From August 19 to 23, the Indian Space Research Organization (ISRO) will provide a free five-day online course to provide students with the fundamentals of machine learning (ML) and artificial intelligence (AI).
The free five-day course on “AIs” aims to promote creativity in the space industry and beyond as part of the IIRS outreach program. There is no cost to participate in this program.
The Indian Institute of Remote Sensing (IIRS) outreach initiative was started in 2007 and has since grown to over 3,500 network institutes, benefiting NGOs, government agencies, universities, and research centres. Building capacity in geographic technology and its applications has greatly benefited from it.
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Eligibility for the course
Professionals, students, and researchers in disciplines such as computer science, geoinformatics, and civil engineering are the intended audience for the free Isro course.
Applying is encouraged for those who are curious about how AI, ML, and deep learning (DL) might be used for geospatial applications.
Course material
The Isro course will cover the following broad topics:
- Overview of AI/ML and DL Techniques for Machine Learning: Reinforcement, Unsupervised, and Supervised
- Applications of CNN, RNN, R-CNN, Faster RCNN, SSD, YOLO, and other Deep Learning concepts
- Lidar Systems in Space
- Python for Machine/Deep Learning Models with Google Earth Engine for Machine Learning
- Using an online learning environment, the course will offer lecture slides, video recordings of lectures, open-source software, and demonstration handouts from August 19–23, 2024.
The course will be delivered virtually through the IIRS-ISRO e-class platform; all that is needed is a working internet connection and some basic computer gear.
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Schedule of courses
Every day from 4 p.m. to 5:30 p.m., there will be online lectures for this Isro course.
- August 19: Dr. Poonam Seth Tiwari introduces AI/ML and DL.
- August 20: Dr. Hina Pande, Supervised, Unsupervised, and Reinforcement Methods in Machine Learning
- Aug. 21: Deep Learning Concepts: Dr. Poonam Seth Tiwari’s Presentation on CNN, RNN, R-CNN, Faster RCNN, SSD, YOLO, and Their Applications
- August 22: Dr. Kamal Pandey on Machine Learning Using Google Earth Engine
- Aug. 23: Ravi Bhandari’s Python for Machine/Deep Learning Models
Further details and updates can be checked here.
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APPLICATION PROCEDURE
Using this page, participants can register for this ISRO course and monitor the status of their application.
The order of registration is first come, first served.
Individual registrations are approved automatically, and participants will get their ISRO LMS login information.
With permission from the nodal centre coordinator, participants may also register through nodal centres. Participants should get in touch with the coordinator of their respective nodal centre if their application is still undergoing approval.
Organizations must designate a coordinator to register their institution as a nodal centre and enable institutional involvement.
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Course Fee
There isn’t a charge to participate in this program.
Course Financing and Technical Assistance
The Indian Space Research Organization, Department of Space, Government of India, is the program’s sponsor.
AWARD OF CERTIFICATION
A “Course Participation Certificate” will be awarded to students who finish the course with at least 70% of attendance.
The ISRO Learning Management System will allow users to download this certificate (LMS).
Through this ISRO project, people have a fantastic chance to advance their AI knowledge and support India’s expanding space industry. Don’t pass up this opportunity to increase your proficiency with machine learning and artificial intelligence.
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