AI & ML Training program
application form
virtual interaction
based scholarships
on a rolling basis

About the program
Our AI/ ML Bootcamp is consciously designed to bring about innovative thinking within you through a constant process of learning to Research, Develop, and Design, followed by reprocessing to Adapt and Evolve to the tech waves and build innovative and outstanding technologies.
Our Bootcamps give you the must-have skills to confidently navigate throughout your career milestones.
The traditional path of becoming a Research Scientist in AI/ML is to get a bachelor’s degree, then obtain a master’s and opt for a doctorate later.
The SukShi path is to join our One month Bootcamp, to train both the mindset and skills required to become a research scientist in the field of ML and AI. We collaborate with both internal and external partners to teach technology and cultivate diverse perspectives to develop the Research mindset.
Choose YOUR path!!
Learning Experiences

The Math Team
The backbone of Technologies we develope at SukShi Abode. A curious and technology-driven Research tribe who identify early signals, microtrends and hidden seeds in ML/AI core-technologies before they skyrocket and implement them in the early stages.
What we bring to the table
We analyze, design and innovate new technologies and optimize the existing solutions through the state-of-the-art concepts and technologies in Artificial Intelligence & Machine Learning and adapt to the changes in technology by self/continuous learning. We are advancing the SOTA in AI/ ML field through fundamental and applied research by collaborating with the best Research Scientists in the field of Computer Vision, NLP, Speech & Audio, Human & Machine Intelligence, and Reinforcement Learning across the world.
Get Inspired!

Celebrations
Be part of the cultural festival

Talent Showcase

Community & Family
Build long lasting friendship and support each other
Learning Experiences
Aspirants come together from across the country and start the learning journey with engaging onboarding activities. After the fun-filled activities and interactions, dive into the curriculum of learning and building the foundation from ground zero and hands-on activities.
Revisiting Math foundations of computer science, Calculus, Integration and Approximation, Matrices & Linear Transformations, Probability Theory for Computer science, Modern Regression.
Programming Languages, Data structures& Algorithms
Machine learning & Deep learning, Problem-solving AI, Natural language processing & Computer vision.
Acquire the necessary technical skills, Become a critical thinker, develop skills such as communication, presentation ability, teamwork, patience, strong attention to detail, data analysis, Obtain hands-on experience, Network with greatest minds across the world.
The YTS
Experience
Class Profile
- Class of 2021
Admission Process
Apply
Assessment & Interview
Go through our assesments
Selection
Get Selected
BECOME A SukShian
Join us for the Program
Testimonials
- Hear from our Young Tech Scholars












Dates to Remember
June 09, 2022
June 24, 2022
Assessments
July 07, 2022
Finalization
July 13, 2022
Orientation

Application Form Requirements
- Standardized Test Scores
- Academic scores: Grades 9, 10, 11 and 12 marks (where available)
- Written or video essays
- Extracurricular activities, achievements and creative projects
- Leadership roles
- More details in

Eligibility Criteria
- Applicants should be currently enrolled in Grade 12 or equivalent or should have completed Grade 12 (or equivalent)
- Should have studied mathematics till Grade 12 for all undergraduate programs
- Should have studied physics till Grade 12 to apply to B. Tech in Computer Science and AI, Robotics and Cyber-Physical Systems and Biological Systems Engineering
- We strongly encourage you to submit at least one of these scores - SAT, ACT, KVPY, JEE Mains, Pearson Undergraduate Entrance Exam - to be eligible for a firm offer of admission.
- Students who apply using only predicted scores may go through an extra stage of evaluation.
- Admission decisions are of 4 types - Firm offer, conditional offer, deferral of decision and denial. To know more click on 'Admission Policies' button on the left
Application Timeline
Fees

- Tuition Fees ₹ 6,95,000
- Hostel Fees ₹ 1,35,000*
- Total ₹ 8,30,000*
Contact Information
+91 172 6670999
apply@plaksha.edu.in
Alpha, Sector 101, IT City Rd, Sahibzada Ajit Singh Nagar, Punjab 140306
