Oracle Cloud Infrastructure Data Science Professional Course Overview

The Oracle Cloud Infrastructure Data Science Professional course is designed to equip learners with the necessary skills and knowledge to effectively utilize the OCI Data Science service for building, training, and managing machine learning models in the cloud. It covers an extensive range of topics, from the basics of setting up and configuring the environment, to advanced model deployment and MLOps practices.

Starting with an introduction to the platform in Module 1, the course progresses through initial configuration (Module 2), workspace design (Module 3), and the full machine learning lifecycle (Module 4), including data preprocessing, visualization, and model evaluation. It also delves into Oracle AutoML, feature engineering, and model explanations, providing a comprehensive understanding of how to create robust predictive models.

Module 5 focuses on MLOps architecture, demonstrating best practices for maintaining and monitoring machine learning projects, while Module 6 introduces related OCI services, enhancing learners' capabilities in data science with tools like Spark, Data Labeling, and AI Services.

For individuals and professionals looking to delve into the world of cloud-based data science, this course provides a solid foundation and a pathway to mastering Oracle Cloud Infrastructure's data science tools and services, ultimately leading to the creation of scalable and efficient machine learning solutions.