• blueCal

    Interviews with top companies*

  • bluewatch

    Flexible Study Hours

    40 weeks
  • bluevideo

    Placement Record


Watch our Program Video

Registration Starting Soon

Batch Starting Soon

Program fee(incl. GST)

₹ 265500

See All Plans
*T&C Apply

Watch our Program Video

  • bluecal

    Interviews with top companies*

  • bluewatch

    Flexible Study Hours
    40 weeks

  • bluevideo

    Placement Record

Registration Starting Soon

Batch Starting Soon

Program fee(incl. GST)

₹ 265500

See All Plans
*T&C Apply

Accelerate your Career

Download the brochure to learn more

Our Advantage

ParameterVideo Based ProgramsVirtual Session Based ProgramsStackRoute programs from NIIT
Outcome Driven Learning
Practitioner Designed Assignments
Live Mentor-led Sessions
Overall skill development with >= 60% hands-on activities
Project portfolio in Git
Resume & Interview preparation
Placement Support with Verified Records
Acquire Day 1 Job-Ready Skills with GenAI Edge
Rectangle2013
Y

Job Opportunities

ML specialist, Data scientist and analyst
Y

Top skills you will learn

  • img Work With RDBMS
  • img Learn Data Forecasting
  • img Predictive Modeling, NLP etc.

boxwhitePlacement Assistance*

Highlights

Minimum Eligibility to Join

  • Grad: BE/BTECH/BCA/BSC(PCMS)
  • PG: MCA/MSC IT (Maths/Stats)
  • X, XII, Grad/PG >=60%
img

Placement Eligibility

  • Assistance for all
img
Free

Take the Screening Test

A 2-part screening process to evaluate your aptitude and communication skills.

Not sure? Call our Career Expert1800 3000 3448

Y
Machine Learning Program

Steps to Apply

Follow a simple 3 step process to join the program

Start instantly and you can always save and return
  • Fill Basic Information 10 min • Personal and academic information
  • Complete Screening Process105 min • Aptitude Test + English Fluency Test
  • Proceed to Payment5 min • EMI plans available
Start instantly and you can always save and return

Machine Learning Program in Delhi

Step 1

Profile matching with the right job opening

Step 2

Communication skills to build confidence

Step 3

Complete preparation for aptitude tests

Step 4

Mock interviews with personalised feedback

Step 5

Industry talk and connect

Step 6

Digital Profile and resume building tips

Professional Grooming

Step 1

Profile matching with the right job opening

Step 2

Communication skills to build confidence

Step 3

Complete preparation for aptitude tests

Step 4

Mock interviews with personalised feedback

Step 5

Industry talk and connect

Step 6

Digital Profile and resume building tips

Pedagogy

Y

Certifications

Start instantly and you can always save and return

Become a StackRoute Certified StackRoute Certified Data Scientist (Entry Level) and join the acclaimed NIIT-StackRoute alumni network

Tools

Curriculum

Data Analytics Using Excel

Analytics using SQL

Introduction to Programming using Python

Python for Data Science

Exploratory Data Analysis

Exploratory Data Analysis using Tableau

Story Telling using Tableau

Capstone project 1

Statistics & Data Visualization using Python

Data Modelling using Machine Learning – part 1

Data Modelling using Machine Learning – part 2

ML Mini Project

Time Series Forecasting

Capstone Project 2

Data Analytics Using Excel
Analytics using SQL
Introduction to Programming using Python
Python for Data Science
Exploratory Data Analysis
Exploratory Data Analysis using Tableau
Story Telling using Tableau
Capstone project 1
Statistics & Data Visualization using Python
Data Modelling using Machine Learning – part 1
Data Modelling using Machine Learning – part 2
ML Mini Project
Time Series Forecasting
Capstone Project 2
Y

Features

Mastery Learning

Achieve mastery with our individualized and group-based learning pedagogy

Outcome Oriented

Become day 1 project ready

Practitioner Designed

Get your design and code reviewed by mentors to refactor

Flexible study hours

Choose as per your eligibility criteria

Integrated Problem Solving

Practice tough, real-world problem-solving exercises for deep skilling

Capstone projects

Develop and test a complete non-trivial web application for a pre-defined case study

Mastery Learning

Achieve mastery with our individualized and group-based learning pedagogy

Outcome Oriented

Become day 1 project ready

Practitioner Designed

Get your design and code reviewed by mentors to refactor

Flexible study hours

Choose as per your eligibility criteria

Integrated Problem Solving

Practice tough, real-world problem-solving exercises for deep skilling

Capstone projects

Develop and test a complete non-trivial web application for a pre-defined case study

Y

Payment methods

Program Fees: Rs 2,25,000 + 18% GST payable at the time of booking a seat in the batch

Booking Fees : Rs 22,500 + 18% GST payable on selection confirmation

Balance Fees : Rs 2,02,500 + 18% GST Please pay the balance fee within 7 days from the booking date or within 7 days before the batch start date, whichever is earlier.

Loan Amount Rs 2,38,950 (Balance Fee + 18% GST)

Low Cost Tenure(Months)Emi Amount
12 ₹     20,112
18 ₹     14,022
24 ₹     11,002

 

*Terms and Conditions Apply. Refer FAQs

Program Fees: Rs 2,25,000 + 18% GST payable at the time of booking a seat in the batch

Booking Fees : Rs 22,500 + 18% GST payable on selection confirmation

Balance Fees : Rs 2,02,500 + 18% GST Please pay the balance fee within 7 days from the booking date or within 7 days before the batch start date, whichever is earlier.

Loan Amount Rs 2,38,950 (Balance Fee + 18% GST)

Morat Tenure(Months)Emi Amount (Morat)
11+13 ₹    3,701

*Terms and Conditions Apply. Refer FAQs

Program Fees: Rs 2,25,000 + 18% GST payable at the time of booking a seat in the batch

Booking Fees : Rs 22,500 + 18% GST payable on selection confirmation

Balance Fees : Rs 2,02,500 + 18% GST Please pay the balance fee within 7 days from the booking date or within 7 days before the batch start date, whichever is earlier.

Zero Cost TenureEmi Amount
11 ₹     21,723

*Terms and Conditions Apply. Refer FAQs

Program Fee: Rs 2,25,000 + 18% GST Payable 7 days prior to the start of the batch

 

*Terms and Conditions Apply. Refer FAQs

Start instantly and you can always save and return

Program Fees: Rs 2,25,000 + 18% GST payable at the time of booking a seat in the batch

Booking Fees : Rs 22,500 + 18% GST payable on selection confirmation

Balance Fees : Rs 2,02,500 + 18% GST Please pay the balance fee within 7 days from the booking date or within 7 days before the batch start date, whichever is earlier.

Loan Amount Rs 2,38,950 (Balance Fee + 18% GST)

Low Cost Tenure(Months)Emi Amount
12 ₹     20,112
18 ₹     14,022
24 ₹     11,002

 

*Terms and Conditions Apply. Refer FAQs

Program Fees: Rs 2,25,000 + 18% GST payable at the time of booking a seat in the batch

Booking Fees : Rs 22,500 + 18% GST payable on selection confirmation

Balance Fees : Rs 2,02,500 + 18% GST Please pay the balance fee within 7 days from the booking date or within 7 days before the batch start date, whichever is earlier.

Loan Amount Rs 2,38,950 (Balance Fee + 18% GST)

Morat Tenure(Months)Emi Amount (Morat)
11+13 ₹    3,701

*Terms and Conditions Apply. Refer FAQs

Program Fees: Rs 2,25,000 + 18% GST payable at the time of booking a seat in the batch

Booking Fees : Rs 22,500 + 18% GST payable on selection confirmation

Balance Fees : Rs 2,02,500 + 18% GST Please pay the balance fee within 7 days from the booking date or within 7 days before the batch start date, whichever is earlier.

Zero Cost TenureEmi Amount
11 ₹     21,723

*Terms and Conditions Apply. Refer FAQs

Program Fee: Rs 2,25,000 + 18% GST Payable 7 days prior to the start of the batch

 

*Terms and Conditions Apply. Refer FAQs

Call toll free number for help
1800 3000 6448

Start instantly and you can always save and return
Y

Frequently Asked Questions

We believe that our machine learning training in Delhi will provide you with an advantage in the current machine learning employment market. You'll be equipped for success in the machine learning job market thanks to thorough placement help and a curriculum tailored to the needs of companies.

Due to the city's flourishing technology economy, which includes numerous startups and established organisations in need of competent employees in machine learning, machine learning is thriving in Delhi. Students from all across India flock to Delhi's prestigious educational institutions because of the city's abundance of in-depth machine learning programmes. Delhi's strategic location and plenty of available work possibilities attract many skilled machine learning experts.

There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. In supervised learning, an algorithm is trained to make predictions by being subjected to an increasing amount of labelled data. Training a computer to recognise data patterns and structures without the use of labels is known as unsupervised learning. Through the process of doing the job itself and learning from its own successes and mistakes, software might potentially acquire the abilities required to carry it out via reinforcement learning.

Minimum Eligibility to Join

  • Grad: BE/BTECH/BCA/BSC(PCMS)
  • PG: MCA/MSC IT (Maths/Stats)
  • X, XII, Grad/PG >=60%

*T&C Apply

This program is designed to build the core competencies i.e., the knowledge and skills required to perform the tasks required for the ML Engineer job role at an entry level. As part of the learning journey, learners build the right attitude that sets them up for seamlessly transitioning to this role, as well as making them aware of some of the best practices that professionals are expected to adopt. The tough challenges that they encounter as part of the program and the capstone project help accelerate their experience. As part of our holistic approach to making them job-ready we ensure that learners are equipped, not just with technical competencies, but also the complementary engineering & professional competencies.

  • Data Analytics Using Excel
  • Analytics using SQL
  • Introduction to Programming using Python
  • Python for Data Science
  • Exploratory Data Analysis
  • Exploratory Data Analysis using Tableau
  • Story Telling using Tableau
  • Capstone project 1
  • Statistics & Data Visualization using Python
  • Data Modelling using Machine Learning – part 1
  • Data Modelling using Machine Learning – part 2
  • ML Mini Project
  • Time Series Forecasting
  • Capstone Project 2

You will be equipped with the deeper skills and competencies to embark on an ML Engineer job role at an entry level. You will also be eligible for the career preparation and services pertaining to the entry-level ML Engineer job role*.

*The roles may vary from organization to organization. NIIT has no binding on the nomenclature of the roles mentioned.

The following points need to be kept in mind before availing of a loan through the Finance Partner:

  • The EMI amounts are calculated on the balance Fee + 18% GST.
  • Interest rate is dependent on the customer’s risk profile. The starting EMIs shown are based on starting interest rate for illustration purposes. The Actual EMI may vary based on the Interest Rate & will be at the sole discretion of the lender.
  • An additional processing fee of 1% of the loan amount + 18% GST is to be paid to the lender post-loan approval.
  • Loan approval will be subject to the applicant’s eligibility as determined by the lender.
  • After availing of the loan, the candidate has to pay EMIs to the 3rd party lender.
  • The loan agreement is between the Applicant and the lender, and the applicants are informed to fully understand the terms and conditions applicable before availing of the loan.
  • The loan facility is provided by NIIT through a 3rd party lender in the best interest of the applicant. NIIT has no further role in the Loan process. Any dispute related to the loan is to be taken up with the lender
  • It is advised and recommended to go through the loan terms and conditions before availing a loan from NIIT’s attached loan partners.
  • Any loan cancellation or refund policy will be treated based on standard and respective T&Cs

• If the applicant is below 21 years of age then they need to apply for the loan along with a co-applicant that is at least 21 years of age

• Minimum documentation to apply for a loan are -->

• PAN Card,

• Aadhar Card (Front + Back),

• 6 months’ income showing Bank statement,

• Recent 3 months’ salary slips for working professional and Business registration proof/Recent ITR for self-employed individuals or businessman

• In absence of complete or required documentation, the loan application may be rejected by the loan partner. The loan application acceptance and rejection are at the sole discretion of the attached lenders.

• Additional documents may be requested and are subject to the applicant's profile and eligibility fitment

• In case you are unable to provide the documents listed above, please reach out to your Program Advisor to discuss other possible alternatives.

You can read the complete set of Terms and Conditions for this program at https://www.niit.com/india/term-and-condition/PDDST..

Did not find what you were looking for? Ask a Career Expert ?

Frequently asked Questions

We believe that our machine learning training in Delhi will provide you with an advantage in the current machine learning employment market. You'll be equipped for success in the machine learning job market thanks to thorough placement help and a curriculum tailored to the needs of companies.

Learn more.

Due to the city's flourishing technology economy, which includes numerous startups and established organisations in need of competent employees in machine learning, machine learning is thriving in Delhi. Students from all across India flock to Delhi's prestigious educational institutions because of the city's abundance of in-depth machine learning programmes. Delhi's strategic location and plenty of available work possibilities attract many skilled machine learning experts.

Learn more.

There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. In supervised learning, an algorithm is trained to make predictions by being subjected to an increasing amount of labelled data. Training a computer to recognise data patterns and structures without the use of labels is known as unsupervised learning. Through the process of doing the job itself and learning from its own successes and mistakes, software might potentially acquire the abilities required to carry it out via reinforcement learning.

Learn more.

Minimum Eligibility to Join

  • Grad: BE/BTECH/BCA/BSC(PCMS)
  • PG: MCA/MSC IT (Maths/Stats)
  • X, XII, Grad/PG >=60%

*T&C Apply

Learn more.

This program is designed to build the core competencies i.e., the knowledge and skills required to perform the tasks required for the ML Engineer job role at an entry level. As part of the learning journey, learners build the right attitude that sets them up for seamlessly transitioning to this role, as well as making them aware of some of the best practices that professionals are expected to adopt. The tough challenges that they encounter as part of the program and the capstone project help accelerate their experience. As part of our holistic approach to making them job-ready we ensure that learners are equipped, not just with technical competencies, but also the complementary engineering & professional competencies.

Learn more.

  • Data Analytics Using Excel
  • Analytics using SQL
  • Introduction to Programming using Python
  • Python for Data Science
  • Exploratory Data Analysis
  • Exploratory Data Analysis using Tableau
  • Story Telling using Tableau
  • Capstone project 1
  • Statistics & Data Visualization using Python
  • Data Modelling using Machine Learning – part 1
  • Data Modelling using Machine Learning – part 2
  • ML Mini Project
  • Time Series Forecasting
  • Capstone Project 2
Learn more.

You will be equipped with the deeper skills and competencies to embark on an ML Engineer job role at an entry level. You will also be eligible for the career preparation and services pertaining to the entry-level ML Engineer job role*.

*The roles may vary from organization to organization. NIIT has no binding on the nomenclature of the roles mentioned.

Learn more.

The following points need to be kept in mind before availing of a loan through the Finance Partner:

  • The EMI amounts are calculated on the balance Fee + 18% GST.
  • Interest rate is dependent on the customer’s risk profile. The starting EMIs shown are based on starting interest rate for illustration purposes. The Actual EMI may vary based on the Interest Rate & will be at the sole discretion of the lender.
  • An additional processing fee of 1% of the loan amount + 18% GST is to be paid to the lender post-loan approval.
  • Loan approval will be subject to the applicant’s eligibility as determined by the lender.
  • After availing of the loan, the candidate has to pay EMIs to the 3rd party lender.
  • The loan agreement is between the Applicant and the lender, and the applicants are informed to fully understand the terms and conditions applicable before availing of the loan.
  • The loan facility is provided by NIIT through a 3rd party lender in the best interest of the applicant. NIIT has no further role in the Loan process. Any dispute related to the loan is to be taken up with the lender
  • It is advised and recommended to go through the loan terms and conditions before availing a loan from NIIT’s attached loan partners.
  • Any loan cancellation or refund policy will be treated based on standard and respective T&Cs
Learn more.

• If the applicant is below 21 years of age then they need to apply for the loan along with a co-applicant that is at least 21 years of age

• Minimum documentation to apply for a loan are -->

• PAN Card,

• Aadhar Card (Front + Back),

• 6 months’ income showing Bank statement,

• Recent 3 months’ salary slips for working professional and Business registration proof/Recent ITR for self-employed individuals or businessman

• In absence of complete or required documentation, the loan application may be rejected by the loan partner. The loan application acceptance and rejection are at the sole discretion of the attached lenders.

• Additional documents may be requested and are subject to the applicant's profile and eligibility fitment

• In case you are unable to provide the documents listed above, please reach out to your Program Advisor to discuss other possible alternatives.

Learn more.

You can read the complete set of Terms and Conditions for this program at https://www.niit.com/india/term-and-condition/PDDST..

Learn more.

Did not find what you were looking for? Ask a Career Expert ?

Top