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.

Course Objective:

  • 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

Why Agriculture Applications?

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.

Eligibility & Prerequisites:

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.

Course Structure & Timeline:

  • Duration: 9 weeks
  • Lectures: 4 hours per week
  • Labs: 2 hours per week
  • Mode: Online
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Timeline: 2nd Batch…..Coming soon 

1st Batch 

  • Applications Open: March 22, 2022
  • Course Duration: May 16, 2022, to July 15, 2022

Course Content:

  • 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