Introduction
In a remarkable initiative to cultivate innovation and talent in artificial intelligence (AI) and machine learning (ML), the Indian Space Research Organisation (ISRO) has launched free courses in AI and ML, specifically targeting students and fresh graduates.
This initiative provides access to world-class education and offers a free certificate upon completion, presenting an invaluable opportunity to launch a career in these advanced fields.
About ISRO
The Indian Space Research Organisation (ISRO) is India’s national space agency, operating as the primary R&D division under the Department of Space (DoS), which is directly overseen by the Indian Prime Minister.
ISRO’s achievements include operating the world’s largest constellation of remote-sensing satellites, managing the GAGAN and IRNSS (NavIC) satellite navigation systems, and launching missions to Mars and the Moon.
As one of only six global government space agencies with full launch capabilities, ISRO is at the forefront of space exploration and technology development.
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Overview of the Free AI and ML Courses
Since the advent of artificial intelligence in 1956, AI has transformed from a theoretical concept to a vital technology integrated into daily life.
AI encompasses programs with the ability to sense, reason, act, and adapt, while machine learning (ML) involves algorithms that improve with more data exposure. Deep learning, a subset of ML, uses multilayered neural networks to analyze large volumes of data.
The increased capacity for data storage and processing, along with the proliferation of online devices generating vast amounts of data, has driven AI advancements.
AI applications now include everything from social media photo tagging to e-commerce recommendations, making it an essential technology in today’s digital landscape.
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Course Details
Course Contents
The courses will cover the following topics:
- Overview of AI, ML, and DL
- Supervised, Unsupervised, and Reinforcement Learning Techniques
- Deep Learning concepts including CNN, RNN, R-CNN, Faster RCNN, SSD, YOLO, and their applications
- Lidar Systems in Space
- Machine Learning using Google Earth Engine
- Python for Deep Learning and ML Models
Course Study Material
Participants will receive comprehensive study materials, including lecture slides, video recordings, demonstration handouts, and open-source software. Additionally, video lectures will be available on the e-class platform.
Course Schedule
The course will run with daily online lectures from 4 PM to 5:30 PM. The schedule is as follows:
- 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 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
Eligibility Criteria
These courses are intended for students, fresh graduates, and professionals interested in AI, ML, and DL. Relevant fields include civil engineering, computer science, data analytics, geoinformatics, geomatics, and related areas.
How to Apply
Interested candidates can apply through ISRO’s Learning Management System (LMS). Individual registrations are accepted without delay, and LMS login credentials will be sent to each participant.
Programme Reception
The courses are accessible via the IIRS–ISRO e-class platform with an internet connection. No special software or hardware is required, but robust internet access is recommended. Basic hardware requirements include a laptop or desktop with a microphone, camera, output speakers, a large TV or projector, and a display screen.
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Conclusion
ISRO free courses in AI and ML offer a unique opportunity for students and fresh graduates to gain critical skills in these cutting-edge fields. With comprehensive content, flexible learning schedules, and free certification, these courses provide a robust foundation for anyone looking to excel in AI and ML.
For more details and to register, visit ISRO LMS.
