PGP in Machine Learning & Artificial Intelligence

Fees: ₹ 2,25,000+ 18% GST 41 weeks
Placement opportunities Mentor-led online
Upcoming Batch:
scheduled 17-Mar-25 41 Weeks (Mon, Tue, Thu, Fri) 09:00 AM to 11:00 AM
scheduled 08-Apr-25 41 Weeks (Mon, Tue, Thu, Fri) 08:30 PM to 10:30 PM
scheduled 20-May-25 41 Weeks (Mon, Tue, Thu, Fri) 11:00 AM to 01:00 PM
scheduled 20-May-25 41 Weeks (Mon, Tue, Thu, Fri) 11:00 AM to 01:00 PM

The NIIT advantage

Turning ambitions into achievements
  • Expert-led learning – gain insights from academicians and industry leaders
  • Global recognition – NIIT certifications ensure job readiness from day one
  • Project incubation – elevate projects through individual or group presentations
  • Industry-aligned training – learn through real-world applications
Built in placement assistance
  • ₹ 10 LakhsKickstart your career with salaries up to*
  • 100%Eligible learners placed*
https://elevate.niit.com/india/wp-content/uploads/2024/11/Frame-7.png
  • Data analysis - extract insights from data
  • Machine learning - build predictive models
  • Data visualization - present data visually
  • Time series forecasting - predict future trends
  • Statistical analysis - interpret and validate data
  • Tableau - create interactive dashboards

What you’ll learn

  • Data analytics using Excel
  • Analytics using SQL
  • Introduction to programming using Python
  • Python for data science
  • Advanced programming concepts using Python
  • Exploratory data analysis
  • Exploratory data analysis using Tableau
  • Storytelling using Tableau
  • Statistics & data visualization using Python
  • Applied statistics for machine learning
  • Capstone project 1
  • ML mini project
  • Data modelling using machine learning – part 1
  • Data modelling using machine learning – part 2
  • Time series forecasting
  • Capstone project 2

Our hiring partners

HCLAccentureInfosysTCSOracle63 MoonsFinoculusHexawareHDFCSentienzHays

Am I eligible to apply?

Unlock exciting career opportunities!
  • If you have a minimum of 60% in class X, XII, and graduation, you're eligible to apply.
  • Undergraduates must maintain at least 60% marks until the final year and achieve a minimum 60% aggregate upon graduation.
  • Open to BE/B.Tech, BCA, B.Sc. (Maths, Stats, CS, IT), MCA and M.Sc IT graduates.
  • Explore how profiler and personal interview unlock your path to placement assistance—check our FAQs!

Enroll in just a few easy steps!

  • Fill application

  • Get Screened

  • Pay fees

1. Application
    +91 Get OTP

    Frequently asked questions

    We are here to make your admission journey smooth and simple. Below are the key steps and criteria to ensure you are set up for success:

    • English Proficiency: CEFR mid-A2 or above, with the ability to understand, interpret, and respond effectively in conversations.
    • Aptitude Skills: Logical reasoning, rational thinking, problem-solving, and basic Class X Mathematics to assess analytical abilities.
    • IT Proficiency (Self-Declaration): Familiarity with Microsoft Office, email, and web navigation.
    • Personal Interaction: A friendly conversation with the Program Director and a simple skill test to ensure the program is the right fit for you.

    Once you ensure eligibility criteria, we will guide and support you every step of the way as you embark on this meaningful and rewarding learning journey.

    Refer T&C for more details.

    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 provider (NBFC):

    • The EMI amounts are calculated on the balance Fee + 18% GST.
    • Interest rate is dependent on the applicant's risk profile. The starting EMIs mentioned under payment options on the website are based on starting interest rate for illustration purposes. The Actual EMI may vary based on the approved 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 directly.
    • 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 a 3rd party lender (NBFC) 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 only.
    • It is advised and recommended to go through the loan terms and conditions before availing a loan from the loan provider (NBFC).
    • Any loan cancellation or refund policy will be treated based on standard and respective T&Cs
    • NIIT does not mandate to avail the loan to join the program at NIIT. Availing of loan is completely a personal choice of the applicant.
    • Any loan cancellation, foreclosure, EMI repayment etc., will be governed by the terms & conditions of the loan agreement and the loan provider only.

    •  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/terms-and-conditions

    This program focusses not only on the technical development of the learner, but also on the professional skills which helps to improve the employability quotient of the learner. We offer tailored placement services to help learners succeed in their career journeys. This structured approach ensures learners are well-equipped to meet industry demands and secure promising career opportunities. Below are the categories and their eligibility criteria:

    A. Placement Assistance: Provides up to 3 selection opportunities within 120 days of entering the Placement Bank, along with Career Guidance, Client Briefings, Mock Interviews, and Post-Screening Feedback. The below are requirement for the learners to avail the same.

    • Age: Below 28 years
    • Status of Program Profiler: Cleared (at the time of admission, if applicable)
    • Graduation: Completed (stream and percentage of marks as per program eligibility, if applicable)
    • Program Performance: 70% or higher
    • Placement Preparation Module Performance: Green
    • Refer to T&C for more details

    B. Career Guidance: Offers scheduled sessions during the program, including Guidance on building Digital Portfolios, LinkedIn and Git Profiles, Industry and Alumni Connect Sessions, and Interview FAQs. The below are requirement for the learners to avail the same.

    • Age: No restrictions, open for all enrolled learners
    • Status of Program Profiler: Cleared (at the time of admission, if applicable)
    • Graduation: Completed (stream and percentage of marks as per program eligibility, if applicable), undergraduates can also avail this service
    • Program Performance: Not applicable
    • Refer to T&C for more details

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