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.
Who Should Attend
Anyone who are interested to attend.
Course Curriculum
Course Modules
Exam & Certification
This course is not associated with any Certification.
