In a groundbreaking move to foster innovation and talent in the fields of artificial intelligence (AI) and machine learning (ML), the Indian Space Research Organization ISRO has launched free courses open to students and freshers. This incredible opportunity not only provides access to world-class education but also offers a free certificate upon completion, making it a golden chance to kickstart a career in these cutting-edge domains.
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About the ISRO
India’s governmental space organization is called the Indian Space Research Organization (ISRO). It functions as the main R&D division of the Department of Space (DoS), which is directly under the direct supervision of the Indian Prime Minister. The Chairman of ISRO also holds the position of chief executive of the DoS.
The GAGAN and IRNSS (NavIC) satellite navigation systems are run by ISRO, which also possesses the largest constellation of remote-sensing satellites in the world. It has launched one mission to Mars and three to the Moon. Space-based activities, space exploration, international space cooperation, and related technology development are the main areas of responsibility for ISRO.
ISRO is one of the six global government space agencies with complete launch capabilities, including the capacity to use cryogenic engines for launch alien expeditions and the capacity to manage a sizable fleet of man-made satellites.[b]Only four governmental space agencies worldwide possess the ability to do soft landings (unmanned). This includes ISRO.
The Indian National Committee for Space Research (INCOSPAR) was the previous name of ISRO. It was established in 1962 at the suggestion of the foresighted scientist Dr. Vikram Sarabhai, at the request of then-Prime Minister Jawaharlal Nehru. In 1969, INCOSPAR changed its name to ISRO and became a component of the Department of Atomic Energy (DAE). The Indian government established the Space Commission and the DoS in 1972, thereby assuming responsibility for ISRO.
About the Free courses in AI and ML
Since the discipline of artificial intelligence (AI) was founded in 1956 by a group of computer scientists at the Dartmouth Conferences, it has been simmering in research labs and part of our imaginations. Since then, artificial intelligence has alternately been hailed as the key to the greatest future for our society.
AI refers to a program that possesses sensing, reasoning, action, and adaptability. Algorithms that exhibit improved performance with increased data exposure are referred to as machine learning algorithms. Multilayered neural networks are used in Deep Learning, a subset of machine learning, to learn from enormous volumes of data.
More data can now be ingested and analyzed than in the past thanks to developments in computer processing and data storage. Also, a growing amount of data is being generated by expanding the number of equipment and devices that are online and broadcasting massive volumes of data from those machines and devices.
With each passing year, artificial intelligence has progressed toward realizing its initial vision of producing intelligent machines, which are beginning to appear more frequently in our daily lives.
Artificial intelligence powers many everyday internet comforts, from auto-generated photo tags on social media to recommendations on our favorite retail websites. Natural language processing (NLP), reinforcement learning, and computer vision are the three primary areas in which deep learning is being used.
Eligibility Criteria
The course is intended for professionals who want to learn about artificial intelligence (AI), machine learning (ML), and deep learning (DL), as well as students and researchers in civil engineering, computer science, data analytics, geoinformatics, geomatics, and related fields.
Course Contents
The following general subjects will be covered throughout the course:
Overview of DL and AI/ML
Supervised, Unsupervised, and Reinforcement Learning Techniques
Applications of CNN, RNN, R-CNN, Faster RCNN, SSD, YOLO, and other Deep Learning concepts Lidar Systems in Space
utilizing the Google Earth engine for machine learning
Python for Deep Learning/Machine Learning Models
Course Study Material
Through the class, course study resources such as lecture slides, video recordings of lectures, handouts of demonstrations, and open source software will be made available.
Additionally, video lectures will be posted to e-class.
Course Schedule
Online lectures in this Isro course will be held every day from 4 pm to 5:30 pm.
Aug 19: Introduction to AI/ML and DL – Dr. Poonam Seth Tiwari
Aug 20: Methods in Machine Learning: Supervised, Unsupervised, and Reinforcement – Dr. Hina Pande
Aug 21: Deep Learning Concepts: CNN, RNN, R-CNN, Faster RCNN, SSD, YOLO, etc., and Their Applications – Dr. Poonam Seth Tiwari
Aug 22: Machine Learning Through Google Earth Engine – Dr. Kamal Pandey
Aug 23: Python for Machine/Deep Learning Models – Ravi Bhandari
Course Registration
Course updates and other details will be available on the URL Click Here.
In case, the application is pending for approval then participants are advised to contact the coordinator of the respective nodal center.
•Those who register individually will be accepted without delay. The ISRO Learning Management System (LMS) login credentials will be sent to each enrolled participant Click Here
IIRS Outreach Program
Since its launch in 2007 with 12 universities and other institutions, the IIRS outreach program has expanded significantly to include 3500+ network institutes. The following individuals could benefit from the program:
Universities and other academic institutions,
Whether central, state, or private;
Departments of the central and state governments;
Specialists in forest resources;
State forest departments and training academies;
Research institutes;
The geographic industries;
Non-governmental organizations
Feedback Mechanism
IIRS takes continuous feedback from participating institutions to improve the quality of future courses.
Awards
IIRS received national awards for excellence in training for outreach and e-learning programs during the 1st National Symposium on Excellence in Training conducted on April 11-12, 2015 in New Delhi by the Department of Personnel & Training (DoPT), Govt. of India in collaboration with United Nations Development Program (UNDP).
Program Reception
Programs can be accessed via the IIRS–ISRO e-class platform with an internet connection. No particular software or hardware is needed. On the user’s end, robust internet access is advised. The application will need the following hardware to run in a classroom:
A laptop or desktop computer equipped with a microphone, camera, and output speakers as well as an online camera.
Large TV, projector, and display screen.
How To Apply?
If you are an Interested Candidate You can apply For the ISRO Launched Free Artificial Intelligence Online Internship Click Here
For more details about Infosys Launched Free Artificial Intelligence Online Internship Click Here
IIRS Outreach Program Click Here