Starts Nov 5

Machine Learning and AI

In this 16 week program, You can learn fundamentals of machine learning and data science with a deeper dive into AI, NLP and other industry in-demand technologies.

We specially crafted this course by adding basics of statistics, python for absolute beginners.



Live Classes


Next Batch

Nov 5


Full Tuition



Batch Size

20 Peers


In this program you will start with programming in Python and hands on learning approach to fundamentals of ML, classification, regression models, SVMs, PCA and smoothly dive into era of deep learning with basics of neural network and well crafted project such as NLP, YOLO especially for the purpose of teaching, training and deploying models. You will learn to develop Custom neural network model and Machine learning model with TensorFlow. You will get the access of Kaggle/Google Notebooks for the codes.


This course is for anyone who has access to a computer with working internet. Our experts have designed this course for complete beginners, keeping in mind that extra effort has to be made by learners.

Beginner Friendly Laptop / Desktop Internet / WIFI Curiosity Dedication Energy


Our course is divided into monthly modules,you'll learn four major steps in Machine Learning in this bootcamp: Data, Model, Deep Learning and Deployment.

Python Crash Course and Data Processing
You'll learn basics of python and in this module we will build you foundation for working with the data.
  • Python crash course.
  • Learn to gather, process, clean and manipulate data.
  • Learn to explore data,identify and extract features
Foundation of Machine Learning.
We'll learn go through basics of ML, learn some of most foundational ML algorithms.
  • Basics of ML Algorithms.
  • Learn regression problems (linear regression and logistic regression).
  • Learn algorithms like KNN. regression).
  • Learn classification problems (Naïve Bayes Classifier, SVMs.)
  • Learn clustering problems (K-Means Clustering, )
  • Building and deploying ML models.
Advanced ML and Introduction to Deep Learning.
We will look at some of more advanced ML topics and also introduce you to deep learning in this module.
  • Hidden Markov Model.
  • Introduction to Neural Networks.
  • Loss Functions.
  • Activation Functions.
  • Weight and biases.
Advanced Deep Learning
We will learn and implement some of the important and advanced AI topics.
  • CNN (Convolutional Neural Networks)
  • RNN (Recurrent Neural Networks).
  • Auto Encoders, Transformers.
  • Optimizers
  • GANs and NLP.
  • Transfer Learning.
Final Project and career guidance
At this point, you would have deployed several ml and deep learning models. It's now time for a big capstone project, where you will develop project in groups all by yourself and we will be there all time for helping and guiding you. In this phase we will also help you with your resume and support you in your job search.


We adopt a hands-on learning approach where we take live classes five days a week followed by a doubt session.
This bootcamp could be rigorous for absolute beginners and we expect more hard work of around 8-10 Hrs. a week with support from our side.



We are totally transparent with our pricing and are proud of the fact that we are accessible and affordable.

Full Program Fees

$ 1250

Online Live Classes 16 Weeks Batch of 20 Mentor Support

Career Services

In the last month of our program or even after the completion of it, we will continue to provide career assistance which includes community access, resume review, portfolio review services and more importantly getting you a role in the software industry.


Mock Interview

You will have 2 free mock interview after you complete the program. The mock interview with our experts will simulate a real life interview process and help you prepare for actual interviews.



We help you setup a good GitHub profile, and also use Git version control throughout the program. At the end of the program you will have a strong GitHub Profile.



The projects you build during the bootcamp will eventually result into a comprehensive developer portfolio. We help and encourage you throughout the bootcamp to optimize projects.



Throughout the program you have can send your resume to us for review. Our experts will check the resume and provide a honest feedback. You can avail this service unlimited time during and after the bootcamp.


At this point, it's likely that you have a few inquiries. We appreciate direct questions from the students, and you can schedule a brief chat with us at any time.

How to apply for this bootcamp ?
It's great! You can start by scheduling a meet with our instructor. We will help you understand the process and help you decide if the bootcamp will be right for you. Or if you are sure about the program you can enroll directly in the program by paying the fees. In both the cases, you will have 14 day period where you can attend all the classes and if you don't find the fit you can ask for a full refund.
I am interested in bootcamp, but not sure if it will work for me ?
Most of our bootcamp participants don't have any prior experience in programming. They come in with curiosity to learn and eventually succeed. If you are unsure about anything, you can schedule a meeting with one of our instructor and we will guide you through the process.
How do I prepare for this bootcamp ?
We recommend preparing some of the basic topics before the bootcamp starts, we will be sharing resources that you can follow and prepare yourself for the program.
What are hardware requirements for the bootcamp ?
You should have a personal computer running either Windows, Mac or Linux. You can't continue with mobile or tablet.
  • Processor: Intel i3 (minimum) or equivalent.
  • Memory: 4 GB RAM (minimum), 8 GB RAM (recommended)
  • Storage: 45 GB available space
  • Peripherals: A webcam
  • Connectivity: Internet with >10 Mbps
Are the classes Live or Recorded?
Our classes are live. We teach you concepts live in the class, you can ask question just-in-time and classes are completely interactive and fun. We also require you to complete some homework on your own and with your teammates.

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