Artificial Intelligence Program Enroll Now Learn how to bring together data and teams from various disciplines.

Artificial Intelligence Program (3 days)

Artificial Intelligence, popularly known as ‘AI’, is the new buzzword one would hear everywhere. In fact, some organizations have already started training their employees on basic AI skills. While some have moved ahead in the game, other organizations still keep data in cartels and teams in silos. In fact, the average enterprise isn’t ready for what AI is about to demand. Artificial Intelligence works best when it brings together data & teams from various disciplines.

Program Objectives


  • State of the art advanced cloud based tools and technologies in AI/ML/DL
  • Open source Deep learning frameworks
  • Scikit-learn, keras, Python, Colab Notebook, Tensorflow


  • ML/DL models and build classifiers using datasets
  • Pre-Processing Data, Handle missing data, Identify and remove
    outliers, Feature engineering


  • Save and productionize the models

Course Structure

Day 1

  • Introduction to AI/ML/DL
  • Supervised & Unsupervised Learning
  • Pandas and Numpy
  • Preprocessing –Missing data, Outliers, Scaling & Normalization
  • Train, Test Split, Cross Validation
  • Building Models ( Regression, Classification) using Scikit-Learn
  • Measure Model errors, accuracy

Day 2

  • Deep Neural Network Models using Keras
  • Introduction to Tensorflow – Estimator, Data, Eager Execution, Layers
  • Build Feature Columns
  • Use the Dataset API to construct data pipeline
  • Build Neural Network Models using Tensorflow

Day 3

  • Introduction to RNN & CNN
  • Build CNN Models using Keras Build a Digits Image classifier using the MNIST dataset
  • Build a Classifier using Fashion-MNIST dataset Build a LSTM neural network
  • Predict Movie ratings using the IMDB dataset
  • Dimensionality Reduction
  • PCA, t-SNE Visualization using Tensorflow Board


Benefits / Advantages



Prof. Dr. Uday Salunkhe

Group Director, WeSchool Eisenhower Fellow

Dr. Anil Rao Paila

Group Director, WeSchool Eisenhower Fellow

Prof. Dr. Madhavi Lokhande

Group Director, WeSchool Eisenhower Fellow


JOHNSON PUSHPANATHAN (AI Practitioner and Trainer)

Visiting Faculty

Mr Johnson Pushpanathan – Founder & CEO of FSI Infotech has over 28+ years of progressive IT experience in Fortune 500 and ISO 9000 companies specializing in Global Multi-Organizational, Multi-National Manufacturing, Sales and Financial Management Business System Implementations. He has over 15+ years of IT expertise in enterprise systems like ERP, CRM, SCM, PLM and over 10+ years of vast consulting & training experience in the field of Analytics/ BI/ DW and over 5+ years in the field of AI/ ML/ DL Tools.

Mr Johnson has created Machine learning models using Python and R and extensively used Deep Learning frameworks – Google’s Tensorflow and Facebook’s Pytorch. He has provided Training on Machine Learning and Deep Learning using Pytorch and Tensorflow and mentored and trained team members on Machine Learning & Deep Learning. He has designed, built & customized Enterprise Data Warehouse (EDW) Data Models and Dimensional Models. Mr Johnson has also designed, created and Implemented EDW/ETL Adapters for Analytics modules from several sources Oracle EBS, CRM, IBM Maximo, Custom Customer Built Systems and Big Data.

Program Fee

The fee for the program is INR 37,000 + GST. Early Bird offer INR 32,500 + GST.

(Package is inclusive of tuition fee, course material, Certification, library access, participant Manual KIT, lunch & high tea. For outstation participants, we have complementary accommodation at our hostel.)


The payment can be made via a Cheque or DD in the favour of Prin. L.N. WELINGKAR INSTITUTE OF MANAGEMENT DEVELOPMENT AND RESEARCH.

Eazypay payment details

Ø Go to the portal

Ø Enter the mobile number registered with Welingkar.

Ø Enter the One-Time Password received on your mobile and click on ‘Submit’.

Ø Find your bill/invoice.

Ø Tick the ‘I agree and Accept Button’ and then click on the ‘Pay now’ button.


Batch dates: Coming Soon

Application process: Please click on the Application form button, fill in your complete details and press submit.

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