MLOps With Red Hat OpenShift: A Cloud-Native Approach to Machine Learning Operations

With the groundwork in place, you'll be guided to MLOps workflows, uncovering the applications of popular machine learning frameworks for training and testing models on the platform.

As you advance through the chapters, you'll focus on the open-source data science and machine learning platform, Red Hat OpenShift Data Science, and its partner components, such as Pachyderm and Intel OpenVino, to understand their role in building and managing data pipelines, as well as deploying and monitoring machine learning models.

Armed with this comprehensive knowledge, you'll be able to implement MLOps workflows on the OpenShift platform proficiently.