engineering Courses

Training Course on Machine Learning Applications for Electrical Engineers equips engineers with the ability to design, implement, and manage intelligent systems that leverage deep learning, computer vision, and signal processing techniques.

Training Course on Nanotechnology in Electrical Engineering and Devices bridges fundamental science with practical applications, covering the design, synthesis, characterization, and integration of these materials into next-generation electronic, optoelectronic, energy, and sensor devices.

Training course on Biomedical Instrumentation and Bioelectronics offers an immersive exploration into the interdisciplinary field that underpins modern healthcare diagnostics, monitoring, and therapy.

Training Course on Advanced Robotics and AI Integration meticulously covers topics ranging from robot operating systems (ROS), robotic manipulation, mobile robotics, and human-robot interaction (HRI), to computer vision, reinforcement learning, natural language processing (NLP) for robots, and cognitive robotics.

Training Course on Flexible and Stretchable Electronics meticulously covers flexible substrates (e.g., polyimide, PEN), stretchable conductors (e.g., liquid metals, silver nanowires), thin-film transistors, sensors, and power solutions designed for mechanical compliance.

Training Course on Quantum Computing Fundamentals for Electrical Engineers delves into the core principles of quantum mechanics, translating complex theoretical concepts into practical applications relevant to electrical engineering.

Training Course on Wearable Electronics Design and Applications offers an in-depth exploration into the rapidly evolving field of smart, body-worn technologies that seamlessly integrate with our daily lives.

Training Course on Advanced Sensors and Transducers Design meticulously covers the design, modeling, fabrication, and characterization of these devices, emphasizing high sensitivity, selectivity, miniaturization, low power consumption, and robust performance in challenging environments.

Training Course on Electric Vehicle (EV) Powertrain Design emphasizes a holistic, systems-level design approach, integrating aspects of energy efficiency, performance optimization, thermal management, and functional safety.

Training Course on Battery Management Systems (BMS) for EVs meticulously covers the entire spectrum of BMS functionalities, from cell monitoring, State-of-Charge (SoC) and State-of-Health (SoH) estimation, and cell balancing to thermal management, fault detection, and crucial safety protocols (ISO 26262).

Training Course on Power Electronics for EV and HEV Applications meticulously covers DC-DC converters, AC-DC rectifiers, DC-AC inverters, and battery chargers, with a strong emphasis on high-efficiency design, power density optimization, thermal management, and robust control strategies.

Training Course on EV Charging Infrastructure and Standards covers essential aspects of site planning, grid integration, load management, and the economic models driving the deployment of public, private, and commercial charging solutions.