Using Oracle Machine Learning with Autonomous Database 2024 ELS Course

The Using Oracle Machine Learning with Autonomous Database 2024 course is designed to equip learners with the skills needed to harness the power of Oracle’s Autonomous Database for advanced data analytics and predictive modeling. This training introduces participants to Oracle Machine Learning (OML) concepts, tools, and workflows, enabling them to build, train, evaluate, and deploy machine learning models directly within the Autonomous Database environment.

Participants will gain hands-on experience with OML notebooks, algorithms, and automation features that simplify the end-to-end machine learning lifecycle. The course emphasizes practical applications such as classification, regression, clustering, anomaly detection, and data preparation, ensuring learners can apply techniques to solve real-world business problems.

By the end of the course, learners will understand how to integrate machine learning seamlessly with Oracle Autonomous Database, reduce data movement, improve performance, and accelerate AI adoption within organizations. This training is ideal for professionals aiming to enhance their data-driven decision-making and leverage Oracle’s cloud-native solutions for AI and analytics.


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Learning Options for You

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

Fee: On Request

Course Prerequisites

  • Basic knowledge of databases and SQL
  • Familiarity with data analysis concepts
  • Prior exposure to Oracle Database is helpful but not mandatory

Learning Objectives

This course provides practical knowledge of Oracle Machine Learning with Autonomous Database, covering model building, evaluation, and deployment to enable AI-driven insights and data solutions.

Target Audience

  • Data scientists and analysts
  • Database administrators exploring AI integration
  • Developers and application engineers
  • Business intelligence professionals
  • IT professionals working with Oracle Cloud

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