Machine Learning Internship

Get on-board this Machine Learning Internship, brought to you in association with Intel, that brings to you a chance to transform your career in just 8-weeks. Machine Learning is one of the fastest growing fields in the world today and a Machine Learning Internship opens hitherto unknown opportunities for the participants.

Duration: 8 weeks Mode: Online

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Overview of Machine Learning Internship

This Machine Learning Internship is a great way for you to start your data science career. It is designed to, both, test your knowledge and to give you the feel and experience of a real-world data science problem. Here is an overview of this 8-week internship.

  • Weekly Assignments: You will receive a series of assignments that incrementally solve a real-world machine learning problem
  • Mentoring: You can reach out to one of our Machine Learning mentors in case you face any difficulty throughout the program
  • Learning Videos: While it is good to struggle a bit and solve a data science problem yourself, we have hours of videos to help you learn the basic concepts of Machine learning with Python
  • Final Interview with Experts: At the end of the 8-weeks, you will have an interview with our team of experts who will test you on the projects that you did during your internship
  • Internship Certificate: At the end of the internship you will receive an internship completion certificate upon passing a video interview with our faculty and an industry experts

Current Machine Learning Opportunities in India

There is a great demand for machine learning professionals both in India and across the world. As per news reports, 50,000+ data science jobs are vacant due to shortage of talent.

  • Lack of Good relevant education: Most universities are lagging in teaching Machine learning and technology subjects. The pedagogy isn’t in-sync with what the industry requires
  • Dearth of Internship Opportunities: There are very few Machine Learning Internship Opportunities out there, resulting in a rapid growth of self-taught and uncertified machine learning professionals
  • Lower levels of fluency in Coding: Most self-taught machine learning individuals learn by only watching videos, resulting in negligible practice of hands-on ML model building

As a result, you end up with an extremely large population of uncertified professionals competing for the high paying machine learning jobs and Machine Learning Projects.

Why this Machine Learning Internship?

This Machine Learning internship will ensure that you get a leg up on the competition in the job market. Here are the reasons why this machine learning internship can bring about a total transformation in your career.

  • Learn things relevant to the industry: This internship gives you a hint of meaningful industry experience while touching upon all the machine learning techniques and algorithms necessary in the industry today.
  • An Internship, not a course: Unlike the courses which are just a compilation of videos, this is an internship that let’s you work on a project, week after week
  • Get confident at coding: Unlike the course where you just watch videos, in this internship you get your hands dirty with coding, each week for your assignments

As a result, you end up with an extremely large population of uncertified professionals competing for the high paying machine learning jobs and Machine Learning Projects.

Programming Language & Tools

You will have to do programming in Python and use machine learning libraries from Scikit-Learn (e.g Pandas, Matplotlib, Seaborn etc). You will implement machine learning algorithms for Regression and Classification.

Eligibility & Application Process


The Machine Learning Internship is meant for students who have a background or are keen to learn a programming language and solve business problems using AI/ML. It is ideal for students of Engineering (any discipline), BCA, MCA. It can also be pursued by BSc , BCom , BA, BBA and MBA. It can be done in any year of graduation.

Application Process

Applying for the machine learning internship is a breeze. Follow the simple steps give below to get started on your machine learning journey.

  • Register yourself on this page by filling the form above
  • Select an internship problem
  • Begin!


Upon successful completion of the Machine Learning Internship, you will receive a certificate from us and our partner Intel.

Intel® is our software and hardware partner for all of our data science programs. Intel® provides several optimized libraries including special distributions of Python, Keras and Tensorflow that make machine learning algorithms fly on Intel® hardware.

Internship - Options

Machine Learning Internship

This is meant for students who already know Python and the Machine Learning fundamentals and are looking only for a industry project to work on. Get real Hands on experience with an actual industry project. Think you have what it takes to handle a machine learning project on your own? Showcase you skills today for free and get recognized!

Enroll for Free!

Machine Learning Internship
with Guidance and Learning

This variants is for students who wish to learn Python and ML fundamentals and then apply it to a real world project that will showcase your skills. Our faculty will provide guidance in the machine learning concepts and execution to rgeatly enhance your learning an skilld.

Enroll Now!


Take a sneak peek into our internship portal now.

Click here to get a temporary login

Dates and Duration of Machine Learning Internship

This is an online Machine Learning internship and starts June 1 and can be completed in 8 weeks or even earlier by students who can move at a faster pace. Since it is an Online internship, this can be started on any later date. It should ideally be done during vacations but we will accept submissions till Aug 3.

List of Modules covered

The modules covered in the Machine Learning Internship can be thought of as Machine Learning Projects with a set objective that the participant has to complete every week. These Machine Learning projects require the participant to study on the relevant topics and practically apply it to solve each problem. Solving these problems will allow the participant to complete the module and move on to the next module and Machine Learning Project.

  • Module 1- Data Exploration Using Pandas
  • Module 2 - Plotting in Financial Markets
  • Module 3 - Regression - Beta Calculation
  • Module 4 - Algo Trading using Classification
  • Module 5 - Modern Portfolio Theory
  • Module 6 - Clustering for Diverse portfolio analysis
  • Module 7 - Internship Report Finalization

Sneak Peek of Module 1

1. Plot the daily volumes of a given stock as well and compare the percentage stem plot to it. Document your analysis of the relationship b/t volume and daily percentage change.

2. Analyse the correlation between daily returns of any 5 stocks of your liking. This is extremely useful for a fund manager to design a diversified portfolio. To know more, check out these resources on correlation and diversification.

3. Plot the appropriate trade calls for the given stock data. Use 21 day and 34 day moving averages to get the appropriate predictions for the calls.

Contact Us

Have questions? Our data science team is more than happy to take them:-

Ayush Joshi -
Mythreya Lingala -