Program Overview
Hands-on AI/ML course covering supervised learning, basic neural networks, and practical model deployment. Ideal for beginners aiming to build applied ML skills.
Why This Course?
Project-based learning
Python & scikit-learn driven labs
Curriculum
2 modules1
ML Foundations
Regression & ClassificationFeature EngineeringModel Validation
2
Neural Networks Intro
PerceptronsBackpropagationBasic Architectures
Prerequisites
Basic Python knowledge recommended.
Target Learners
Learners interested in applied machine learning and data science.