This repository documents my learning journey and achievement in Oracle Cloud Infrastructure (OCI) Data Science Professional.
- OCI Data Science Service fundamentals and workflow
- Accelerated Data Science (ADS) SDK for EDA, transformation, and AutoML
- Jobs, Pipelines, and Model Catalog for scalable ML lifecycle management
- MLOps Practices β model deployment, monitoring, and retraining
- Security & Governance using resource principals and dynamic groups
- Data Labeling & AI Services Integration for real-world ML projects
I successfully earned the OCI Data Science Professional certification and badge:
- Notes/ β Detailed study notes and topic summaries
- Labs/ β Hand-On Lab
- OCI25DSOCP.jpg β Official certification badge
Leverage the gained skills to design end-to-end AI/ML pipelines on Oracle Cloud, integrating AutoML, ADS SDK, and MLOps workflows for enterprise-grade data science solutions.
