대한민국에서 현지 강사가 진행하는 Conversational AI 교육 과정.
회원 평가
설명 할 예제가 마음에 든다.
AUO友达光电（苏州）有限公司
Course: OptaPlanner in Practice
Machine Translated
정보
Amr Alaa - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
Machine Translated
새로운 언어를 배우십시오.
FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
Machine Translated
제목 프레젠테이션 지식 타
Aly Saleh - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
Machine Translated
도움이되는 좋은 청취자 ... 대화식
Ahmed El Kholy - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
Machine Translated
Ahmed는 매우 대화식이었고 어떤 종류의 질문에 답변을주지 않습니다.
Mohamed Ghowaiba - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
Machine Translated
코스는 지금 주요 초점이라는 매우 흥미 롭습니다.
mohamed taher - FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
Machine Translated
우리의 시야를 넓히기 위한 토론
FAB banak Egypt
Course: Introduction to Data Science and AI (using Python)
Machine Translated
Conversational AI서브 카테고리
Conversational AI코스 개요
코스 이름
Duration
Overview
코스 이름
Duration
Overview
14 시간
This instructor-led, live training in 대한민국 (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.
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 시간
This instructor-led, live training in 대한민국 (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.
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 시간
This instructor-led, live training in 대한민국 (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.
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 시간
This instructor-led, live training in 대한민국 (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.
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.
Last Updated:
향후Conversational AI 코스
23-12-2021 10:00
14 hours
23-12-2021 10:00
14 hours
06-01-2022 10:00
14 hours
12-01-2022 10:00
14 hours
24-01-2022 10:00
14 hours
Other countries
Consulting
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