This learning path covers Oracle Cloud Infrastructure (OCI) Data Science, a service that supports the full machine learning life cycle, enabling data scientists to rapidly build, train, deploy, and manage machine learning models using Python and open source libraries. Users work in a familiar JupyterLab notebook interface, track and store their models in a model catalog, and operationalize them on managed infrastructure using best MLOps practices.

You will learn to:

• Identify OCI services to implement an ML solution for a business use case.
• Incorporate ML and cloud best practices.
• Use Oracle Cloud Infrastructure Data Science to ingest data, build, train, evaluate models, save models to model catalog, deploy models and automate machine learning pipelines.
• Apply OCI Data & AI services to create ML solutions.

At the end of this training and after going through the related documentation, you will be prepared to take on the Oracle Cloud Infrastructure Data Science Professional certification.