IIT Ropar TIF (AWaDH)
Deep Tech R&D Driven Accelerator (TIH)
IIT Ropar - Technology and Innovation Foundation
AWaDH Cyber-Physical Systems (CPS) Courses
Welcome to our Cyber Physical System (CPS) courses, where cutting-edge technology meets practical application. Our curriculum is designed to provide in-depth knowledge and hands-on experience in the rapidly evolving field of CPS, integrating disciplines such as computer science, engineering, and applied sciences.
With a focus on the latest advancements in artificial intelligence, Internet of Things (IoT), industrial automation, and machine learning, these courses are tailored to equip students and professionals with the skills necessary to drive innovation and efficiency in various industries.
Join us to explore the future of interconnected systems and harness the potential of CPS for real-world impact.
Residential Training Program in Industrial Automation and IoT
A Residential Training Program in Industrial Automation and IoT provides participants with a comprehensive understanding of automation technologies and their integration with the Internet of Things (IoT). This program equips learners with hands-on experience in designing, implementing, and troubleshooting automated systems, preparing them for roles in industries at the forefront of technological advancement. Participants gain practical skills in programming PLCs (Programmable Logic Controllers), utilizing sensors and actuators, and leveraging data analytics for optimizing industrial processes. With a focus on practical application and industry-relevant projects, this program aims to empower participants to meet the demands of the rapidly evolving field of industrial automation and IoT.
The inaugural Residential Training Program on Industrial Automation and Internet of Things (IoT) for our first cohort has been a remarkable success. This program provided our participants with an immersive experience into the world of industrial automation systems, covering the intricacies of PLCs (Programmable Logic Controllers) and HMIs (Human-Machine Interfaces), as well as their practical applications and industrial networking protocols.
Throughout the program, students demonstrated dedication and hard work, evident in their assignments and outstanding capstone projects. The highlight of the training was the completion of Project Amazon, which showcased the participants’ skills and knowledge. The first cohort of Residential Trainees gained comprehensive technical exposure to industrial automation, mastering automation systems through hands-on experience and successfully delivering end-to-end projects.
Building on the success of the first cohort, the second cohort of Residential Trainees brought together a group of enthusiastic graduates. This cohort successfully completed a rigorous 10-day training program in Industrial Automation and IoT, encompassing over 70 hours of hands-on training.
Participants were exposed to the dynamic fields of Industrial Automation, Machine Learning, and IoT. The program provided valuable insights into cutting-edge technologies reshaping industries globally. The comprehensive training equipped trainees with the knowledge and skills needed to excel, preparing them for future technological advancements.
AI-CPS (Artificial Intelligence Cyber-Physical Systems) Certificate Course
9-week online certificate course on AI and CPS for agriculture automation for employability enhancement of students and recent graduates. The course is facilitated by faculty members who have extensive experience in teaching, research and industry. The course includes 36 contact hours for lectures and 18 hours of labs. The AI-CPS course is designed to integrate AI and CPS knowledge, catering to the increasing demand for interdisciplinary skills in the technological landscape.
- Provide a comprehensive understanding of Cyber-Physical Systems (CPS) and their application in precision agriculture.
- Equip participants with programming skills and hands-on experience in embedded systems and IoT devices.
- Introduce participants to machine learning (ML) tools and their application in agriculture.
- Foster collaboration and innovation in leveraging AI and CPS for agricultural productivity and sustainability
The course emphasizes the significance of AI and CPS in the agriculture sector, aiming to boost productivity, yield, and income for farmers. With a growing AI market projected to reach US$1.1 billion by 2025, there is immense potential to transform agricultural practices and contribute significantly to GDP growth.
The course is open to undergraduate/postgraduate students from any engineering branch and industry professionals. Basic programming skills in languages like C/C++/Java/Python are required.
- Duration: 9 weeks
- Lectures: 4 hours per week
- Labs: 2 hours per week
- Mode: Online
Timeline: 2nd Batch…..Coming soon
1st Batch
- Applications Open: March 22, 2022
- Course Duration: May 16, 2022, to July 15, 2022
- Week 1-2: Introduction to CPS, Embedded Systems, Programming in C
- Week 3-4: Interfaces, Web Development, Sensor Interfacing
- Week 5-6: Mobile Applications, Python Basics, Machine Learning Fundamentals
- Week 7-8: SVM, KNN, Neural Networks, Deep Learning
- Week 9: Expert Lectures on ML and CPS Applications in Agriculture, Smart Irrigation Automation
AI-CPS (Artificial Intelligence Cyber-Physical Systems) Certificate Course
9-week online certificate course on AI and CPS for agriculture automation for employability enhancement of students and recent graduates. The course is facilitated by faculty members who have extensive experience in teaching, research and industry. The course includes 36 contact hours for lectures and 18 hours of labs. The AI-CPS course is designed to integrate AI and CPS knowledge, catering to the increasing demand for interdisciplinary skills in the technological landscape.
- Provide a comprehensive understanding of Cyber-Physical Systems (CPS) and their application in precision agriculture.
- Equip participants with programming skills and hands-on experience in embedded systems and IoT devices.
- Introduce participants to machine learning (ML) tools and their application in agriculture.
- Foster collaboration and innovation in leveraging AI and CPS for agricultural productivity and sustainability
The course emphasizes the significance of AI and CPS in the agriculture sector, aiming to boost productivity, yield, and income for farmers. With a growing AI market projected to reach US$1.1 billion by 2025, there is immense potential to transform agricultural practices and contribute significantly to GDP growth.
The course is open to undergraduate/postgraduate students from any engineering branch and industry professionals. Basic programming skills in languages like C/C++/Java/Python are required.
- Duration: 9 weeks
- Lectures: 4 hours per week
- Labs: 2 hours per week
- Mode: Online
Timeline: 2nd Batch…..Coming soon
1st Batch
- Applications Open: March 22, 2022
- Course Duration: May 16, 2022, to July 15, 2022
- Week 1-2: Introduction to CPS, Embedded Systems, Programming in C
- Week 3-4: Interfaces, Web Development, Sensor Interfacing
- Week 5-6: Mobile Applications, Python Basics, Machine Learning Fundamentals
- Week 7-8: SVM, KNN, Neural Networks, Deep Learning
- Week 9: Expert Lectures on ML and CPS Applications in Agriculture, Smart Irrigation Automation
1 Week IoT Training Course under AWaDH CPS Lab at National Institute of Technology (NIT) Delhi
A Short-Term Course on the Internet of Things (IoT) with Hands-on Experience at the National Institute of Technology (NIT) Delhi. This six-day workshop, held in collaboration with NIT Delhi, aimed to provide participants with cutting-edge knowledge and practical skills in IoT.
- This workshop aims to provide participants with comprehensive knowledge and hands-on experience in IoT technologies, exploring their applications in various domains and fostering practical skills through expert-led sessions and immersive learning activities.
- Day 1: Inauguration and keynote speeches set the stage with insights into IoT systems and network deployments.
- Day 2: Practical insights from industry pioneers on integrating IoT solutions in hardware startups and exploring emerging opportunities.
- Day 3: Immersive learning at the CPS Lab, covering IoT implementation in hardware-based setups and startup fundamentals.
- Day 4: Advanced techniques including data visualization, AI applications in agriculture, and 3D printing technologies.
- Day 5: Focus on IoT applications in EV and energy systems, design thinking for IoT projects, and the intersection of IoT with electronics.
- Day 6: A celebratory conclusion recognizing collaborative efforts and highlighting the skills and experiences gained throughout the workshop.
