AI for Space Application

AI for
Space Application

The global remote sensing technologies market was valued at $13.1 billion in 2022 and is expected to reach $27.1 billion by 2028

Recording Available

5 Hours

Reserve seat for ₹399

Limited to 100 Students. Hurry Up!!!

LEARN ALL RELEVANT SKILLS

Spatial Analysis

K-Means Clustering

Data Visualization

CNN

Remote Sensing

Program Curriculum

Overview of QGIS for geospatial analysis
Fundamentals of scientific computing
Review of existing trends in spatial data analysis
Hands-on exercise
Project programming
Completion of hands-on project

Understand the in depth concepts and tools you will learn throughout the program.

Explore our detailed curriculum!

Master essential AI tool

Gain hands-on experience with the tools used by professional remote sensing engineers to drive success and deliver value in the real world.

Key Learning

Remote sensing

Understand the principles and applications of remote sensing technologies.

Proficiency in GQIS

Develop skills in using GQIS for geospatial data analysis and visualisation

Scientific computing techniques

Master the methods of applying scientific computing to analyse and interpret the data

Geospatial computing skills

Gain hands-on experience in geospatial computing for data processing

Algorithms

Understand and apply encoder-decoder architectures, K-means clustering, Convolutional Neural Networks (CNNs), and advanced spatial computing preprocessing algorithms.

Massive Parallelism and Supercomputing

Explore supercomputing approaches for handling and processing remote sensing data.

Mentored By

Arya Pratap

Employed as an edge computing scientist. Completed his bachelor’s degree in Acropolis, Indore. Secured AIR 4 in the entrance exam for IIRS. Impressed by his works, he got an invitation from NASA Johnson Space centre for his incredible work on moon. Awarded as the youngest scientist in ISRO at PRL. Presented multiple papers at NASA, JAXA, ESA and other space agencies. First Indian to perform edge computing. Published researches across multiple journals.

Our Mentors Have Taught
Space Technology to Professionals from

Trusted by Learners

2000+ students across the world have rated by doing our masterclass ,courses,training programmes

Get Certified!

Yes! You will be certified for this
program submission of your assignment

Feedback from Batch 1

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Mastered remote sensing principles and applications, enabling you to analyze and interpret spatial data effectively.

Developed proficiency in QGIS for comprehensive geospatial analysis and visualization.

Gained expertise in scientific and geospatial computing techniques for robust data analysis.

Applied advanced algorithms, including encoder-decoder architectures and CNNs, for sophisticated spatial data processing.

Completed hands-on projects, enhancing your practical experience and ability to execute remote sensing tasks independently.

By the end of the program you’ll have:

FAQs

1. What is the duration of the masterclass?

The masterclass spans two days, held on July 13th and 14th, 2024.

2. Who is the masterclass for?

AI & ML enthusiasts, Space Tech Professionals, GIS experts and Students

3. Will there be any hands-on exercises?

Yes, the masterclass includes hands-on exercises and projects to enhance practical experience.

4. Who is the instructor for this masterclass?

Arya Pratap, an edge computing scientist and partner at Kaleido Space Systems, will lead the masterclass.

5. Will there be any certificates awarded upon completion?

Yes, participants will receive a certificate of completion at the end of the masterclass.

6. What if I miss a session?

Recorded sessions will be available for registered participants to catch up on missed content.