This STTP is designed to provide a comprehensive introduction to Artificial Intelligence (AI) and Machine Learning (ML) with a strong focus on applications in Electrical and Electronics Engineering (EEE). The programme covers foundational concepts, data handling techniques, supervised and unsupervised learning methods, and advanced deep learning architectures such as CNN and LSTM. Participants will engage in hands-on sessions using Python, MATLAB, real-time datasets, and practical case studies from power systems, renewable energy, smart grids, and electrical equipment monitoring. This STTP aims to equip faculty members with the technical skills, tools, and research-oriented mindset needed to integrate AI/ML techniques into teaching, research, and EEE-based problem solving.

Course Content:

*Foundations of AI & ML for EEE

*Data Handling & Pre-processing

*Supervised Learning for Electrical Applications

*Neural Networks & Deep Learning

*Advanced ML for Smart Systems

*Research & Case Studies

*Hand-on Session on Practical Application of Machine Learning in Electrical and Electronics Engineering

Last date for registration: 1st Jan 2026

Link For registration