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Affiliated to Mangalore University, Affiliated to Bangalore City University, Affiliated to University of Mysore and Recognized by NSDC-Skill India

Fundamental AI Course for Beginners


Curriculum:

1. Introduction to Articial Intelligence

  • Definition and historical context

  • Types of AI: Narrow vs. General

  • Real-world examples across industries

  • Components of a computer & basics of OS

2. Problem Solving

  • Algorithmic thinking

  • Introduction to owcharts and pseudocode

3. Mathematics for AI

  • Basic algebra

  • Probability and statistics

  • Vectors, matrices, and operations

  • Applications in AI

4. Introduction to Machine Learning

  • Definitions and key concepts

  • Supervised vs. Unsupervised learning

  • Overview of regression, classication, and clustering

  • Decision trees and random forests

5. Practical Application - No-code AI Tools

  • Introduction to No-code/Low-code Platforms

  • Explore tools like Google Teachable

  • Machine, IBM Watson Studio

  • Hands-on projects with no coding

6. Introduction to Coding for AI

  • Introduction to a Python

  • Variables, loops, and conditionals

7. Hands-on AI Coding Projects

  • Implementing simple machine learning algorithms

  • Solving basic problems using code

8. Final Project

  • Apply theoretical knowledge to a practical project

  • Present ndings and demonstrate understanding

9. Assessment and Wrap-up

 

Fundamental AI Course for Beginners
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