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Empowering Conversational AI Designers and Developers with Rulai's Certification Courses

Rulai Institute: Elevating Virtual Assistant Expertise

The Rulai Institute, the research and education arm of Rulai Inc., is dedicated to providing essential research, insights, and educational programs to empower companies in deploying advanced virtual assistants effectively. With a team that has an extensive background in publishing research papers and securing patents in AI, the Rulai Institute offers courses and workshops to facilitate the implementation of conversational computing best practices.

Conversational AI Designer Certification Course

The designer certification course by Rulai consists of 40 hours of recorded instruction that equips digital experience designers with the knowledge and skills needed to design, develop, evaluate, and maintain virtual agents using the Rulai platform. Participants will delve into conversational design principles, requirements analysis, validation techniques, and Rulai's development and analytics tools. The course ensures hands-on practice and personalized guidance to enable learners to apply their newfound expertise effectively.

Conversational AI Developer Certification Course

The developer certification course spans 30 hours of recorded instruction and focuses on training developers in utilizing the programming aspects of the Rulai platform crucial for supporting conversational designers. Attendees will gain insights into Rulai system architecture, backend system integration, omni-channel deployment, Rulai's APIs, and analytics tools. The course blends theoretical instruction with practical exercises to ensure participants can implement their skills successfully.

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Enhancing Conversational Dialogs with Rulai: Advanced Solutions and Support

Key Features of Rulai

Rulai's support for highly complex conversational dialogs offers a range of key features, including natural language understanding, context awareness, common conversational intents’ detection, multi-intents understanding, and more. Additionally, it provides support for synonyms and misspellings’ understanding, change of mind’s detection, and zero-shot or few-shot learning for NLU with little to no training data. Users can benefit from custom deep learning NLU models, question answering from databases, unstructured and semi-structured documents, and ingestion of external knowledge bases for NLU enhancement.

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Unlocking the Power of Conversational AI with Rulai

Expert’s Guide to Conversational AI

The expert's guide by Rulai details five levels of automation to objectively classify virtual assistants based on their ability and intelligence. It focuses on the underlying technology rather than the product itself, providing a benchmark for virtual assistant performance.

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