
This programme introduces students to the core concepts and practical applications of machine learning. Starting with Python programming fundamentals, learners progress into key machine learning techniques such as regression, classification, clustering, and neural networks.
The curriculum also covers advanced topics including model evaluation, ensemble methods, and machine learning operations in cloud environments. This specialisation equips students with the technical skills required for careers in AI, data science, and advanced analytics, and serves as a strong foundation for further study in emerging technologies.
Python Programming Fundamentals
Introduction to Machine Learning
Regression and Classification Models
Neural Networks and Deep Learning
Machine Learning Model Training and Evaluation
KNN, Decision Trees and SVM
Ensemble Learning Methods
Clustering Techniques
Machine Learning in the Cloud (MLaaS)
Machine Learning Operations (MLOps)