top of page

India's Only Personalized Mentorship Program

Artificial Intelligence

In the world of Computer Science and Artificial Intelligence has taken center stage. It has led to the growth of emerging technologies such as Robotics, Big Data, and IoT. Take a look at our Mentorship program 

Money-Back Guarantee

Live Interactions

Lifelong Access

Live Projects & Sessions


clock (1).png

Start 1st Jan

2 Months


170+ Companies


3,300+ Students


Only 1% of students get placed in dream companies, this program helped me from being completely clueless       

to get practical work exposure.


Kanika, Placed in Microsoft

Course Details

Artificial Intelligence is the ability of machines to seemingly think for themselves. AI is demonstrated when a task, formerly performed by a human and thought of as requiring the ability to learn, reason and solve problems, can now be done by a machine. A prime example is an autonomous vehicle. The vehicle is able to perceive its surroundings and make decisions in order to safely reach its destination with no human intervention.

Program Highlights

Personalized Program

Master your skills from where you are, with India's only personalised program

Dream Company Mentor

Get career guidance, mentorship, time management strategies from industry experts

Practical Projects

The only thing that companies see on your profile is the practical work experience

100+ Hours of Session

Code live and get mentorship with the top-rated coders of the country.


Live Sessions

Lectures by experts to help you understand the concepts easily

live (1).png

Internship Experience

Work on practical projects in organization get industry exposure hands on

Program Contents

Azure Machine Learning

Learn to build ML Models, understand Data & Pre-Processing, and usage of  Classification, Regression,  Azure ML Cheat sheet, Clustering,  Azure Cloud API and relevant Case Studies

Introduction to text analytics

Learn Clean data, understand concepts of word frequency, Stemming, Lemmatization, understand Inverse Document Frequency, Word Embedding, and Case Studies on Sentiment Analysis

Natural Language Processing

Understanding of Text Analysis, Components of NLP and Introduction to NLTK library of Python and spaCy

Introduction to neural networks

Understanding of RNN & LSTM, and Citing real world AI problems

Conversation as a platform