Advanced Certificate in Building Conversational AI Solutions
-- ViewingNowThe Advanced Certificate in Building Conversational AI Solutions is a comprehensive course designed to empower learners with the essential skills required to create intelligent conversational AI interfaces. This course is critical in today's industry, where chatbots and voice assistants have become increasingly popular and in-demand, transforming how businesses interact with their customers.
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⢠Advanced Natural Language Processing (NLP): This unit will cover advanced techniques in NLP such as sentiment analysis, entity recognition, and topic modeling.
⢠Conversational AI Design Patterns: Students will learn about various design patterns for building conversational AI solutions, including menu-based and goal-oriented designs.
⢠Building Conversational Agents with Dialogflow: This unit will cover the practical implementation of conversational AI using Dialogflow, a popular conversational AI platform by Google.
⢠Machine Learning for Conversational AI: This unit will cover the use of machine learning techniques such as reinforcement learning and deep learning in conversational AI.
⢠Building Conversational Bots for Social Media: Students will learn how to build conversational bots for popular social media platforms such as Facebook and Twitter.
⢠Building Chatbots for Customer Support: This unit will cover best practices for building chatbots for customer support, including integrating with existing customer support systems and managing user expectations.
⢠Multi-modal Conversational AI: This unit will cover the design and implementation of conversational AI systems that can handle multiple modalities, such as voice and text.
⢠Testing and Evaluation of Conversational AI: Students will learn about the unique challenges of testing and evaluating conversational AI systems and techniques for measuring their effectiveness.
⢠Ethics and Privacy in Conversational AI: This unit will cover the ethical considerations and privacy concerns associated with conversational AI and best practices for ensuring user trust and compliance with regulations.
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