Artificial Intelligence (AI) and Machine Learning (ML) are transforming various industries, including geospatial data analysis. Recognizing the importance of these technologies, the Indian Institute of Remote Sensing (IIRS) and the Indian Space Research Organisation (ISRO) are offering a free 5-day online course on AI and ML. Scheduled from August 19-23, 2024, this course is designed for professionals and students in geospatial and related fields. In this comprehensive blog post, we will delve into the course details, its content, target participants, and how you can benefit from this opportunity.
Table of Contents
About IIRS and Its Mission
The Indian Institute of Remote Sensing (IIRS), under the Indian Space Research Organisation (ISRO), has been a pioneer in training professionals in Remote Sensing, Geoinformatics, and GNSS Technology. Established in 1966 as the Indian Photo-interpretation Institute (IPI), IIRS has expanded its training programmes to cater to a wide range of participants, including fresh graduates, mid-career professionals, and policy makers.
Course Overview
The “AI/ML for Geodata Analysis” course aims to introduce participants to the fundamentals of AI, ML, and Deep Learning (DL), with a focus on their applications in geospatial data processing.
Course Contents
- Introduction to AI/ML and DL:
- Basic concepts and history
- Distinctions and connections between AI, ML, and DL
- Methods in Machine Learning:
- Supervised Learning: Training models on labeled data
- Unsupervised Learning: Finding hidden patterns in unlabeled data
- Reinforcement Learning: Learning through trial and error
- Deep Learning Concepts:
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Region-based Convolutional Neural Networks (R-CNN)
- Faster R-CNN, Single Shot Multibox Detector (SSD), You Only Look Once (YOLO)
- Applications of Deep Learning in Geospatial Data:
- Object detection and classification
- Change detection
- Feature extraction
- Machine Learning through Google Earth Engine:
- Introduction to Google Earth Engine
- Building and deploying ML models on geospatial data
- Python for Machine/Deep Learning Models:
- Introduction to Python libraries: TensorFlow, Keras, PyTorch
- Developing and training models using Python
Programme Schedule
- Dates: August 19-23, 2024
- Mode: Online through the IIRS-ISRO e-class platform
Detailed Schedule
| Date | Topic | Speaker | Time |
|---|---|---|---|
| August 19 | Introduction to AI/ML and DL | Dr. Poonam Seth Tiwari | 4:00 PM – 5:30 PM |
| August 20 | Methods in Machine Learning | Dr. Hina Pande | 4:00 PM – 5:30 PM |
| August 21 | Deep Learning Concepts and Applications | Dr. Poonam Seth Tiwari | 4:00 PM – 5:30 PM |
| August 22 | Machine Learning Through Google Earth Engine | Dr. Kamal Pandey | 4:00 PM – 5:30 PM |
| August 23 | Python for Machine/Deep Learning Models | Ravi Bhandari | 4:00 PM – 5:30 PM |
Who Can Participate?
This course is specifically designed for professionals and students who wish to familiarize themselves with AI, ML, and DL and apply these technologies to geospatial applications. It is highly relevant for individuals in fields such as Civil Engineering, Computer Science, Data Analytics, Geoinformatics, and Geomatics.
Target Participants
- Central/State/Private Universities & Academic Institutions
- Central & State Government Departments
- Forest Resource Professionals
- State Forest Departments/Forest Training Academies
- Research Institutes
- Geospatial Industries
- NGOs
Registration and Course Fee
One of the standout features of this programme is that there is no course fee for attending. Participants can register through two primary methods:
Nodal Centres Registration
- Participants must get their registration approved by the coordinator of their respective nodal centres.
- They can check their registration status on the IIRS website.
- If approval is pending, participants should contact their nodal centre coordinator.
Individual Registrations
- Automatically approved.
- Participants will be provided with login credentials for the ISRO Learning Management System (LMS).
Important Links for Registration:
Course Study Materials
All study materials, including lecture slides, video-recorded lectures, open-source software, and handouts, will be available through the e-class platform. Video lectures will also be uploaded for future reference.
Programme Reception and Technical Requirements
The programme can be accessed using a good internet connection. While specific hardware is not required, for classroom settings, it is recommended to have:
- A desktop computer with a web camera, microphone, and output speakers, or a laptop with these features.
- A large display screen, projector, or TV.
Award of Certificates
Participants will receive a “Course Participation Certificate” under the following conditions:
- Nodal Centres: Awarded based on 70% attendance.
- Individual Registrations: Awarded to those who devote at least 70% of each session’s hours to the course. Certificates will be available for download on ISRO LMS.
Feedback Mechanism and Awards
IIRS gathers ongoing feedback from participating institutions to enhance the quality of future courses. The institute has been recognized for its excellence in training for outreach and e-learning, receiving national awards during the 1st National Symposium on Excellence in Training conducted in April 2015.
How to Register?
Participants can apply directly through the provided links. Registration is automatically approved, and participants will be provided with login credentials for the ISRO Learning Management System (LMS).
Here’s the direct link to apply: Apply Here.
Contact Information
For any questions or additional information, participants may reach out to:
- Ms. Shefali Agrawal: Group Director, GTOPG & Course Director
- Dr. Harish Karnatak: Head, GIT & DL Dept.
- Dr. Poonam S Tiwari: Programme Coordinator
- Mr. Janardan Vishwakarma & Mr. Ashok Ghildiyal
Tel: 0135-2524130
Email: dlp@iirs.gov.in
Address: Indian Institute of Remote Sensing, Indian Space Research Organisation, Department of Space, Government of India, 4-Kalidas Road, Dehradun
Conclusion
The 144th IIRS Outreach Programme offers a unique opportunity to delve into the world of AI and ML for geospatial data analysis. Whether you are a professional looking to upgrade your skills or a student eager to explore new technologies, this course provides comprehensive training and practical knowledge to help you excel in this rapidly evolving field. Don’t miss this chance to be part of a transformative learning experience.
For more details and to stay updated, visit the IIRS Official Website.
More Details: IIRS Official Website
Publisher Information
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