Machine Learning Live Classes

Do you want to step-in to a career in Machine Learning within just 6-week? Presenting to you the Machine Learning Live Classes that take you from the basic to the expert level in Machine Learning in just 6 weeks.

Days:Tuesday & Saturday  
Mode:: Live and Online
Time:: 7-9 p.m.

Endorsed by
Software & Training Partner

Are you ready for the data driven world?

Be a part of this course to acquire all the necessary skills by working on datasets provided by our partner companies to become a certified Data scientist. Join us on this 6-week journey as our data scientists take you through all the techniques to build and machine learning models, exciting and employment relevant hands-on projects.

We cover everything in this. Here are the broad topics that are covered in this comprehensive course.

  • Basics of Python for Machine Learning
  • Pandas for Data Handling
  • Data Visualization with matplotlib
  • Probability and statistics
  • Linear Regression
  • Polynomial Regression
  • Classification
  • Decision Trees and Random Forests
  • Support Vector Machines
  • Natural Language Processing
  • Deep Learning

What do we offer in Live Classes?

While you are surely excited about the possibilities from this 6-weeks of high quality learning, you should know in detail what all do you exactly get in this program

  • 25+ hours of sessions - Experience the IIT-IIM mentors take you from the basics to the advanced level in 2-hour long sessions, twice a week on Tuesday and Saturday
  • IIT-IIM mentors only - Get to learn Machine Learning from our Data Scientists from IITs and IIMs that give you a balanced view of technology and business
  • Ask all your doubts - Live classes give you an opportunity to ask all your doubts right from the faculty during the class
  • 24x7 Connect with your peers and mentors - Be a part of our Telegram group comprising hundreds of machine learning enthusiasts, practitioners and our faculty
  • Missed a session? Watch it later - Get all the live sessions as recordings in your dashboard. So, no more missing out on session!
  • Resume & Interview Preparation - End the program with an all the more important session on resume and interview preparation to kickstart your ML career

Session Plan

Here is an overview of all the sessions that will be covered in this 6-week Live Machine Learning Program.

  • Intro to machine learning and the future of work
  • Basics of Jupyter, Python and Pandas
  • Linear algebra, probability and statistics
  • Data Visualization
  • Exploratory Data Analysis
  • Linear Regression - OLS & KNN
  • Polynomial Regression
  • Classification and logistic regression
  • Support Vector Machines (SVM) and Decision Trees-Random Forest
  • Natural Language Processing (NLP)
  • Hierarchical and Kmeansclustering
  • Recommender systems and apriori algorithms
  • Artificial Neural Networks
  • Resume building and interview preparation?

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.

Course - Options

Machine Learning Live Classes

6-weeks of Live Classes take you from basics to expert level in Machine Learning. Here is what all comes with the Live classes.

  • Live Classes for 6 weeks
  • Access to Jupyter Environment
  • Physical Certificate (jointly issued by Intel and CL)
  • Access to the free internship
  • Interview at the end of 8 weeks
  • Learning Videos

Rs. 19,999
Enroll Now!

Machine Learning Live Classes + Free Internship + Crash Course + Physical Certificate

Along with the Live sessions, get a free online internship of 8 weeks along with a crash course and a certificate jointly issued by Career Launcher and Intel.

  • Live Classes for 6 weeks
  • Access to Jupyter Environment
  • Physical Certificate (jointly issued by Intel and CL)
  • Interview at the end of 8 weeks
  • Learning Videos

Rs. 24,999
Enroll Now!


Thanks to the media, most of us are aware of the promise and the potential of AI. We even have a somewhat good idea of what it is being used for today. But as the development of artificial intelligence progresses it is no longer something that we can just appreciate from afar. While AI is expected to one day be able to replace all of our jobs, the more immediate impact is in its ability to analyse and bring meaningful insights and predictions from the vast stockpiles of data available to companies today. The sub domain of artificial intelligence that deals with this field is machine learning. The biggest differentiator going forward for businesses will be in their mastery of the possibilities and limitations of machine learning.

Unlike other innovations in the past, being on top of the machine learning revolution is not as straightforward as having machine learning specialists in every company. Everyone will need to be well versed in the application of machine learning. Just as one cannot in this day and age function without being able to read and write, in tomorrow’s world machine learning will become the new literacy. According to the World Economic Forum1, over half of the jobs in the world will be impacted by artificial intelligence in the next five years and many of those people will need to be reskilled.

Along with the great advances of machine learning came the democratization of machine learning. A vast array of powerful tools are available for everyone and they are free to use free to take apart, learn from and improve upon. It is now easier than ever before to get your toes wet in machine learning. No longer is it solely the domain of the upper echelons of mathematicians and computer scientists. Not only can anyone learn machine learning, everyone should learn it.

The bar of entry to become proficient in machine learning is surprisingly low. You can start today with a knowledge of grade school mathematics, a computer and a willingness to learn.

Should I learn Online ? While online learning is the dominant platform to learn machine learning today, it’s not for everyone. While many, including our in house data science team have learnt from online courses, we feel it is inferior to the experience of classroom coaching. One needs a very strong drive to complete an online course as evidenced by the very high dropout rates among the viewers of Andrew Ng’s videos. There is also little to no recourse for doubt clarification if you are stuck with something.

There are many applications of machine learning to sales roles. For example machine learning can be used to interpret and gain meaningful insights from customer data. Having a data driven understanding of your customer base is gives your company an edge in making marketing decisions as you can know what your customers want with data rather than intuition. Forecasting is another sales task that is falls squarely in the domain of things machine learning excels at. Given enough data, machine learning models can make very accurate sales forecasts with little human intervention or effort. Sales communication is another forte of machine learning as many simple to moderately complex enquiries about sales or promotions can be handled by AI chatbots or machine learning enabled email reply bots leaving the humans to handle the more creative and complex tasks. Machine learning can also be employed to track the discussions and opinions of your brand on social media and even make intelligent responses to maintain a positive atmosphere around the brand.

There are a number of HR functions that can either be enhanced or done entirely by AI. Attrition detection is one of the most important functions of HR, understanding why employees stay at or leave a job is a good job for machine learning. Given the data, machine learning algorithms may find patterns and insights into employees decisions that HR professionals may overlook. This data can then be used to make corrections in HR policies. Processing prospective employees is another major task. It requires HR professionals to dig through a vast number of CVs to find the right candidate. Often times the best candidates get offers elsewhere before you can get a chance to see his or her resume, so speedy turnaround times are also necessary. Machine learning algorithms make combing through large number of resumes an easy task so you can get the perfect candidate before everyone else.

Definitely! While a background in mathematics or programming will no doubt be an invaluable asset to a data scientist, one does not need it to apply machine learning to their businesses. The most essential ingredients in becoming a good data scientist are creativity and a mastery of the data.

Contact Us

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

Ayush Joshi -
Mythreya Lingala -