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Using Oracle Machine Learning with Autonomous Database 2024 ELS Course Overview

Using Oracle Machine Learning with Autonomous Database 2024 ELS Course Overview

Unlock the power of data with our Using Oracle Machine Learning with Autonomous Database 2024 ELS course at Koenig Solutions. This course is designed to help you effectively harness machine learning capabilities within the Oracle Autonomous Database. You'll learn key concepts such as data preparation, model building, and deployment strategies that enhance business decision-making.

Our practical applications emphasize hands-on experience, enabling you to apply machine learning techniques to real-world problems. By the end of this course, you'll be equipped with the skills to leverage data insights effectively, setting you on the path to becoming a proficient data scientist in today’s technology-driven world. Join us to elevate your career!

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Course Prerequisites

Absolutely! Here are the minimum required prerequisites for successfully undertaking the "Using Oracle Machine Learning with Autonomous Database 2024 ELS" course:


  • Basic understanding of database concepts and relational database management systems (RDBMS).
  • Familiarity with SQL and the ability to write simple queries to retrieve and manipulate data.
  • Basic knowledge of programming concepts; experience with Python is a plus but not mandatory.
  • An introductory understanding of machine learning concepts will be beneficial.
  • Willingness to engage with hands-on labs and practical exercises.

These prerequisites are designed to ensure you have a foundational knowledge that will help you maximize your learning experience in the course. We welcome learners from all backgrounds and are excited to help you develop your skills in Oracle Machine Learning!


Target Audience for Using Oracle Machine Learning with Autonomous Database 2024 ELS

The "Using Oracle Machine Learning with Autonomous Database 2024 ELS" course is designed for IT professionals looking to enhance their skills in data analysis and machine learning using Oracle's autonomous database technology.


  • Data Analysts
  • Data Scientists
  • Machine Learning Engineers
  • Database Administrators
  • Business Intelligence Analysts
  • Software Developers
  • IT Managers
  • System Architects
  • Data Engineers
  • Oracle Database Users
  • Academic Researchers in Data Science
  • Technical Trainers for IT courses


Learning Objectives - What you will Learn in this Using Oracle Machine Learning with Autonomous Database 2024 ELS?

Course Introduction:
The Using Oracle Machine Learning with Autonomous Database 2024 ELS course equips participants with essential skills and knowledge to leverage Oracle's machine learning capabilities effectively within an Autonomous Database environment.

Learning Objectives and Outcomes:

  • Understand the architecture of Oracle Autonomous Database and machine learning integration.
  • Explore data preparation techniques using Oracle Machine Learning.
  • Implement various machine learning algorithms in the Oracle environment.
  • Analyze and visualize data using built-in tools in Oracle Machine Learning.
  • Evaluate model performance and select optimal algorithms.
  • Learn best practices for deploying machine learning models in production.
  • Utilize SQL and PL/SQL for advanced data manipulation and analysis.
  • Integrate machine learning workflows with other Oracle tools and services.
  • Gain insights into real-world applications and case studies using Oracle Machine Learning.
  • Understand security and governance considerations in data science projects.

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