Machine Learning Program in Chennai

Enroll in our machine learning course in Chennai to improve your employability in the machine learning industry. We provide comprehensive placement services and teach all the skills and information sought by potential employers in our course.

Healthcare, banking, and e-commerce are just a few of the many sectors where data scientists and machine learning experts are in high demand, driving the city of Chennai's thriving machine learning industry. Because of its growing technological sector, Chennai has emerged as a major centre for machine learning education and training because of its abundance of qualified instructors, cutting-edge facilities, and strong partnerships with local businesses. In addition, the cost of living is lower in this city than in many other large metropolitan regions, making it an appealing place to live for both students and working professionals.

Machine learning may be broken down into three broad classes: supervised learning, unsupervised learning, and reinforcement learning. In supervised learning, an algorithm is taught to make predictions by being exposed to an increasing amount of labelled data. Teaching a computer to recognise patterns and structures in data without the use of labels is known as unsupervised learning. With reinforcement learning, a programme may learn the abilities it needs to do a certain job by doing the job itself and gaining knowledge from its own successes and mistakes.

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..