Iterative, the MLOps company dedicated to streamlining the workflow of data scientists and machine learning (ML) engineers, today announced a free online course for data scientists to learn how to use Iterative tools, including DVC, CML, and Studio.
Iterative Tools School teaches skills with a practical approach: Learning is broken down into digestible modules with additional practice lessons.
In this course, students will learn the best practices from software engineering and apply them to machine learning projects and build their own customized platform without the heavy lifting of a homegrown solution by leveraging shared strategies and knowledge learned in this course.
Together, CML and DVC provide ML Engineers a number of features and benefits that support data provenance, machine learning model management and automation. DVC and CML are open-source tools that are now available for free. Iterative also provides a commercial offering of a collaboration service DVC Studio.