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
