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This repository documents my learning journey through the Oracle Cloud Infrastructure (OCI) Data Science Professional course. It includes structured notes, summaries, and practical insights covering workspace design, tenancy configuration, networking, authentication, notebook sessions, and core data science workflows on OCI.

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🧠 Oracle Cloud Infrastructure – Data Science Professional

This repository documents my learning journey and achievement in Oracle Cloud Infrastructure (OCI) Data Science Professional.


πŸ“Œ About the Certification

  • 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

πŸ† Achievement

I successfully earned the OCI Data Science Professional certification and badge:

OCI Data Science Professional Badge


πŸ“‚ Repository Contents

  • Notes/ – Detailed study notes and topic summaries
  • Labs/ – Hand-On Lab
  • OCI25DSOCP.jpg – Official certification badge

πŸš€ Next Steps

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.

About

This repository documents my learning journey through the Oracle Cloud Infrastructure (OCI) Data Science Professional course. It includes structured notes, summaries, and practical insights covering workspace design, tenancy configuration, networking, authentication, notebook sessions, and core data science workflows on OCI.

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