Навучальныя курсы Conversational AI

Навучальныя курсы Conversational AI

Local instructor-led live Conversational AI training courses in Беларусь.

Conversational AI Subcategories

Conversational AI Course Outlines

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
This instructor-led, live training in Беларусь (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 hours
Overview
This instructor-led, live training in Беларусь (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 hours
Overview
This instructor-led, live training in Беларусь (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 hours
Overview
This instructor-led, live training in Беларусь (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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