Skip to content
Career·4 min read

How to Train in AI: Join Samsung’s Campus and Start Working

Learn how to train in ai with Samsung’s Innovation Campus in Karnataka, its hands-on curriculum, hiring pipeline, and steps to join the growing AI workforce.

Mature teacher interacting with diverse students using laptops in a spacious lecture hall setting.
Photo by Yan Krukau on Pexels

On September 19, 2026, CNBC TV18 reported that Samsung opened its Innovation Campus in Karnataka. They enrolled 2,000 youth to learn AI. It is part of Samsung’s 2026 upskilling push across India. The program is a full-time, 12-month track. It blends classroom instruction with real-world projects. Students graduate with certificates that Samsung says its global R&D units recognize.

If you want to know how to train in ai, this campus offers a clear path. The curriculum uses the exact tools Samsung runs in its products. Training is completely hands-on. Learners build models that run directly on Samsung’s Exynos AI chips. That experience leads to jobs needing production-ready skills.

Economic Times added that the program includes a guaranteed interview pipeline with Samsung’s AI divisions and partner firms. Placement support covers resume workshops, mock interviews, and direct referrals. Graduates from the first batch already reported offers from Samsung’s Bengaluru lab and several Indian startups. The campus acts as both a learning hub and a hiring funnel.

The curriculum blends core AI theory with hands-on projects

Modules start with fundamentals like linear algebra, probability, and Python programming. Students then move to supervised learning, deep learning, and model evaluation. Labs run on cloud GPU instances provided by Samsung to reinforce each concept. This step-by-step approach keeps newcomers from feeling overwhelmed.

Midway through the year, learners switch to Samsung’s hardware platforms. They train image-recognition models on Exynos AI chips. This mirrors the daily workflow of Samsung’s smartphone teams. Exposure to edge-device training is rare in generic online courses. It gives students a portfolio piece that proves they can optimize models for limited resources.

The final quarter is a capstone project where teams solve a real business problem. Past projects included a predictive maintenance system for manufacturing equipment. Teams also built a recommendation engine for e-commerce. Mentors from Samsung and partner companies review the solutions. They award the best projects to fast-track hiring. Graduates get a solid showcase to present to any AI employer.

Hiring partners are already scouting campus graduates

Samsung states that its partner ecosystem includes Indian tech firms, global R&D centers, and AI-focused startups. Partners attend campus demo days. They interview top performers on the spot. Companies save months of interview cycles because the program aligns with industry needs. The direct hiring pipeline attracts applicants from non-traditional computer science backgrounds.

Early alumni accepted roles as AI model engineers, data pipeline developers, and AI product interns. One graduate said hands-on chip training gave him confidence to negotiate a senior-level salary. Campus placement data shows average salaries are 12% above entry-level AI positions in Bangalore. That premium reflects the scarcity of engineers who can move models from cloud to edge.

Geographic concentration is the main downside right now. The campus serves only Karnataka. Candidates from other states must relocate or wait for future cohorts in Delhi or Hyderabad. If relocation is impossible, the curriculum is available online. However, the placement guarantee does not apply to online students. Weigh the move against the potential salary boost before you apply.

How you can join the program or similar tracks

Eligibility requires Indian citizenship, age between 18 and 25, and basic proficiency in Python. A high school diploma is enough. The campus fills your advanced AI gaps. You must demonstrate English communication skills, since instruction and assessments are in English. The application window for the next cohort opens on October 1. It closes after 5,000 submissions.

Selection has three stages. You take an online aptitude test, a technical interview, and a final motivation interview. The aptitude test covers logical reasoning and basic coding instead of deep AI knowledge. The technical interview checks your ability to write simple scripts and understand data structures. The motivation interview lets you explain why AI matters to your career.

If you decide to apply, follow these exact steps:

Submit the online application on Samsung’s portal

Complete the AI fundamentals aptitude test

Attend the virtual technical interview

Pass the motivation interview and receive your enrollment offer

What you should do next

Update your résumé to highlight any Python projects, Kaggle notebooks, or data-analysis work. Even a small portfolio shows reviewers you are serious. If you lack projects, begin a simple image-classification tutorial on Google Colab this week. Consistent practice makes the aptitude test feel familiar to you.

Join local AI meetups or online communities focused on Samsung’s ecosystem while you wait. Networking with current students gives you insider tips on the interview format. Many alumni share their capstone code on GitHub. You can study their code for inspiration. These connections often turn into referrals that smooth your hiring process.

Set a reminder to check Samsung’s website for the October 1 opening. Mark the date on your calendar. Gather your required documents today. Allocate a quiet hour for your test. If you miss this round, the next cohort arrives in early 2027. You will have extra time to build your skills. Act now, and you could join the next wave of engineers entering Samsung’s expanding AI labs.

Know someone who'd find this useful?

Wondering about your own job?

The calculator takes about two minutes and shows which parts of your situation matter most. Or see which skills are paying more this year.