AI Machine Learning

Course Content
  • Introduction to data analysis using Python
  • Use of Matplotlib library for graphical representations
  • File handling capabilities
  • Game development using PyGame library
  • Object recognition – objects, animals, objects from videos using OpenCV
  • Speech recognition
  • Handwriting recognition
  • XML file handling protocols
  • JSON file handling
  • Introduction to Data Science and Big Data using ApacheSpark
  • Data Science Process
  • Intro to Machine learning
  • Scikit library and usage
  • Supervised Learning – Classification, Regression models
  • Un-Supervised Learning – Clustering, Dimensionality
  • Reduction models
  • Prediction and forecasting from the ML models
  • High level views on other emerging ML models

Who Will Benefit?

This course is ideal for any student completing their undergraduate or postgraduate degree who is keen to pursue a career in the growing field of Artificial Intelligence and Machine Learning.

Project Outcome

  • Projects in Data science
  • Prediction and Forecasting patterns in weather, stock markets, in recent Covid pandemic,
  • Probability of an event happening
  • Arriving in Real-time decisions
  • Creating customer segmentation, sales forecasting
  • Sentiment Analyser


60 Hours

Minimum attendance expectation


Prior skills requirement

Basic Python Coding Skills Or Must Have Completed The ‘Python Primer’ Course.