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Live Webinar: Essentials of Artificial Intelligence

13 Registered Feb, 2019 11:00 AM 2 Hrs

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About the Instructor:

He is an OPTIMISTIK INFOSYSTEMS Accredited Instructor with, more than 10 years of experience in Delivering Training to Corporates in Classroom as well as Online mode. He is a Data scientist, Statistical Modeler Analyst & Big Data trainer in the field of statistical analysis (with management & operational prospective) using technological driven tools & technics including Data Science. AI, BI, Data Analytics, Text mining, NLP, Machine & Deep learning, Cloud computing, IOT, Social media mining, Visual analytics, Big-data set-up like Hadoop, Mahout and Spark.

He is a trainer for Analytic & Statistical modelling on Predictive & Prescriptive Analysis , Time-Series & Demand forecasting, Regression Analysis (Linear to Neural Network to Market Basket analysis), Classification(supervised) & Clustering(unsupervised), Churn, Conjoint & Link Analysis, Market Mix & Market Segmentation, Text mining, Multi-Dimensional scaling, Index creation with tools like Excel, SAS (EG & EM),R,R-Studio, Rev R, SPSS, Python, Rapid Miner, MS azure ML studio, Big-Data, Hadoop, Spark, Mahout, AIML, Cloud Computing. Machine & Deep learning, NLP & Text mining implementer with model deployment using web service.

Cloud Computing consultant for SAAS, PAAS, IAAS, NAAS Public, and Private & Hybrid cloud models. Previously Asst. Professor for Decision Science Area. Visiting faculty for Distributing & cloud computing, Research Methodology, Operational research management, Project management, DW/Data & Advance data mining using SAS, SPSS, Python & ML azure ML studio/Business Intelligence, E-Services in Digital Marketing, Network Economy, Web & Google Analytic, Website analysis, Social media extraction & mining, NLP & Text mining, Building dashboard applications using R, Structural equation modelling using AMOS & LISREL, Face-book & twitter mining, Semantic search(web 3.0). Conducted workshop in corporate along with global certification programs in SAS(Base , Advance, SQL & Macros), SPSS & R, Rapid Miner, Social media impact & leverage,NLP, NLG, Text Mining,Open Text,Cloud Computing, Big-Data, Hadoop, Spark, Data Mining SMAC (Social media, Mobile, Analytic & Cloud computing).



What is Artificial Intelligence ?

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning the acquisition of information and rules for using the information, reasoning i.e. using rules to reach approximate or definite conclusions and self-correction.


This is an On- Demand, customized webinar to be delivred for a large audience teams who are exploring options in Data Visualization. This is a part of a large Group which is into engineering design, product development, smart manufacturing, and digitalization.

Event Schedule:

Session 1 - Introduction (60 mins):

  • Fundamental of AI
  • Introduction to Neural Networks like  Weights, Biases, Activation Functions, Gradient Decent or Error function, Epoch, Forward & backward propagation
  • Multi-layered Neural Networks
  • Introduction to Python for Deep Learning Libraries like Tensorflow, Keras, Theano, Caffen, CNTK.
  • Convolution Neural Networks for Images, Video dataset along with Time series (numerical and text data)
  • RNN: Recurrent Neural Networks
  • LSTM: Long Short term Memory
  • Markov Chain Model
  • Introduction to Chat-bot along with brief understanding on few tools like IBM Watson, Google API.AI, Microsoft’s Luis, Amazon Lex.


  • How to select AL solution which can increase revenue by automating the repeated task with ML/DL algorithm.
  • Perceptional challenges along with pros & cons for your customized AI solution.

Session 2 - Case Study( 60 mins):

  • Scope- Role of AI in Banking/ Financial institute through implementation of virtual SME.

Other Events:

Target Audience:

Must have basic understanding of Machine Learning

Delivery Mode:

  • Live Online
  • Instructor Led

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