Advance Your Skills with Oracle Cloud Infrastructure Data Science Professional Training.

Master the tools and techniques of data science with Oracle Cloud Infrastructure (OCI) Data Science Professional training. This course equips data professionals with the ability to leverage OCI’s powerful platform to build, train, and deploy machine learning models at scale.

Learn to optimize data workflows, streamline model development, and make data-driven decisions that elevate business performance.

Gain hands-on experience with OCI’s machine learning capabilities and walk away with the confidence to handle real-world data challenges.

Overview

The Oracle Cloud Infrastructure (OCI) Data Science Professional course is designed to equip Data Scientists, Machine Learning/AI Engineers with the skills and knowledge to effectively utilize OCI’s comprehensive suite of data science tools. Spanning the entire machine learning lifecycle, from establishing a data science workspace to deploying and overseeing machine learning models in real-world environments, this course enables participants to harness OCI’s robust capabilities. They will learn to construct, train, and deploy machine learning models, apply MLOps best practices, and integrate other OCI services to optimize their data science workflows.

By the end of this course, you’ll gain the necessary preparation to achieve the Oracle Cloud Infrastructure Data Science Professional Certification and advance your career in data science.

Skills Covered

You’ll also acquire the skills to:

  • Configure and manage OCI Data Science workspaces and projects.
  • Utilize Accelerated Data Science (ADS) SDK for streamlined data science processes.
  •  Implement end-to-end machine learning lifecycle, including data preparation, model training, evaluation, and deployment.
  • Apply MLOps practices to automate and monitor machine learning workflows.
  • Integrate with other OCI services such as OCI Vault, OCI Data Flow, and OCI Data Labelling.
  • Identify OCI services to implement an ML solution for a business use case.
  • Incorporate ML and cloud best practices.

Prerequisites

There are no prerequisites required to attend this class.

Target Audience

Anyone who are interested to attend.

Course Curriculum

Module 1: Welcome to Data Science

  • Course Overview
  • Expert Tips: Intro

Module 2: Introduction and Configuration

  • Data Science: Introduction
  • ADS SDK Overview
  • Tenancy Configuration Basics
  • Configure a Tenancy with OCI Resource Manager
  • Networking for Data Science
  • Authenticate to OCI APIs
  • Skill Check: Introduction and Configuration

Module 3: Workspace Design and Setup

  • Projects
  • Notebook Sessions
  • How to Work with JupyterLab
  • Conda Environments: Overview
  • Data Science Conda Environments
  • Manage Conda Environments
  • Demo: Manage Conda Environments
  • OCI Vault: Introduction
  • Using OCI Vault in OCI Data Science
  • Code Repositories (Git)
  • Demo: Code Repositories (Git)
  • Skill Check: Workspace Design and Setup

Module 4: Machine Learning Lifecycle

  • ML Lifecycle: Overview
  • Access Data
  • Data Preprocessing
  • Demo: Data Preprocessing
  • Data Visualization
  • Model Training
  • Expert Tips: Training a ML model on OCI
  • Oracle AutoML: Introduction
  • Demo: Oracle AutoML
  • Hyperparameter Tuning: ADSTuner
  • Model Evaluation
  • Expert Tips: ADS Evaluators
  • Model Explanations: Global Explainer
  • Model Explanations: Local Explainer
  • Expert Tips: Explainers
  • Model Catalog: Overview
  • Model Serialization
  • Model Deployment
  • Demo: Model Deployment
  • Expert Tips: Hugging Face
  • Demo: Model Deployment using Tensor Flow
  • LLM Training & LangChain Integration
  • Demo: Deploy LangChain based RAG to OCI Data Science
  • Demo: OCI Data Science Operators
  • Demo: OCI AI Quick Actions
  • Skill Check: Machine Learning Life Cycle

Module 5: MLOps Practices

  • MLOps Architecture
  • Data Science Jobs
  • Demo: Create Artifacts
  • Demo: Create and Manage Jobs
  • Demo: Start and Manage a Job Run
  • Demo: Scaling
  • Jobs Monitoring and Logging
  • Data Science Pipeline
  • Demo: Data Science Pipeline
  • Model Deployment: Autoscaling
  • Expert Tips: Pipelines
  • Skill Check: MLOps Practices

Module 6: Related OCI Services

  • Spark Applications, Data Flow, and Data Science
  • Oracle Open Data
  • OCI Data Labeling
  • Skill Check: Related OCI Services

Dates & Locations

Let’s make it work for you

Can’t find a date that fits? Need to train your whole team? Looking for a discount?
Speak to one of our learning experts today.

x Clear all selections

June 17, 2026 - June 19, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 7250

June 17, 2026 - June 19, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 7250

September 1, 2026 - September 3, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 7250

September 1, 2026 - September 3, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 7250

December 1, 2026 - December 3, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 7250

December 1, 2026 - December 3, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 7250
Trainocate exam and cert

Exam & Certification

This course is not associated with any Certification.

Training & Certification Guide

Frequently Asked Questions

Speak to a Training Consultant

All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631

Preferred mode of training
Checkboxes