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LEARN

MACHINE LEARNING

DATA SCIENCE

WEB DEVELOPMENT

PYTHON

PROGRAMMING

PROBLEM SOLVING

CRITICAL THINKING

WITH PROJECTS

Building The Future Of Collaborative Learning And Development.

For Better Future

Identifying issues related to the environment and building practical AI solutions. Our vision is to make the most of AI to advance the sustainable development of mankind on a global level. Focused on inculcating these initiatives in our training programs for a better future.

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Path to Innovation

We are a group of like-minded people who share a common zeal for exploring new technologies and building viable solutions using them. Spartificial keeps on setting new limits to building the future with innovative ideas and technology.

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Collaboration

Our agenda is to provide a platform to collaborate with the most interesting and unique personalities across the globe. Like Cosmos, Spartificial is an open space that welcomes everyone. We constantly bring to you industry leaders from not just India but beyond borders to push your borders.

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Research

Spartificial is a space that makes Research a fun group activity. We are a team of 100+ researchers who constantly discover and work on intriguing projects pertaining to Space Science, AI, and Social Good.

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About Our

Select Domain
Select your domain of interest to work on during the internship.
Problem Statement
Connect with experienced mentors and select your problem statement.
Duration
Your thoroughly mentored research internship lasts for the duration decided by you.
Deliverables
Get access to live sessions with your mentor, various resources, video lectures, libraries, etc.
Research Paper
As your research advances, you can also move on with writing and publishing a research paper of your own.
No Pre-requisites
Whether you have the skills or not, we have the mentor, material, and problem statement for you.
Our Problem-Based methodology is what makes Spartificial unique.​
Our projects carry a highly disciplined and structured approach to learn basics to advanced concepts of Artificial Intelligence and the applications.
We believe in learning by doing for in-depth understanding of every concept.​
Pre-requisites for every project are elaborated in respective project page and related resources are published at Resources.​

Live Training Program

Machine Learning for Astronomy [Nov 2024 Batch]

254 reviews

10 weeks Training Program and 2 Months Internship

Apply before November 24, 2024

No-Prerequisites

Live Training Program

Astronomical Data Science with Python [Nov 2024 Batch]

487 reviews

10 weeks Training and 10 weeks [Paid] Internship

Apply before November 16, 2024

No-Prerequisites

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

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