Tech track

AI and ML

Work with real business data: clean it, build a model, and check honestly how well it works.

Placement depends on what each team has open, so pick this track as your first or second choice in the form.

Apply for this track

What you will work on

Three tasks from the kind of work interns do in this track. Yours depend on the team you join.

  1. Clean a messy sales dataset

    Find missing values, duplicates and odd entries, and write down every change so the team can trust the data.

  2. Build a simple prediction model

    Predict something the team cares about, such as which leads are likely to buy, and compare it with a simple baseline.

  3. Test an AI chatbot before it goes live

    Write 50 real customer questions, check the answers against the company documents, and list every answer that is wrong or made up.

What your mentor checks

Your mentor is someone from the team. They review what you submit every week and ask questions like these. [REVIEW: how often]

  • Is your data cleaning written down and repeatable?
  • Did you compare against a simple baseline?
  • Are you honest about where the model is wrong?
  • Could a manager act on your summary?

Skills you will use

You do not need all of these on day one. The training for this track covers the basics, free if you are selected, and you learn the rest on the job.

  • Python and pandas
  • scikit-learn
  • SQL basics
  • Charts in matplotlib or a BI tool
  • Train and test splits
  • Explaining results in plain words
See the trainings

A certificate anyone can check

When you finish, your certificate names this track and your dates. Recruiters can check it online with its ID.

Certificate of internship

Your name

AI and ML track. Work reviewed by a mentor.

Your dates

ID 3SI-26-0000Check at 3sintern.com/verify

Sample certificate

Good to know

Mock interview

Practise with a mentor before your real interviews: 30 to 40 minutes online, then honest feedback. ₹299 on its own, and one is included with every internship. Expect questions like these.

  • What is overfitting, and how do you spot it?
  • How do you split data for training and testing, and why?
  • When would you pick a simple model over a deep learning one?
  • Walk me through a dataset or model you worked with in college.
Book a mock interview

When your internship is over, placement agencies we work with can help with your job search: openings in your field, your resume and applying. It is paid separately.

Questions about this track

Do I need to know deep learning?

No. Most real business problems start with clean data and simple models. You can go further once the basics are solid.

Will I work with real data?

Yes, with company data, under the same privacy rules the team follows. Data never leaves the work tools.

Which degree fits?

Computer science, IT, statistics or maths fit well. Commerce students with strong Excel and an interest in Python can also apply. [REVIEW]

Is there any fee?

Applying is free. If you are selected, the internship fee is ₹2,999, paid in two parts: ₹750 when you join, and the other ₹2,249 at least 30 days before your internship ends. Your acceptance letter shows both before you pay anything. The fee includes one mock interview with a mentor. Fees are not refunded, so read your acceptance letter before you pay. There is no fee for the certificate, and the training for your track is free for interns. If anyone asks you for money before you are selected, or for a certificate, it is not us: do not pay, and tell us.

What if this track has no open seats?

We talk about your second choice. If neither fits, you can take a training and apply again for the next batch.

Still have a question?

Ask us on WhatsApp. A real person replies on working days.

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Other tracks

Compare this track with the others, or take the 1 minute quiz.

Apply for the AI and ML track

About 3 minutes. Free to apply. Pick a second choice too, so we can place you faster.

Apply for this track

Free to apply. Internship fee only if selected.