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L3AI track

Machine Learning & Data Science

From messy spreadsheets to a model someone can use, with the statistics to back it.

Apply for this trackSee fees
Duration
4 to 12 weeks
Modes
Online · Hybrid · In-office
Credits
2 to 4 (college decides)
Fees
₹1,999 – ₹29,999
Overview

What this track is about

This is the classic ML track, taught the way teams actually work: clean the data, pick a baseline, prove the model beats it, and put it behind an API. You'll spend as much time on data quality and evaluation as on algorithms, because that's where most real projects go wrong.

Who it's for

  • Students from any engineering branch comfortable with maths
  • MBA and BSc students moving into analytics
  • Freshers preparing for data analyst and ML roles

You should know

  • School-level statistics
  • Basic Python (we cover the rest in week 1)
Curriculum

Four phases, one system

Shown for the 12-week plans. The 4 and 8-week plans cover the first phases in less depth and finish with a smaller project.

Tools you'll use

  • Python
  • Pandas
  • SQL
  • scikit-learn
  • XGBoost
  • Streamlit
  • FastAPI
  • MLflow
  1. 01

    Data

    Weeks 1–3
    • Pandas and SQL for analysis
    • Cleaning and feature engineering
    • Exploratory analysis and charts
    • Framing a business question
  2. 02

    Models

    Weeks 4–6
    • Regression and classification
    • Trees, ensembles and boosting
    • Cross-validation and baselines
    • Handling imbalance
  3. 03

    Evaluation

    Weeks 7–9
    • Choosing the right metric
    • Error analysis
    • Bias and fairness checks
    • Explaining predictions
  4. 04

    Deployment

    Weeks 10–12
    • Model APIs with FastAPI
    • Dashboards with Streamlit
    • Monitoring for drift
    • Final presentation
Partner projects

The kind of work you'll ship

Example briefs. Your actual project depends on the partner company assigned to your cohort.

PROJECT 01

Customer churn predictor

Predicts which subscribers are likely to cancel and explains the top reasons for each, for a partner's retention team.

PROJECT 02

Demand forecasting

Forecasts weekly stock needs for a retail partner and measures error against their current method.

What you walk away with

  • A deployed model with an API and dashboard
  • A written evaluation against a baseline
  • A clean, documented notebook for your portfolio
  • SQL and Pandas skills tested on real data

Roles this prepares you for

  • Data Analyst
  • ML Engineer (Junior)
  • Data Scientist Intern
  • Business Analyst

We prepare you for these roles and refer strong performers to open positions at partner companies. We don't guarantee a job.

Fees

Plans for ML & Data Science

Every plan includes the partner project and QR-verified certificates. Prices include GST.

Online

Starter

₹1,999
Incl. GST · one-time fee
Weeks
4
Hours
60
Credits
2

Best for: Students who want a first AI project and a verified internship certificate

  • Recorded lessons with weekly assignments
  • 2 live mentor sessions a week
  • 1 guided project from a partner company brief
  • Offer letter, activity logbook and weekly report templates
  • Training certificate + internship certificate with QR verification
  • Student community and doubt support on WhatsApp
Enrol for ₹1,999Talk to a counsellor first
Online

Professional

Fits a 4.1 semester
₹3,499
Incl. GST · one-time fee
Weeks
8
Hours
90
Credits
3

Best for: 4.1 students who need credits while attending college

  • Everything in Starter
  • Live cohort classes, 3 evenings a week
  • 2 projects, one on a partner company problem statement
  • Code review on every project submission
  • Fortnightly progress report signed by your mentor
  • Resume and LinkedIn profile review
Enrol for ₹3,499Talk to a counsellor first
Online

Industry

Maximum credits online
₹4,999
Incl. GST · one-time fee
Weeks
12
Hours
120
Credits
4

Best for: Students and job seekers who want a portfolio-grade AI system

  • Everything in Professional
  • Live partner project with a named reviewer from the company
  • 1:1 mentor review every fortnight
  • Architecture review and viva-voce preparation
  • 2 mock technical interviews
  • Letter of recommendation for top performers
  • Referrals to open roles at partner companies
Enrol for ₹4,999Talk to a counsellor first
FAQ

ML & Data Science: common questions

Do I need prior AI experience for ML & Data Science?

No. You need: school-level statistics; basic python (we cover the rest in week 1). The first phase covers the foundations, and mentors help anyone who falls behind.

Is the curriculum the same online and offline?

Yes. The syllabus and certificates are the same. Offline plans add office days with in-person reviews, team projects with partner engineers and more hands-on hours.

Which partner company will I work with?

It depends on the project brief that fits your level and interests. The company is named on your offer letter before the project phase starts.

What if I miss a live class?

Every live class is recorded. You need 80% attendance across live and office sessions to receive the certificate, and you can switch to a later cohort once for free.

Next step

Talk to a ML & Data Science mentor

Tell us where you are in college and what you want to build. A counsellor calls you within one working day. No sales pressure: if a plan doesn't fit, we'll say so.

  • We check which plan fits your semester and college's credit rules
  • You get the syllabus, schedule and fee details on WhatsApp
  • You decide. Paying happens only when you're ready
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