What you'll learn

Traditional machine learning models often miss the complex, real-world relationships embedded in highly connected data. In this course, Machine Learning on Knowledge Graphs, you’ll gain the ability to transform structured knowledge into powerful, actionable insights. First, you’ll explore how to generate rich continuous vector embeddings from graph structures. Next, you’ll discover how to apply Graph Neural Networks (GNNs) for tasks like node classification and link prediction. Finally, you’ll learn how to integrate these techniques into downstream applications like recommendation systems and NLP pipelines. When you’re finished with this course, you’ll have the skills and knowledge of graph-based machine learning needed to build modern, context-aware AI systems.