Post Graduate Programme in Machine Learning Syllabus 2025: Subjects, Specializations, and Semester-wise Syllabus

Syllabus of PGP in Machine Learning

The Post Graduate Programme in Machine Learning typically covers a comprehensive syllabus that includes core concepts in machine learning, deep learning, and artificial intelligence. Students study topics such as supervised and unsupervised learning, neural networks, natural language processing, computer vision, reinforcement learning, data preprocessing, feature engineering, model evaluation, and deployment. Additionally, the curriculum often includes practical hands-on projects, real-world applications, and exposure to popular machine learning tools and libraries. Ethical considerations, model interpretability, and emerging trends in the field are also addressed. The program aims to equip students with the knowledge and skills needed to excel in the rapidly evolving field of machine learning.