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Offline · Kolkata Weekends only 3 Months Only 15 seats

Machine Learning Course in Kolkata

AI Launchpad: Machine Learning Bootcamp

Go from Python basics to your first deployed machine learning model. A 3-month offline Machine Learning course in Kolkata with weekend classes - built for college students and working professionals.

  • 60 hours · 24 Saturday & Sunday classes
  • 5 hands-on projects incl. capstone
  • Doubt-solving sessions & mentorship
  • Certificate & internship opportunity
Duration3 Months · 60 Hours
ModeOffline · Kolkata
ScheduleSaturday & Sunday
Starts5 December 2026
LevelBeginner
CertificateYes, on completion

Registration deadline: registrations close as soon as all 15 seats are filled. The batch begins on the first weekend of December: Sat 5 – Sun 6 December 2026.

Book Seat

Program overview

About the Machine Learning Course

AI Launchpad: Machine Learning Bootcamp is a 3-month, offline, weekend machine learning course in Kolkata for beginners who want a strong, practical foundation in Python, data analysis and machine learning. In 60 hours of classroom training you learn to clean and explore real data, build and evaluate machine learning models with scikit-learn, and deploy a simple ML web app.

The syllabus is deliberately focused: instead of rushing through every buzzword, we cover the core skills properly, with lab work every weekend, and finish with an introduction to neural networks and Generative AI so you know exactly what to learn next. You leave with a GitHub portfolio of projects and a clear roadmap toward data and ML roles.

Prerequisites: No prior coding experience needed. Basic school-level maths is enough. Python and the required statistics are taught from scratch.

Who can enroll?

  • College studentsB.Tech, BCA, B.Sc, BBA, MCA, MBA and any other stream
  • Working professionalsUpskill on weekends without taking a break from your job
  • Career switchers & graduatesStart a new career in tech with guided, hands-on learning
  • Freelancers & business ownersBuild skills you can apply to clients and your own business

What you will master

Python from zero

Python programming taught from first principles, no coding background needed.

Data analysis

Clean, explore and visualise real datasets with NumPy, Pandas and Seaborn.

Core ML algorithms

Regression, classification, decision trees, random forest and clustering.

Model evaluation

Train/test split, cross-validation and the right metrics for each problem.

Deploy an ML app

Turn a trained model into a simple web app with Streamlit.

Intro to Deep Learning & GenAI

Understand neural networks and LLMs, and plan your learning path beyond.

Learners collaborating with a mentor during a hands-on training session

Included with every enrollment

Program Perks

Learning doesn't stop when the weekend class ends.

Doubt-solving sessionsDedicated sessions to clear your doubts on concepts, code and assignments.
Student community accessJoin the HSR learner community to discuss, share resources and network with peers.
Mentorship & career guidancePersonal guidance on projects and your learning path, plus resume, LinkedIn and interview tips.
Weekday online supportFacing an issue or missed a class? Online classes are arranged on weekdays as required.
Certificate of CompletionAwarded on completing the program and your capstone project.
Internship opportunityTop performers get the chance to intern with HSR Hi-Tech Solutions on live client projects.

Detailed curriculum

Machine Learning Course Syllabus - 12 Weeks

60 hours of classroom training · each week has 2 offline classes (Saturday + Sunday, ~2.5 hours each) with concepts, live demos and hands-on practice.

  • Installing Python, Jupyter Notebook and VS Code
  • Variables, data types, operators and input/output
  • Conditionals and loops
  • Practice: small logic-building exercises

  • Lists, tuples, sets and dictionaries
  • Writing functions and using modules
  • Reading and writing files
  • Practice: mini command-line program

  • NumPy arrays and basic operations
  • Pandas Series and DataFrames
  • Loading CSV / Excel data
  • Selecting, filtering and sorting data

  • Handling missing values and duplicates
  • Grouping and aggregating data
  • Charts with Matplotlib and Seaborn
  • Mini project: exploratory data analysis (EDA) of a public dataset

  • Mean, median, variance and distributions
  • Correlation and reading data patterns
  • What machine learning is: features, labels, training and testing
  • Overfitting vs underfitting (intuitive)

  • Linear regression with scikit-learn
  • Multiple regression and feature scaling
  • Evaluation: MAE, RMSE and R²
  • Project 1: House Price Prediction

  • Logistic regression
  • K-Nearest Neighbours
  • Confusion matrix, accuracy, precision and recall
  • Practice: classifying a real dataset

  • Decision trees and how they split data
  • Random forest
  • Cross-validation and basic hyperparameter tuning
  • Project 2: Customer Churn Prediction

  • K-Means clustering
  • Encoding categorical data and scaling features
  • Choosing useful features
  • Project 3: Customer Segmentation

  • How a neural network learns (conceptual)
  • Building a simple neural network with Keras
  • What Large Language Models (LLMs) are and how they are used
  • Using AI assistants responsibly as a coding helper

  • Saving and loading trained models
  • Building a simple ML web app with Streamlit
  • Git and GitHub basics
  • Publishing your projects to GitHub

  • Capstone: end-to-end ML project on a dataset of your choice
  • Capstone presentation and mentor feedback
  • Resume and LinkedIn tips for data / ML roles
  • Next-step learning roadmap (deep learning, NLP, MLOps)

Tools & technologies

Python Jupyter VS Code NumPy Pandas Matplotlib Seaborn scikit-learn Keras (intro) Streamlit Git & GitHub

Program roadmap

  1. Month 1Python Basics → Data Cleaning & Visualisation
  2. Month 2Statistics Essentials & How ML Works → Decision Trees & Random Forest
  3. Month 3Unsupervised Learning & Feature Engineering → Capstone

Learn by building

Projects You Will Build

01

EDA of a Public Dataset

Clean, analyse and visualise a real dataset and present your findings.

02

House Price Prediction

Regression model that estimates property prices from their features.

03

Customer Churn Prediction

Classification model that flags customers likely to leave a service.

04

Customer Segmentation

Clustering customers into groups for targeted marketing.

05

Capstone: ML Web App

Your own end-to-end ML project, deployed as a Streamlit app.

Career roles this program prepares you for

Data Analyst (entry level) ML / Data Science Intern Junior Python Developer Business / MIS Analyst

Simple, affordable pricing

Course Fee & EMI Options

Standard course fee ₹14,999. Special launch offer for the December batch.

Best value

Pay in Full

₹14,999 ₹4,999*

One-time payment for the complete 3-month program · Save 67%

  • 60 hours · all 24 weekend classes
  • Doubt-solving sessions & mentorship
  • Student community access
  • Projects, capstone & certificate
  • Internship opportunity for top performers
Enroll - Pay in Full
Flexible

Monthly EMI

₹1,999*/month

3 monthly instalments (total ₹5,997)

  • Same complete program & all perks
  • Pay the 1st instalment to confirm your seat
  • Remaining instalments monthly
  • Invoice shared after every payment
Enroll - Monthly EMI

*Offer fee applicable to the December 2026 weekend batch and subject to seat availability. Our team will share payment details personally, and an invoice is issued after each payment.

How enrollment works

  1. 1Fill the enrollment form

    Choose your course and payment plan below.

  2. 2Our team contacts you

    We call / WhatsApp you personally and share payment details.

  3. 3Make the payment

    Pay the full fee or your first EMI instalment.

  4. 4Get invoice & seat confirmed

    We share your invoice and confirm your seat in the batch.

Learn where real work happens

Train at Our Kolkata Office

Classes are held at our working IT office, not a coaching classroom. Learning alongside a real software and digital team helps bridge the gap between your college curriculum and what the industry actually expects.

HSR Hi-Tech Solutions

804, SIDCO Global Tower, CN Block, Sector V, Bidhannagar, Kolkata, West Bengal 700091
  • Classes every Saturday & Sunday
  • Weekday online classes arranged if you face any issue
  • Located in Sector V, Salt Lake, Kolkata's IT hub
  • Bring your own laptop
  • +91 91025 38091
Get Directions

Only 15 seats per batch

Reserve Your Seat

Batch starts Sat 5 – Sun 6 December 2026 · Registration closes once all seats are filled

Enrollment Form

Submit your details and our team will contact you personally, share payment details and send your invoice after payment.

Payment plan*

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Quick Enquiry

Questions about the syllabus, schedule or EMI? Ask us and we usually reply within a few hours.

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Got questions?

Machine Learning Course - FAQs

No. We start from Python basics and cover the statistics you need for machine learning in an intuitive, practical way. Basic school-level maths is enough.

The core of the 60-hour program is Python, data analysis and classical machine learning, taught properly with projects. Week 10 gives you a hands-on introduction to neural networks with Keras and an overview of LLMs / Generative AI, so you have a clear foundation for advanced study.

The next batch starts on the first weekend of December: Saturday, 5 December 2026. Registration closes as soon as all 15 seats are filled, so we recommend enrolling early to secure your seat.

All classes of the AI Launchpad: Machine Learning Bootcamp are conducted offline (in-person) on weekends only (Saturdays and Sundays) at our working office: HSR Hi-Tech Solutions, 804, SIDCO Global Tower, CN Block, Sector V, Bidhannagar, Kolkata, West Bengal 700091. Learning inside a real IT company helps bridge the gap between college curriculum and industry requirements.

If a student faces any issue, such as a missed class, a difficult topic or a scheduling problem, we arrange additional online classes on weekdays as per the requirement, so nobody is left behind.

The program has 60 hours of instructor-led classroom training: 24 weekend sessions of about 2.5 hours each over 3 months, plus weekly practice assignments you complete at home.

Yes. The program is designed so that college students, fresh graduates, working professionals, freelancers and career switchers can all attend. Because classes run only on weekends, you can continue your college or job during the week.

The standard course fee is ₹14,999, but for the current batch it is available at a special offer fee of ₹4,999* for the complete 3-month program. You can also choose a monthly EMI of ₹1,999* per month for 3 months. Select your preferred payment plan in the enrollment form and our team will share the payment details with you.

Each batch is strictly limited to 15 seats so that every learner gets personal attention from the trainer. Seats are confirmed on a first-come, first-served basis after fee payment.

Fill in the enrollment form on this page. Our team will contact you personally on call or WhatsApp, explain the batch schedule and share the payment details. Once your payment (full fee or first EMI) is received, we share the invoice with you and your seat is confirmed.

Yes. Top-performing students get the opportunity to intern with HSR Hi-Tech Solutions and work on live client projects, which is a strong addition to your resume and portfolio.

Yes. On completing the program, the attendance requirement and the capstone project, you receive a Certificate of Completion from HSR Hi-Tech Solutions for the AI Launchpad: Machine Learning Bootcamp.

Yes, please bring your own laptop (Windows, macOS or Linux, minimum 8 GB RAM recommended) to every session. We help you install all required software in the first class.
₹4,999* ₹14,999 or ₹1,999/mo · 15 seats
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