊天机器人性能
  • 实施持续优化策略，实现长期成功

摘要和后续步骤

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