Artificial Intelligence

Class X / Subject Code - 417
Artificial Intelligence has always been a term that intrigues people all over the world. Various organizations have coined their own versions of defining Artificial Intelligence.
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Course Objective

The objective of this module/curriculum – which combines both Inspire and Acquire modules is to develop a readiness for understanding and appreciating Artificial Intelligence and its application in our lives.

Course Features

Relate, apply and reflect on the Human-Machine Interactions to identify and interact with the three domains of AI: Data, Computer Vision and Natural Language Processing and Undergo assessment for analysing their progress towards acquired AI-Readiness skills.
Instructor
Helping learners understand the world of Artificial Intelligence and its applications through games, activities, and multi-sensorial learning to become AI-Ready.
  • E-learning & Onsite classes
  • A 'Workshop' class
  • Industrial Visit
  • Certificate of Completion

Course Content

  • What is Intelligence
  • Decision Making
  • What is Artificial Intelligence
  • How do machines become Artificially Intelligent
  • Applications of AI around us
  • What is not AI
  • Introduction to AI: Basics of AI
  • Introduction to AI Domains
  • AI Ethics
  • Introduction
  • Problem Scoping
  • Data Acquisition
  • Data Exploration
  • Jupyter Notebook
  • Introduction to Python
  • Python Basics
  • Application of Data Science
  • Basic Statistics with Python
  • Data Visualisation
  • Data Sciences:
  • Classification Model
  • Application of Computer Vision
  • Computer Vision Tasks
  • Image Features
  • Introduction to OpenCV
  • Convolution Neural Network
  • Application of Natural Language Processing
  • Natural Language Processing: Getting Started
  • Human Language VS Computer Language
  • Data Processing
  • Model Evaluation Terminologies
  • Confusion matrix
  • Evaluation Methods