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🧠 Oracle Cloud Infrastructure (OCI) Data Science Professional Course

The Oracle Cloud Infrastructure (OCI) Data Science Professional course is designed to equip Data Scientists and Machine Learning/AI Engineers with the expertise to leverage OCI’s comprehensive suite of data science tools.

This hands-on program covers the entire machine learning lifecycle — from setting up data science workspaces to deploying and managing production-grade ML models using OCI services. Participants gain practical experience in building, training, deploying, and monitoring machine learning models, applying MLOps best practices, and integrating with other OCI services for end-to-end data science workflows.


🎯 Course Objectives

After completing this course, you will be able to:

  • 🧩 Determine the appropriate OCI services to implement Machine Learning solutions for real-world business use cases.

  • ⚙️ Configure and manage OCI Data Science workspaces and projects.

  • 🧠 Utilize the Accelerated Data Science (ADS) SDK for streamlined data science processes.

  • 🔁 Implement an end-to-end machine learning lifecycle, including data preparation, model training, evaluation, and deployment.

  • 🛠 Apply MLOps best practices to automate and monitor ML workflows.

  • 🌐 Integrate OCI Data Science with other OCI services such as:

    • OCI Vault (for secure key management)
    • OCI Object Storage (for data storage and retrieval)
    • OCI Generative AI (for AI-driven insights)
    • OCI Data Flow (for distributed data processing)
    • OCI Data Labeling (for supervised learning workflows)

🚀 Benefits to You

By completing this course, you will gain the following capabilities:

🧭 OCI Data Science Environments

  • Learn to configure and manage Data Science workspaces and projects.
  • Use ADS SDK to simplify and accelerate your ML pipelines.

🔬 Machine Learning Lifecycle

  • Prepare, train, evaluate, and deploy machine learning models using OCI Data Science.

🧰 MLOps Practices

  • Automate, track, and monitor ML experiments and model deployments effectively.

🔗 OCI Service Integration

  • Integrate with OCI Vault, Object Storage, Generative AI, Data Flow, and Data Labeling for scalable solutions.

🏗 ML and Cloud Best Practices

  • Apply best practices for building robust, secure, and scalable machine learning systems.

💼 ML Solutions for Business

  • Identify and utilize OCI services for business-specific machine learning solutions that drive real impact.

📘 Course Resources & References

Here are some essential resources to support your learning journey:


🌩 Cloud Family

  • Cloud Platform: Oracle Cloud Infrastructure (OCI)
  • Course Category: OCI Hands-On Labs
  • Focus Area: Data Science, Machine Learning, and AI Integration

🏁 Conclusion

The OCI Data Science Professional Course empowers you to become proficient in building, automating, and managing ML solutions in the cloud. With a blend of hands-on labs, theoretical grounding, and real-world applications, you’ll gain the confidence to deploy intelligent solutions at scale using Oracle’s state-of-the-art cloud infrastructure.


© Oracle Cloud Infrastructure | Data Science Professional Learning Path

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The Oracle Cloud Infrastructure (OCI) Data Science Professional course is designed to equip Data Scientists and Machine Learning/AI Engineers with the expertise to leverage OCI’s comprehensive suite of data science tools.

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