Building Decision making models to train the machines for automation.

Train machines to learn!

Predictive search is becoming better, Autonomous cars are becoming reality along with that the quantum of data that needs to be processed and required independency of algorithm is increasing. At present the industry is buildings products. The necessity for self learning algorithm has never been so high, In the past 2 years machine learning engineer job posting increased 344% ,making it sought after field to be in the world looking to recruit for positions like Machine Learning Engineer, Machine Learning Analyst, NLP Data Scientist, Data Sciences Lead, and Machine Learning Scientist

According to Gartner around $2.3 million A.I jobs will be created by the end of 2020 and the AI market is estimated to reach $183 billions and expected to grow.

What is Machine Learning?

Machine learning is the tool to analyse large amount of data to identify underlying patterns that provides system intelligence to give insight about a set of data without explicitly writing a specific code to automatically build its own logic based on the criteria. Ideally ensuring machine can learn on its own without intervention.

Automate your
career to success.

There is a lot of data, learn to identify patterns by applying supervised and unsupervised algorithms to to identify patterns on big data sets from large data sets without human intervention.

Course Impact

You Will
  • Foundations of Machine learning
  • Design and build machine learning models.
  • Learn how to write your own Python scripts
  • Perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package.
  • Master the concepts of supervised and unsupervised learning models.
You can be
  • Data scientist
  • Machine Learning Analyst
  • Business Analytics
  • Data Intelligence Engineer
  • Quantitative Analyst
  • Machine Learning Engineer
  • Machine Learning Scientist

Course Offering

This course was designed by industrial professionals and academicians which would enable you to understand structuring data, process, analyse and visualize data for report generation. All our courses are coupled with real-time projects for effective knowledge transfer. Post completion, you would be able to handle massive dataset and process it independently. Our preparatory modules would bring you up to the speed, irrespective of your background supporting your path towards data science. You would be offered a chance to secure an internship with relevant industries and participate in our hackathons.

  • Machine Learning Preparatory
  • Business Statistics
  • Data Visualization & Reporting
  • Exploratory DA & Readiness
  • Excel for Analytics
  • R Programming
  • Weekly & Module-wise
  • Project

Course Highlights

Tools you will lwarn

Scholarships & Discounts

We always believe in encouraging talented students with Scholarships and Discounts to avoid the learning hurdles due to the financial limitations. However schoralships must be awarded based on the merit, hence our assessments. We would be glad to assess learners using our multi-dimensional assessment to identify the dormant potential and thus encourage them through the learning process by offering financial benefits. To know more you could contact us or register for the online assessment. If you are not clear on the career path in the field of AI, please feel free to meet our career counsellor. We would be glad to guide you through the career options to draft a personalized career path.