Oracle Cloud Infrastructure Data Science Professional Course

The Using Oracle Cloud Infrastructure (OCI) Data Science Professional training is designed to equip learners with the skills needed to leverage Oracle’s cloud-native platform for advanced data science projects. This course provides a hands-on learning experience with OCI Data Science services, tools, and workflows used to streamline the end-to-end machine learning (ML) lifecycle.

Participants will explore how to create and manage data science projects, collaborate with teams, and utilize tools such as JupyterLab notebooks, the Accelerated Data Science (ADS) SDK, and OCI Data Catalog. The course also covers essential concepts like preparing datasets, training ML models, evaluating performance, deploying models as endpoints, and monitoring their usage in production environments.

By the end of the training, learners will have practical knowledge to integrate OCI Data Science with other Oracle Cloud services, ensuring scalability, security, and efficiency in ML-driven business solutions. This course prepares professionals for the Oracle Cloud Infrastructure Data Science Professional Certification and helps them develop the expertise required to drive innovation using AI and ML in enterprise environments.


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Learning Options for You

  • Live Training (Duration : 16 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic understanding of machine learning concepts
  • Familiarity with Python programming
  • Knowledge of cloud computing fundamentals (preferably OCI)

Learning Objectives

This course provides hands-on expertise in Oracle Cloud Infrastructure Data Science, covering model development, deployment, and lifecycle management for enterprise AI/ML.

Target Audience

  • Data Scientists and Analysts
  • Machine Learning Engineers
  • Cloud Professionals working with AI/ML
  • Technical leads implementing enterprise ML solutions

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