ISRO Unveils Advanced AI and ML Training Series for Aspiring Students

ISRO is worked up to announce a comprehensive schooling collection on Artificial Intelligence (AI) and Machine Learning (ML), offering a lineup of esteemed professionals. This initiative is designed to equip contributors with current talents in AI and ML, helping their contributions to India’s expanding space zone.

Detailed Course Schedule

 

• • August 19: Introduction to AI, ML, and DL

• • Speaker: Dr. Poonam Seth Tiwari

• • Overview: An advent to the essential principles of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

• • August 20: Methods in Machine Learning: Supervised, Unsupervised, and Reinforcement

• • Speaker: Dr. Hina Pande

• • Overview: In-intensity exploration of numerous gadget mastering methods, which includes supervised, unsupervised, and reinforcement getting to know.

• • August 21: Deep Learning Concepts: CNN, RNN, R-CNN, Faster RCNN, SSD, YOLO, and Their Applications

• • Speaker: Dr. Poonam Seth Tiwari

• • Overview: Detailed coverage of superior deep learning concepts which include Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Region-based CNN (R-CNN), Faster RCNN, Single Shot MultiBox Detector (SSD), You Only Look Once (YOLO), and their practical programs.

• • August 22: Machine Learning Through Google Earth Engine

• • Speaker: Dr. Kamal Pandey

• • Overview: Utilizing Google Earth Engine for gadget studying programs, with a focus on geospatial information analysis.

• • August 23: Python for Machine/Deep Learning Models

• • Instructor: Ravi Bhandari

• • Overview: Practical schooling on using Python programming for developing and deploying device studying and deep getting to know models.

For the today’s updates and particular facts, students can visit the IIRS website.

How to Apply

Interested participants can check in for this esteemed ISRO direction and take a look at their software reputation via the below link https://www.iirs.gov.in/Edusat-News/

Registration Guidelines:

 

• • First-Come, First-Served: Early registration is usually recommended due to constrained slots.

• • Individual Registrations: Automatically authorized. Participants will receive ISRO LMS login credentials without delay after registration.

• • Nodal Centre Registrations: Require approval from the nodal centre coordinator. If the utility is pending approval, participants should contact their respective nodal centre coordinator.

• • Institutional Participation: Organisations should employ a coordinator to sign up as a nodal centre.

Certification

Upon finishing the path with a minimum attendance of 70%, participants will obtain a ‘Course Participation Certificate’. The certificate will be to be had for download from the ISRO Learning Management System (LMS).

Why This Course is Essential

This ISRO initiative gives an exceptional opportunity for students to decorate their expertise in AI and ML, important for the future of generation and area exploration. Don’t miss this chance to advantage valuable expertise and abilities in artificial intelligence and system learning, putting the degree for a promising profession in India’s dynamic area area.

Stay up to date and seize this possibility to examine from the fine in the field.