Data Science with AI & ML Advanced Level

Course Overview

Hands-on ML & AI program covering algorithms, neural networks, NLP, computer vision, and real-world projects. Learn to build and deploy intelligent systems and prepare for AI engineering careers.

Prerequisites

• Proficiency in Python programming
• Basic knowledge of statistics and mathematics
• Understanding of fundamental ML concepts (preferred, not mandatory)

Learning Outcomes

• Build predictive ML models for real-world datasets
• Apply clustering, dimensionality reduction, and ensemble learning
• Develop deep learning models for vision and NLP tasks
• Work with Hugging Face and Generative AI APIs
• Deploy ML/AI models to cloud platforms
• Complete an end-to-end AI project