ISRO Launch free 5 days AI, ML course with Certification from August 19 to August 23, 2024

About the Course

AI has been part of our imaginations and simmering in research labs since a handful of computer scientists rallied around the term at the Dartmouth Conferences in 1956 and birthed the field of AI In the decades since, AI has alternately been heralded as the key to our civilization’s brightest future Artificial Intelligence is a program that can sense, reason, act and adapt Machine Learning refers to algorithms whose performance improve as they are exposed to more data over time Deep Learning is subset of machine learning in which multilayered neural networks learn from vast amounts of data Advancements in computer processing and data storage made it possible to ingest and analyze more  data than ever before Also more and more data is being produced by connecting more devices and machines to the internet and streaming large amounts of data from those devices All of these advancements brought artificial intelligence closer to its original goal of creating intelligent machines, which we’re starting to see more and more in our everyday lives From recommendations on our favourite retail sites to auto generated photo tags on social media, many common online conveniences are powered by artificial intelligence The main applications of deep learning AI can be divided into computer vision, natural language processing ( and reinforcement learning This course introduces the AI, ML and Deep learning alongwith data processing techniques and case examples in geospatial data processing The course is scheduled from August 19 24 2024

Target Participants

The course is designed for Professionals willing to get acquainted with AI,ML and Dl and use the technology geospatial applications, students researchers of civil engineering, computer science, Data Analytics, geoinformatics Geomatics etc

Course Contents

The course will contain following broad topics:

• Introduction to AI/ML and DL
• Methods in Machine Learning: Supervised, Unsupervised and Reinforcement
• Deep Learning concepts through CNN, RNN, R CNN, Faster RCNN, SSD, YOLO etc & their applicationsSpaceborne Lidar Systems
• Machine learning through Google earth engine
• Python for Machine/Deep Learning Models

Course Study Material

Course study materials like lecture slides, video recorded lectures, open source software handouts of demonstrations, etc will be made available through e class Video lectures will also be uploaded on e class https :://www eclass iirs gov in/login

Course Fee

There is no course fee for attending this programme Course Registration

Course Registration

• Course updates and other details will be available on URL http :://www iirs gov in/Edusat News/
• Registered through Nodal centres The participant’s registration must be approved by the coordinator of nodal centres
• The participants can register and see their application status through URL https :://elearning iirs gov in/edusatregistration/ In case, the application is pending for approval then participants are advised to contact the coordinator of respective nodal centre

Registered as “Individual registrations”

• The participants with individual registration will be automatically approved All the registered participants will get their login credentials for ISRO Learning Management System https://isrolms.iirs.gov.in

Course Funding & Technical Support

The programme is sponsored by Indian Space Research Organisation, Department of Space, Government of India

Programme Reception

Programme can be received through e class platform of IIRS ISRO using internet connectivity No specific hardware/software required However, it is recommended good internet connectivity at user end To run the programme in class room, following hardware will be required

• Desktop computer with web camera microphone and output speakers or laptop with microphone camera and output speaker
• Large display screen/projector/TV

Important links

To participate in this programme the interested organizations/ universities/ departments/ institutes have to identify coordinator at their end The identified coordinator will register online his/her institute as nodal center in IIRS website https :://elearning iirs gov in/edusatregistration/coordinator

Award of Certificate

Registered through Nodal centres Based on 70 attendance students will be awarded a “Courses participation Certificate

Individual Registration A “Course Participation” certificate will be given to everyone who devotes at least 70 of each session’s hours to the course The course participation certificate will be available for download in ISRO LMS

There are a limited number of seats. Registration will be done on a first-come, first-served basis.

Contact Details

Ms. Shefali Agrawal

Group Director, GTOPG & Course Director

____________________

IIRS

DLP Team

Dr. Harish

Karnataka

Head, GIT& DL Dept.

Dr. Poonam S Tiwari

Programme Coordinator

IIRS Outreach Programme

Mr. Janardan Vishwakarma & Mr. Ashok Ghildiyal

Tel: 0135 2524130;

Email dlp@ iirs.gov.in