How to Enroll for 5 Days ISRO AI Free Courses?

Pankaj Singh Last Updated : 07 Aug, 2024
6 min read

Introduction

As someone deeply passionate about the intersection of technology and education, I am thrilled to share that the Indian Space Research Organisation (ISRO) is offering an incredible opportunity for students interested in artificial intelligence (AI) and machine learning (ML). From August 19 to 23, ISRO will conduct a free, comprehensive online course designed to equip participants with essential skills in these cutting-edge fields. This ISRO AI free course is free of charge and culminates in a certificate of completion, adding a valuable credential to your academic and professional portfolio.

The course is part of ISRO’s Indian Institute of Remote Sensing (IIRS) outreach program. Since its inception in 2007, it has been a significant force in promoting innovation and capacity building in geospatial technology. This initiative has grown to encompass over 3,500 network institutes, benefiting universities, government departments, research institutes, and NGOs.

How to Enroll for 5 Days ISRO AI Free Courses?

Overview

  1. ISRO is offering a free AI/ML course from August 19-23, culminating in a certificate of completion.
  2. The course is part of ISRO’s IIRS outreach program, benefiting universities, government departments, and NGOs.
  3. It covers AI/ML basics, deep learning concepts, spaceborne Lidar systems, and practical applications using Google Earth Engine.
  4. Experts will conduct daily online lectures from 4 p.m. to 5:30 p.m., and participants need only a stable internet connection.
  5. To enroll, visit the IIRS website, register under Distance Learning Programmes, and await LMS login credentials.

Course Eligibility and Content of ISRO AI Free Course

This ISRO 5 Day AI Course is tailored to a diverse audience, including professionals, students, and researchers in civil engineering, computer science, and geoinformatics. It suits those eager to explore AI, ML, and deep learning (DL) for geospatial applications.

The course content is meticulously designed to understand AI and ML comprehensively. Here’s a glimpse of what participants can expect:

  1. Introduction to AI/ML and DL: The foundational concepts of artificial intelligence, machine learning, and deep learning.
  2. Methods in Machine Learning: Exploring supervised, unsupervised, and reinforcement learning methods.
  3. Deep Learning Concepts: This section covers CNN, RNN, R-CNN, Faster RCNN, SSD, YOLO, and their applications in depth.
  4. Spaceborne Lidar Systems: Understanding the application of Lidar systems in space technology.
  5. Machine Learning Through Google Earth Engine: Practical learning using the Google Earth Engine.
  6. Python for Machine/Deep Learning Models: Hands-on experience with Python for developing machine and deep learning models.

The course is structured to provide a mix of lecture slides, video-recorded lectures, open-source software, and demonstration handouts through the e-class platform. To participate, you only need a stable internet connection and a basic computer setup.

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Course Schedule of ISRO AI Free Course

The online lectures will be held daily from 4 pm to 5:30 pm, featuring renowned experts in the field:

  • August 19: Introduction to AI/ML and DL by Dr. Poonam Seth Tiwari
  • August 20: Methods in Machine Learning by Dr. Hina Pande
  • August 21: Deep Learning Concepts and Applications by Dr. Poonam Seth Tiwari
  • August 22: Machine Learning Through Google Earth Engine by Dr. Kamal Pandey
  • August 23: Python for Machine/Deep Learning Models by Ravi Bhandari

Updates and additional details about the course will be available on the IIRS website.

How to Enroll For the ISRO AI Free Course?

Interested participants can register for the course and check their application status through the IIRS website. Registration is on a first-come, first-served basis, with automatic approval for individual registrations. Participants will receive the ISRO Learning Management System (LMS) login credentials. Institutional participation is also encouraged, where organizations must identify a coordinator to register their institute as a nodal center.

Here are the steps to enroll in ISRO 5 Day AI Course:

  • 1st Step: Search for the INDIAN INSTITUTE OF REMOTE SENSING, Indian Space Research Organisation – Click here
ISRO 5 Day AI Course
  • 2nd Step: Search for the Distance Learning Programmes
  • 3rd Step: Click on the EDUSAT option and it will take you to the following page.
ISRO 5 Day AI Course

In the end, click on the registration, and wait for the response from ISRO, you will get ISRO LMS credentials.

Here’s the Brochure:

Certificate Award After Completion of ISRO 5 Day AI Course

Upon successful completion, participants can download their certificate from the ISRO LMS. This certificate is a testament to the skills acquired and the effort put into the course.

This ISRO initiative is an excellent opportunity for anyone looking to enhance their knowledge and skills in AI and ML. It offers a pathway to understanding these transformative technologies and allows participants to contribute meaningfully to India’s growing space sector. Don’t miss this chance to advance your capabilities and be a part of something extraordinary.

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Conclusion

As I reflect on this incredible opportunity, I can’t help but feel a sense of excitement and anticipation for the journey ahead. This ISRO initiative is more than just a course; it’s a gateway to the future of technology and innovation. By participating, you’re not just gaining knowledge—you’re becoming part of a community dedicated to pushing the boundaries of what’s possible with AI and ML.

Imagine the possibilities: the skills you’ll acquire, the projects you’ll undertake, and the new horizons you’ll explore. Whether you’re a student, a professional, or a researcher, this course is designed to ignite your curiosity and equip you with the tools needed to excel in the rapidly evolving field of geospatial technology.

ISRO’s commitment to education and capacity building shines through in every aspect of this program. The expert-led sessions, hands-on learning experiences, and the esteemed certification you’ll earn are all tailored to ensure you emerge more knowledgeable and confident in your abilities.

For more information and to register, visit the IIRS website.

Frequently Asked Questions

Q1. What is the ISRO AI Free Course and who can benefit from it?

Ans. The ISRO AI Free Course is a comprehensive online program offered by the Indian Space Research Organisation, designed to equip participants with essential skills in artificial intelligence and machine learning. This course is ideal for professionals, students, and researchers in fields like civil engineering, computer science, and geoinformatics who are eager to explore AI, ML, and deep learning for geospatial applications.

Q2. What will the course content include?

Ans. The course covers:
a. Introduction to AI, ML, and deep learning.
b. Machine learning methods: supervised, unsupervised, and reinforcement learning.
c. Deep learning concepts: CNN, RNN, R-CNN, Faster RCNN, SSD, YOLO.
d. Spaceborne Lidar systems.
e. Google Earth Engine for practical ML.
f. Python for ML/DL models.

Q3. How is the course structured and delivered?

Ans. The course runs from August 19 to 23. It features expert speakers and daily online lectures from 4 pm to 5:30 pm. The course includes lecture slides, video lectures, open-source software, and demonstration handouts on the e-class platform.

Q4. How can I enroll and what are the steps to apply?

Ans. To enroll:
a. Visit the IIRS website.
b. Search for Distance Learning Programmes and select EDUSAT.
c. Follow the registration instructions. Registration is first-come, first-served. Participants will receive LMS login credentials and can download their certificates upon course completion.

Hi, I am Pankaj Singh Negi - Senior Content Editor | Passionate about storytelling and crafting compelling narratives that transform ideas into impactful content. I love reading about technology revolutionizing our lifestyle.

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