About this course

Duration: 3 Months
Prerequisites: Basic programming knowledge (preferably Python)
Topics Covered:
Introduction to AI: History, Scope, and Applications Python for AI: Libraries like NumPy, Pandas Basic Machine Learning Concepts: Supervised, Unsupervised, Reinforcement Learning
Linear Regression and Classification Algorithms Data Preprocessing and Feature Engineering Introduction to Neural Networks
AI Ethics and Societal Impact
Mini Project:
Build a simple machine learning model to predict housing prices or classify images using a pre-existing dataset.