We have updated a course in our catalog of free online courses – Using a Machine Learning Workflow for Link Prediction, which is intended for experienced Cypher and Python developers and data scientists who want to learn how to apply graph algorithms from the Neo4j Graph Data Science Library using a machine learning workflow. The course uses Neo4j 4.0 in a Neo4j Desktop environment, with most of the hands-on coding done in Jupyter notebooks run on local systems. The course covers topics such as setting up the development environment, exploratory data analysis, building a recommendation engine for authors, and learning how to build a machine learning classifier to predict co-authorships in the citation graph. The course includes four hours of hands-on exercises and is an update to the previous course Data Science with Neo4j 3.5.