Course Overview
Step into the world of intelligent systems. This course covers the entire spectrum of AI, from data preprocessing and statistical analysis to building complex **Deep Learning** models that can see, hear, and reason.
Core Modules
Module 1: Data Science Foundations
Statistics, Linear Algebra, Calculus, and Python libraries (NumPy, Pandas, Matplotlib).
Module 2: Supervised & Unsupervised Learning
Regression, SVM, Random Forests, K-Means Clustering, and PCA using Scikit-Learn.
Module 3: Deep Learning & Neural Networks
ANN, Convolutional Neural Networks (CNN) for Computer Vision, and RNNs for NLP.
Module 4: Generative AI & Deployment
LLMs (Large Language Models), Prompt Engineering, and deploying AI models via Flask/FastAPI.