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Artificial Intelligence Training

The general objective of Artificial Intelligence (AI) is to make machines – particularly computers – do things that require intelligence when done by humans
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  • Basic Programming Languages like C, C++ and Java as they give a basic knowledge of writing and executing codes.
  • High level Programming Language i.e Python, R or any other, most preferable language
  • Few concepts of Mathematics like Calculus, Probability, Matrices and Statistics.


Brand Analysis and Sentiment Tracking of brand/political party by fetching live tweets from Twitter



Course Content

  • AI – Introduction, Implementation & Applications
  • Ai v/s ML v/s DL
  • Current Trends & Industrial Applications
  • Market Analysis for AI, ML and DL
  • Skills needed for AI Professional
  • What IT companies are doing?
  • Tools and Techniques for AI
  • Domain specific to Banking, Finance and Consumer Market
  • Environmental Constraints
  • Various Agent Types
  • PEAS Analysis of Problem
  • Process flow for an AI agent
  • Machine Learning Introduction
  • Supervised & Unsupervised Learning
  • Regression & Classification Problems
  • Examples and Algorithms
  • Customer Churn Analysis – possible ML Solutions
  • Image Processing and Computer Vision
  • Demos – Azure ML Studio
  • Productization of AI Application
  • Request Response architecture with Trained model
  • Image Processing
  • Computer Vision
  • Current Advancements
  • Deep Learning
  • Deep Learning Applications and usecases
  • Demos