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The Oracle Machine Learning with Autonomous Database course is an educational program designed to equip learners with the skills to leverage Oracle Machine Learning (OML) within the Oracle Autonomous Database environment. Throughout the course, participants will explore various components and features of OML, understand how to create and manage workspaces and projects, and how to execute SQL scripts and commands. They'll gain practical knowledge through hands-on experiences with notebooks for data analysis, learn to collaborate using templates, and manage OML jobs.
Learners will navigate the intricacies of administering OML, working with Oracle Machine Learning using Autonomous Transaction Processing Cloud, and creating impactful visualizations using Oracle Analytics Cloud. By the end of the course, attendees will be proficient in oracle machine learning using autonomous database and oracle machine learning with autonomous database, empowering them to perform data analysis, machine learning, and data visualization within the Oracle Cloud ecosystem. This comprehensive course roadmap ensures that participants are well-prepared to harness the power of OML for data-driven decision-making.
1-on-1 Training
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4-Hour Sessions
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♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
To successfully undertake training in the Oracle Machine Learning with Autonomous Database course, students should ideally have the following minimum prerequisites:
Please note that while these prerequisites are aimed at ensuring a smooth learning experience, we encourage students with varying levels of expertise and backgrounds to enroll. Our course is designed to guide learners through the fundamentals before progressing to more advanced topics.
The Oracle Machine Learning with Autonomous Database course is designed for IT professionals looking to specialize in data analytics and machine learning.
This course equips participants with comprehensive skills in leveraging Oracle Machine Learning on the Autonomous Database to analyze data, build models, and create visualizations for actionable insights.