Categories: IT
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Artificial Intelligence and Machine Learning

About Course

Course Structure: 

Duration: 30 hours

     Module 1       Module 2
  • What is AI/ML, History and Early Days
  • What is ML?
  • What is Deep Learning?
  • Day to day examples of AI/ML
  • AI /ML in different fields
  • ML –In Depth study
  • Traditional vs ML programming
  • ML Applications
  • Types of ML
  • Prerequisites to learn ML
  • ML Softwares
  • Business Analytics
  • Types of Analytics
  • Fuzzy Logic
  • Natural Language Processing
  • Expert systems
  • Neural Networks
  • AI with Robotics
  • AI with Internet of Things
  • Artificial Neural Networks
  • Concept of Dataset
  • Predictive Dataset
  • Visualize Dataset
  • Concept of Libraries
  • Introduction to R Programming Language
  • Introduction to Python for ML
  • Introduction to Tensor Flow
  • Introduction to Keras








Course Curriculum