Conversational AI培訓

Conversational AI培訓

在線或現場,講師指導的實時對話式 AI 培訓課程通過互動式動手實踐演示如何使用對話式 AI 技術使計算機能夠以自然的方式與人類互動。

對話式 AI 培訓以「在線實時培訓」或「現場實時培訓」的形式提供。在線實時培訓(又名“遠程實時培訓”)通過互動式遠端桌面進行。現場現場培訓可以在台灣的客戶場所或台灣的NobleProg企業培訓中心進行。

NobleProg -- 您當地的培訓機構

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Conversational AI子類別

Conversational AI課程大綱

課程名稱
課程時長
概覽
課程名稱
課程時長
概覽
14小時
This instructor-led, live training in 台灣 (online or onsite) is aimed at researchers and developers who wish to install, configure, customize, and manage the ParlAI platform to develop their AI models. By the end of this training, participants will be able to share, train, and evaluate AI models to build and develop conversational solutions across existing chat services.
14小時
This instructor-led, live training in 台灣 (online or onsite) is aimed at developers who wish to install, set up, and manage chatbot-building platforms and code-based frameworks to create and deploy chatbot services. By the end of this training, participants will be able to design, build, evaluate, and test chatbot services to provide automated chat or voice support interfaces for their users.
14小時
This instructor-led, live training in 台灣 (online or onsite) is aimed at web developers who wish to build conversational AI experiences. By the end of this training, participants will be able to:
  • Build guided bot conversations with Microsoft Bot Framework.
  • Enhance bots with dialogs and FormFlow.
  • Integrate Microsoft's NLP framework into a bot.
  • Deploy a bot to one or multiple channels.
14小時
This instructor-led, live training in 台灣 (online or onsite) is aimed at web developers who wish to use Microsoft Bot Framework Composer to design, build, and test conversational AI applications. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start developing bot projects.
  • Create a bot and integrate additional functionalities and elements with Composer.
  • Enhance bot features with Composer API and customize interactions using CLI tools.
  • Test, debug, and validate bots, and then deploy them to Azure.

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