Artificial Intelligence - Basics

Prerequisite: Basic Computer  Knowledge

Total No of Hours: 10

This course includes:

1. INTRODUCTION TO AI- Introduction, Foundational Concepts of AI, Types of Intelligence, Decision Making, Introduction to AI, ML, DL, Introduction to AI Domains (Data, CV, NLP), Threats to AI

2. APPLICATIONS OF AI- Real Life Applications of Research Areas, Application of AI, A look at Real-Life AI Implementations, History of Application of AI

3. AI PROJECT CYCLE- Introduction to AI project Cycle, Problem Scoping, Data Acquisition, Data Exploration, Modeling, Decision Tree, Training Model of AI

4. INTRODUCTION TO PYTHON- Why AI is using Python, Python Features, Python Identifiers, Data Types (Numbers, Strings, List, Tuples, Dictionaries), Decision Making Statements (if Condition).