Course Details

This course introduces students to the world of AI & ML with step-by-step explanations, hands-on projects, and practical challenges. You will learn how to work with datasets, train models, evaluate accuracy, and build real-world intelligent applications.
Whether you want to become a Data Scientist, AI Engineer, or automate tasks using ML — this course puts you on the right path.

What You Will Learn

• Basics of AI, ML, Dataset & Algorithms

• Supervised & Unsupervised Learning

• Regression & Classification Models

• Neural Networks Introduction

• Feature Engineering & Model Evaluation

• Building ML projects using Python

• Deploying simple ML models

Requirements

• Basic computer knowledge

• No prior AI/ML experience required

• Python basics (optional)

Course Content

Module 1: Introduction to AI

• What is Artificial Intelligence?

• Real-world AI applications

• History & future trends

Module 2: Python for Machine Learning

• Python setup

• NumPy & Pandas basics

• Data cleaning

Module 3: Machine Learning Algorithms

• Regression models

• Classification models

• Clustering

Module 4: Neural Networks Basics

• Understanding neurons

• Activation functions

• Training a simple NN

Module 5: Final Project

• Build and deploy a small ML model