This document provides an overview of artificial intelligence, including its history, definitions, applications, and related concepts. It discusses the development of machines that can perform human-like tasks through techniques like visual perception and decision making. The document also outlines popular AI domains like machine learning, deep learning, natural language processing and computer vision. It introduces programming languages used for AI like Python and discusses machine learning and how it relates to deeper concepts like deep learning and neural networks. Applications of AI like self-driving cars are also mentioned.

1. ARTIFICIAL INTELLIGENCE

2. AGENDA
o HISTORY OF AI
o WHAT IS ARTIFICIAL INTELLIGENCE
o AI APPLICATION
o TYPES OF AI
o PROGRAMMING LANGUAGES FOR AI
o MACHINE LEARNING
o DEEP LEARNING
o NEURAL NETWORKS
o SELF DRIVING CARS
o FUN PROJECT

3. 1. HISTORY OF AI

5. WHAT IS ARTIFICIAL INTELLIGENCE?
oDevelopment of machines to perform tasks that requires human intelligence.
oSuch as visual perception, speech recognition and decision making.
oTechnique of getting machines to work & behave like humans.

6. AI DOMAINS
Artificial
Intelligence
Machine
Learning
Deep
Learning
Natural
Language
Processing
Computer
Vision
Expert
Systems
Knowledge
Base

7. WHY AI IS IN DEMAND?

8. APPLICATIONS OF AI

10. PROGRAMMING LANGUAGES FOR AI

11. WHAT IS PYTHON ?
Python is a general purpose, high level,
interpreted language with easy syntax and
dynamically initialized.
Created by Guido Van Rossum in 1989.

12. Why is Python Popular?
Easy Free Applications Library

13. Features of Python

14. AI vs ML vs DL

15. MACHINE LEARNING