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Deep learning and Artificial Intelligence


  • Data Science / Business Analytics Professionals who want to upgrade their skills
  • Good Understanding of
    • Python
    • Linear Algebra
    • Probabilities and Statistics


Successful candidates would get opportunities in the domain of Healthcare, Retail, Telecom and Banking as robotic process automation specialist. Those who want to pursue higher studies (i.e. PhD) can find this course immensely helpful

Admission Open until 12th February,2018.


Sr. No Topic Duration (in hrs)
1 Introduction to deep learning and its application in real world 2 hrs
2 Basics of Neural Net 3 hrs
2a Lab Session:
  • Implementing logit function using Python
  • Build and deploy a deep neural net using logit
2 hrs
3 Improving Neural Net: Hyperparameter tuning, Regularization and Optimization 4 hrs
3a Lab Session:
  • Gradient Decent Algorithm and Gradient Checking
  • Regularization
  • Optimization
2 hrs 1.5 hrs 1.5 hrs
4 Introduction to OpenCV and its application in feature engineering 3 hrs
4a Lab Session: Build and deploy a image classification algorithm using OpenCV 1 hrs
5 Variants of Neural Net: CNN, Sequence Model i.e. LSTM RNN() 3 hrs
5a Lab Session:
  • Build and deploy a sequence model for predicting time series using keras
  • CNN implementation
1 hr 1.5 hr
6 Introducing Tensor flow 3 hrs
6a Lab Session: Applying Tensor flow for handwriting recognition 1.5 hr
Total 30 hrs

Course timings & days:

4 hours per day

2 days per week

4 weeks

Course Fee: INR 22,500/- per participant

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