Introduction to Artificial Intelligence (AI)

Course Description:

This six (6) week-long course provides a fundamental understanding for the field of Artificial Intelligence (AI). It explores the major topics within the field of AI giving students a clear indication of the expansive nature and diverse applicability of AI. Intended for learners with diverse backgrounds, it combines technical knowledge and creativity in a practical context. Key topics covered include machine learning, reinforcement learning, deep neural networks, natural language processing, and hands-on sessions. With 20 hours of theoretical knowledge and practical skills, assessments involve discussions, group exercises, and a project to demonstrate the use of AI. This course enhances user experiences across interactive platforms. No prior experience is required, making it suitable for various fields, including technology, education, healthcare, e-commerce, entertainment, and finance. The course equips individuals with an essential foundation in the ever evolving field of Artificial Intelligence.

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Course Lecturer Biographies:

Dr. Craig Ramlal completed his BSc(e) in Electrical and Computer Engineering, MASc in Electrical and Computer Engineering (Control Systems Major) and his PhD in Electrical and Computer Engineering split site with the University of the West Indies, Trinidad and Tobago and the King Fahd University of Petroleum and Minerals, Saudi Arabia. A few of his impactful work includes working as a regional coordinator for developing open data strategies for Caribbean countries with the support of the International Development Research Centre (IDRC), NIHERST, and NASA. He served as the principal investigator for developing ventilators, robotic systems and decontamination units with officials from the Ministry of Health and researchers from the University of Florida to mitigate the risk of COVID-19 spread and with researchers from Tallinn University, developed Industrial Diagnostic tools with deep learning for Estonia's national grid. He currently lectures undergraduate and postgraduate control system courses and serves as the principal investigator of the Intelligent Systems Lab. His research focuses on Intelligent Control Strategies, Artificial Intelligence and Game Theory.

Mr Amir Mohammed received his BSc and MASc in Electrical and Computer Engineering with a major in Control Systems from the University of the West Indies (UWI), St Augustine. He is currently a PhD Candidate in Electrical and Computer Engineering at the UWI. His interests include Cyber Physical Systems, Resilient Control and Fault Tolerant Control.

Mr Lincoln Marine received his BSc in Electrical and Computer Engineering with a major in Control Systems and Communication Systems from the University of the West Indies (UWI), St Augustine. His interests include Fuzzy Logic Control and Machine Learning.