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Astronomical Data Science with Python [Nov 2024 Batch]

Live Lectures with Recordings - Attendance Not Mandatory

10 weeks Training and 10 weeks [Paid] Internship

Apply Before - November 16, 2024, 11:59 PM

Starting From

2
November 2024

Format

Online
Interactive

Pre-requisites

No-Prerequisites

Program Fees

6990/-
INR

Here's What you'll Learn

Basics of Python Programming

Understanding Mathematical Library for Image Processing

Advanced Image Processing Techniques

Understanding Multispectral Deep Space Images

Diving into a Black Hole Image

Generating Insights from variety of Images using Machine Learning

Introduction to Neural Networks

Building a project on Computer Vision for Astronomy

Why Enrol in this Program?

The program has absolutely zero pre-requisites. We train you from scratch and take you to the top.

Extensive Teaching

Get thoroughly trained by IITians and IISTians with complete guidance and assistance throughout the program.

Online, interactive training sessions
Daily doubt sessions
In-depth study modules & resources
Regular assignments
Regular performance reports
Lifetime access to recorded sessions

Hands-On Training

Learn through practical implementation and hands-on training and advance from the basic to advanced concepts of AI.

Practical coding sessions
Learn by practical implementation
Practice assignments
Training completion certifcate

Research Internship

Complete the training and grab a guided research internship and develop solutions to the most exciting problems.

2 months online internship
Solve critical domain problems
Live discussions with instructor
Present and evolve your ideas
Write and publish research papers
Internship completion certifcate

Major Take-aways

Training Program Completion Certificate

Performance Report by Instructors

Letter of Recommendation for good performance

Paid Research Internship Completion Certificate

Life long connections with Faculties and Peers

Life time access to the recordings of all the sessions throughout the program

Earn Training and Internship Certifcates

Training Duration	10 weeks Training and 10 weeks [Paid] Internship
Schedule of Online Sessions	3 sessions per week
Online Session Timing	7 PM
Online Session Duration	90 Mins
Doubt Sessions	After Lectures
Pre-requisites	No-Prerequisites
Eligibility Criteria	Everyone above 10th std.
Content Availability	Accessible for Lifetime (All the lecture Recordings will be Available)
Certificate	Certificate of Training Program and Internship (Separate)

Instructors

Sudhir Sajan

Head AI Faculty at Spartificial. Aerospace Engineer. 12+ years' Experience as Data Science Trainor

Jayati Vijaywargiya

Research Scientist at ISRO. MTech & PhD. from IIST Thiruvananthapuram

Avinash Kumar

Senior Project Associate at Aryabhatta Research Institute of Observational Sciences || Astronomy and Astrophysics | Big Data | Machine Learning

Rohan Shah

Machine Learning Engineer, Program Manager and Instructor

What do People Say About Us?

Hear from what our past students have to say about their training program experiences with Spartificial.

This was definitely a very interesting process of learning! Even though the application and exploration process will take time and is constantly evolving, I personally found this program as a perfect amalgamation of it all!

Chinmay Ratnaparkhe - Artificial Intelligence for Lunar Exploration

Mechanical Engg '24, IIT Bhilai

I learnt basic Machine Learning algorithms, python, data visualization, EDA, etc. This course has been very helpful in getting me introduced to machine learning. I would like to further my knowledge in this field and get into more advanced fields of AI.

Rahul Mathew - Exploring Asteroids with Machine Learning

I wasn't even familiar with basic python but now I can recognize, read and write a basic code pretty easily. The most wonderful part of this process was how eventually I could see the lines connecting Space Science and programming languages which is something I always struggled to understand. Due to the conceptual knowledge taught in this course, I can now understand the terms written in asteroid related data files which itself feels quite fascinating.

Arushi Mittal - Exploring Asteroids with Machine Learning

BS Phy (hons) '22, Punjab University

It’s a perfect tailored course for anyone interested in astronomy and machine learning.

HARIN KUMAR MALLELA - Student of Previous Batch

Engineer in Skyroot Aerospace

Frequently Asked Questions

Will I get the Certificate for this program?

Yes, you will get a Certificate of Training Program, Performance Report and If you get selected for Research Internship, then Letter of Appointment and Internship Certificate.

Will the recordings of the lectures be available if I miss a class?

Yes, you will be getting all the lecture recordings and downloadable content.

Will I get the internship after this program?

Yes, the internship will be provided after completion of the training program.

Is the Internship paid? What will be the stipend?

Yes, the internship after completing the training will be paid. The stipend depends on the research project and usually starts from INR 1,000 for the project.

Major Take-aways

Week 2 & 3 - Advanced Introduction to Python Programming

Week 4 - Introduction to Computer Vision, Astronomical terminologies and Mathematics libraries

Week 5 - Astronomical Data Analysis and Visualization

Week 6 - Advanced Image Processing and Starting to understand the Black Hole

Week 7 - Astronomical data analysis using different dataset

Week 8 - Research Methodologies and Intro to Machine Learning

Week 9 & 10 - Building a Project on Deep Learning and Computer Vision

Internship Phase 1 - Going in depth of your problem statement and mastering all the concepts associated with it.

Internship Phase 2 - Build scalable solution and conclude your research

What do People Say About Us?

Hear from what our past students have to say about their training program experiences with.css-53blzj{color:var(--chakra-colors-gray-50);} Spartificial.

Have a Query?

Hear from what our past students have to say about their training program experiences with Spartificial.