Oracle Cloud Infrastructure Data Science Professional

Duration : 2 Days (16 Hours)

Oracle Cloud Infrastructure Data Science Professional Course Overview:

The Oracle Cloud Infrastructure Data Science Professional certification validates expertise in data science, encompassing machine learning algorithms, data modeling, and statistical analysis using Oracle’s Cloud Infrastructure. This industry-recognized credential showcases the ability to manage and interpret intricate data, enabling professionals to provide solutions in predictive modeling, data exploration, and model evaluation. The certification demonstrates proficiency in utilizing AI/ML tools for enhanced business insights, strategy, and operations, enhancing efficiency, productivity, and profitability. It signifies adeptness in OCI services for Data Science, encompassing experimentation, training, deployment, and management of machine learning models.

Intended Audience:

  • Data scientists looking to enhance their skill set and work with Oracle cloud infrastructure.
  • IT professionals seeking to understand and implement Oracle cloud-based data science solutions.
  • Users of the Oracle cloud platform aiming to enhance their data analysis capabilities.
  • Technologists interested in integrating Oracle’s cloud data science features into their projects.
  • Individuals aspiring to pursue a career in cloud-based data science.

Learning Objectives of Oracle Cloud Infrastructure Data Science Professional:

The Oracle Cloud Infrastructure Data Science Professional course aims to achieve the following learning objectives:

  • Develop a foundational comprehension of Oracle’s cloud infrastructure capabilities, features, and advantages.
  • Acquire skills to create, deploy, and oversee data-driven applications within Oracle Cloud.
  • Utilize Oracle’s array of data science tools for predictive modeling, data exploration, and data visualization.
  • Implement data cleaning and transformation techniques to enhance data integrity and quality.
  • Apply cloud-based data science solutions to address practical business challenges effectively.

This course is designed to equip learners with a comprehensive understanding of Oracle Cloud’s data science capabilities, enabling them to harness its tools and techniques for enhanced data analysis, application development, and addressing real-world business needs.

 Module 1: Welcome to Data Science

  • OCI Data Science Introduction
  • ADS SDK Overview
  • Tenancy Configuration Basics
  • Configure a Tenancy with OCI Resource Manager
  • Networking for Data Science
  • Authenticate to OCI APIs
  • How to Work with JupyterLab
  • Conda Environment: Overview
  • Data Science Conda Environments
  • Manage Conda Environments
  • OCI Vault – Introduction
  • Using OCI Vault in OCI Data Science
  • Code Repositories Git
  • ML Lifecycle
  • Access Data
  • Data Preprocessing
  • Introduction to Feature Types
  • Custom Feature Types
  • Data Visualization
  • Model Training
  • Oracle AutoML – Introduction
  • Hyperparameter Tuning – ADSTuner
  • Model Evaluation
  • Model Explanations: Global Explainer
  • Model Explanations: Local Explainer
  • Model Catalog Overview
  • Serialization and Managing Models
  • Model Deployment
  • MLOps Architecture
  • Data Science Jobs
  • Monitoring Logging
  • Spark Applications, Data flow, and Data science
  • Oracle Open Data
  • OCI Data Labeling
  • AI Perceptual Services
  • AI Decision Services

Oracle Cloud Infrastructure Data Science Professional Course Prerequisites:

• Knowledge of Oracle Cloud Infrastructure (OCI) concepts
• Basic understanding of data science and machine learning concepts
• Familiarity with open-source tools used in data science like Python, Git etc.
• Experience with OCI core services and service-related roles and policies
• Comfortable with OCI’s console.

Discover the perfect fit for your learning journey

Choose Learning Modality

Live Online

  • Convenience
  • Cost-effective
  • Self-paced learning
  • Scalability


  • Interaction and collaboration
  • Networking opportunities
  • Real-time feedback
  • Personal attention


  • Familiar environment
  • Confidentiality
  • Team building
  • Immediate application

Training Exclusives

This course comes with following benefits:

  • Practice Labs.
  • Get Trained by Certified Trainers.
  • Access to the recordings of your class sessions for 90 days.
  • Digital courseware
  • Experience 24*7 learner support.

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