Undergraduate Certificate in Conversational AI for Speech Recognition
-- ViewingNowThe Undergraduate Certificate in Conversational AI for Speech Recognition is a compact, career-oriented course designed to equip learners with essential skills in artificial intelligence (AI) and speech recognition technology. This certificate program is critical in today's digital age, where AI-powered conversational agents are revolutionizing various industries, from customer service to healthcare and education.
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⢠Introduction to Conversational AI: Understanding the basics of conversational AI, its applications, and benefits.
⢠Speech Recognition Theory: Diving into the foundational concepts of speech recognition, including phonetics, acoustics, and linguistics.
⢠Natural Language Processing (NLP): Learning about NLP techniques, such as tokenization, part-of-speech tagging, and named entity recognition.
⢠Speech Recognition Engines and Tools: Exploring popular speech recognition engines and tools, such as Google Speech-to-Text, IBM Watson, and Kaldi.
⢠Designing Conversational AI Systems: Understanding the design principles and best practices for creating conversational AI systems.
⢠Machine Learning for Speech Recognition: Delving into machine learning techniques, such as hidden Markov models and deep neural networks, for speech recognition.
⢠Dialogue Management and Contextual Understanding: Learning about dialogue management strategies and contextual understanding techniques for conversational AI.
⢠Evaluating and Improving Speech Recognition Systems: Understanding performance metrics and techniques for improving speech recognition systems.
⢠Ethical and Legal Considerations: Exploring ethical and legal considerations, such as privacy and data security, in the design and implementation of conversational AI systems.
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