Aptitude & Mathematics Fundamentals : Covering the essential mathematical concepts and reasoning skills needed for advanced AI studies.Programming Refresher : A quick course to brush up on programming skills, focusing on Python and its applications in data science and AI.Introduction to Prompt Programming : An introduction to the emerging field of prompt programming, focusing on effective communication with AI models.Data Handling : Learning how to manage, process, and analyse data effectively using various tools and libraries.Five important prerequisites for Data Science : An exploration of the essential skills and knowledge areas critical for success in data science.Ten Classical Ideas that changed the world : A historical overview of key theories and discoveries that have shaped the field of data scienceNeural Networks + Advances (LLMs) : In-depth study of neural networks, including recent advancements in large language models.Computer Vision (CV) : Techniques and applications of computer vision, training models to interpret and understand visual information.Natural Language Processing (NLP) : Methods for enabling computers to understand and process human language, creating applications like translators and chatbots.Mechanics : Covering the essential mathematical concepts and reasoning skills needed for advanced AI studies.Internet of Things : Integrating AI with IoT to develop smart devices and systems.tinyML : Learning about deploying machine learning models on low-power microcontrollers.Robotics : Application of AI techniques in designing and controlling robots.General applications of AI : Broad overview of AI applications across various industries.

•Member of Engineering division for Center for Artificial Intelligence (CAI) at KKU

Teaching in School of Mechanical Engineering of SASTRA University