Applied Machine Learning for Information Technology

Catalog description

Hands-on labs to develop practical skills in building end-to-end machine learning workflows. Covers core concepts including data preparation, model development, deployment and monitoring. Emphasizes working with large-scale and big data pipelines, iterative design, scalability and integration of machine learning into production-ready systems.