Artificial Intelligence For Aspiring Engineers
This is a credit aligned course as per the NCrF credit framework and the universities can provide credit for the course
About Artificial Intelligence:
Artificial Intelligence (AI) is transforming the way we understand and interact with the world. It mimics human intelligence to solve complex problems, make predictions, and automate processes. From analysing massive datasets to recognizing patterns and optimizing systems, AI is at the forefront of scientific and technological advancement. In the context of physics, AI enables smarter simulations, more accurate measurements, and deeper insights into the fundamental laws of nature.
Objective:
Develop foundational skills to apply Artificial Intelligence across Civil, Mechanical, Electrical, Electronics, Computer Science, IT and other Engineering disciplines from day one.
What You’ll Learn:
Think computationally and write Python programs confidently.
Build end-to-end machine learning pipelines using real-world engineering datasets.
Apply AI to solve domain-specific problems in your specific engineering branch.
Certificate Provider : SWAYAM Plus and IITM Pravartak Technologies Foundation
Duration of the course : 35 Hours
Course Start date : Mid-May 2026
Mode of study : Fully virtual
Course Fees : 500 INR + GST
Certification : Certificate of Participation will be provided.
Course syllabus
Dr. V. Sankaran
IIT Madras Pravartak Technologies
Dr. V. Sankaran received his Ph.D. Degree from Anna University in 1986 in the areas of Computer Networks. He worked as Professor from 1986 to 1995 in the Department of Computer Science and Engineering in a few colleges like Sri Venkateswara, SRM and Sathyabama, Chennai. Also, he worked as Dean at VIT for an year in the year 2014. He is a guest faculty for IIIT Design and Development, Chennai.
He moved to IT industry in 1995 and worked as Project Manager, Delivery Manager, Program Manager and Director in companies like L-Cube Innovative Solutions, HCL Technologies, Packet Island and BroadSoft.
His IT industry experience is over 30+ years and his strength are in the areas of Computer Networks, Security, UI Technology, Linux Kernel Programming, Device Drivers and Data Engineering.
Highlights of Supporting Manual of Electronic Trainer Kit:
Manual is framed as self-practice by students with necessary wiring diagrams.
Manual starts with a Quick Overview of the Trainer System, describing the various functional blocks, and their locations.
Sufficient background Theory is given for better understanding.
Measurement tables are given with theoretical values to verify practical results.
Plots are given for quick analysis as well as the conclusion.
Wherever required, experiments are provided with numerical problems to understand the theory well.
Specifications, Characteristics, and functions of each component are discussed in detail.
Self-Assessment questions are given to gain confidence.
Appendix is given to recollect basics and apply in relevant experiments.
The range of topics covered, start from electricity basics, electrical circuits, test and measuring instruments, electronic components, semiconductor devices, transistor circuits, Analog Circuits, digital electronics, Solar photovoltaic as a renewable energy source, Input-Output devices, sensors and actuators till the embedded controller using Arduino UNO. Last two topics are devoted to the application-based exercises as relevant for use in our day-to-day life.
List of Dos and Don’ts and Safety Practice are given.
Needs only minimum guidance and provides great confidence.
Manual is prepared with the motive of imparting the required Knowledge and Skill competencies so as to nurture the students to build and develop their own electronic circuitry and systems in the future.
Course covers :
Electronics and Embedded controller experiments with Universal Trainer kit.
Advanced Embedded and Remote controlled IoT projects.
Proto type project design with schematic and PCB Design.
Electronics and Embedded Controller Experiments with Universal Trainer Kit:
Vehicle Speed Monitor :
Real Time stamped Data acquisition system with OLED :
Soil Moisture sensed Automatic Water planting with Remote monitoring :
Mobile App Control and Monitoring System :
RFID Detected Office Attendance Entry with Auto Room Power OFF @ Zero entry :
Assembling and testing of Automatic Car Parking with Anti-collision Alarm and day/night Headlight control :
Registration:
Link will be posted soon