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Key Features

Our 3 month intensive online program has been carefully curated keeping in mind the current industry demands. It is to be noted that the lecture are not pre recorded. It’s a live interactive session and live training conducted with one on one mentoring.

Get trained by industry professionals
10+ hands on projects to work on
Opportunity to work on live projects
Certificate post completion of course.
Placement assistance

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Programming language & tools covered

Python, Anaconda, Jupyter Notebook, TensorFlow, Keras, Scikit-Learn, OpenCV

Top skills you will learn

Python, Language modelling, Predictive Analysis and Statistics, Deep learning, CNN, RNN, LSTMs, Computer Vision, Deep Reinforcement Learning.

Job roles capabilities

Data scientist, Data science engineer, Machine learning engineer, Data analyst, Machine earning consultant.


Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.

Download the detailed Syllabus here
Basic Python Python for Data Science Introduction to Data Science Linear Regression Logistic Regression Tree
Unsupervised Learning: Clustering Advanced Linear Regression Support Vector Machine: SVM K-Nearest Neighbour: KNN Classifier Boosting Algorithms Introduction to Deep Learning
Convolutional Neural Network (CNN) with TensorFlow CNN for Computer Vision: Project – 1 K-Nearest Neighbour: KNN Classifier CNN for Computer Vision: Project – 2 Recurring Neural Network: RNN Reinforcement Learning (Q-Learning)


Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.

Rock-Paper-Scissor game with simple python

To get familiar with python as a programming language, we will be using it to develop a simple Rock-Paper-scissor game with simple python coding.

House Price Prediction in Real Estate:

Prediction of house prices based on factors like population, literacy in the area, price per sq. feet, etc. using Machine Learning.

Heart attack Prediction

Solve the problems in traditional Q-learning Algorithm with Deep Q-Networksby using TensorFlow & Keras. In this project we will be building our own Flappy Bird game with python and then build a smarter agent that can beat your High score in Flappy Bird.

Digit detection from Images

Predicting ad click--through rates (CTR) is a massive-scale learning problem that is central to the multi-billion dollar online advertising industry. We will be trying to build Machine Learning model to predict the CTR for an online E-commerce platform.

Course Fees


Payment Options

Google pay or UPI
Phone Pe
Internet Banking

No Cost EMI Option Available

EMI starting as low as 5833*

Amidst this pandemic and economic slowdown, we are striving to ensure everyone is able to avail this course which is why we have introduced a direct 20,000 discount on the whole course fee.




Early bird discount of 20,000 applicable till 20th june


Please read through the following Prerequisites sections before beginning this Course, to ensure you are prepared to complete all the modules

You must be comfortable with variables, linear equations, graphs of functions, histograms, and statistical means.

You should be a good programmer. Ideally, you should have some experience programming in Python because the programming exercises are in Python. However, experienced programmers without Python experience can usually complete the programming exercises anyway.

Algebra Linear Algebra Trigonometry Python Programming Statistics Calculus