Learn by doing. Grow by building
Curriculum Overview
Month 1: Foundations & Tools
Learn Python for AI, work with Numpy, Pandas, and Matplotlib, understand Scikit-learn basics, and set up Git, VS Code, and your development environment.
Month 2: Core AI & ML Concepts
Dive into supervised and unsupervised learning, study key algorithms like Decision Trees, Logistic Regression, and KNN, and complete mini projects such as credit scoring and loan prediction.
Month 3: Advanced + Interview Prep
Explore deep learning fundamentals using TensorFlow/Keras, cover model evaluation, overfitting, and deployment basics, and prepare with mock interviews, whiteboard exercises, and case studies.
