MLBoot // Fall 2026

Closing Soon

Build.
Train.
Deploy.

Stop watching Machine Learning tutorials.

Build a production-grade ML project in three evenings.

Build real-world machine learning systems with production workflows, industry practices, and a portfolio-worthy capstone project.

200 seats • Live online • Beginner friendly

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Bootcamp

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Registration Fee

180

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Overview

A weekend that ends with a working system, not a certificate.

200 seats • 3 days • Live online

MLBoot // Fall 2026 is a hands-on bootcamp for people who already know the basics and want to build something real: a trained model behind a live API, deployed and monitored like production software.

01

Ship, don't just learn

Every session ends with something committed to a repo, not a slide deck. You leave with a project you can put on your resume.

02

Small cohort, real feedback

Capped at 200 seats so mentors can actually look at your code, not just your questions in a chat window.

03

Production habits from day one

Data validation, versioning, and a deployed endpoint. The parts tutorials skip and interviews ask about.

Limited seats available
Secure your spot

Timeline

Three evenings, one working pipeline.

Day 1Sept 6

Data & Foundations

  • Problem framing and dataset audit
  • Cleaning, splitting, and versioning your data
  • Baseline model — the number everything else has to beat
Day 2Sept 7

Modeling & Evaluation

  • Feature engineering that actually moves the metric
  • Training, tuning, and honest evaluation
  • Packaging the model as a callable artifact
Day 3Sept 8

Deploy & Demo

  • Wrapping the model behind a live API
  • Basic monitoring — knowing when it breaks
  • Live demos and project critique

Projects

Choose your domain.

The same machine learning workflow can solve very different problems. Choose the domain closest to your field and see what you can build.

What You'll Build

01

CERN Particle Event Classification

Work with real particle collision data. Build a classification pipeline and evaluate the model.

ClassificationScientific ComputingData Processing

02

NASA Space Data Analysis

Analyse a real scientific dataset from NASA. Build a model that extracts useful patterns from the data.

Data AnalysisPattern RecognitionScientific Computing

03

Computer Vision for Scientific Data

Build an image-based classification system. Take it from raw data through training and inference.

Computer VisionImage ClassificationInference

Registration

Reserve Your Seat

Complete your registration to secure your seat in MLBoot // Fall 2026.

Registration Fee

₹180

Seats Remaining

200 Max

✓ Secure Payment✓ Registration ID Issued✓ Instant Confirmation
Terminal FAQ

Questions, answered.

Watch the terminal type out everything you need to know.

faq — zsh
$ ./ask --questions

Typing... • Press + R to restart

Still have questions? Reach out to support

MLBoot // Fall 2026

Seats close on 30 Aug.

200 seats, ₹180 to reserve yours. No refunds on tutorials watched afterward.

Reserve Your Seat →