1Z0-1110-25 Oracle Cloud 2025 Data Science Professional

Elevate your data science and machine learning capabilities with this comprehensive learning path, specifically designed for Data Scientists and AI Engineers seeking to master end-to-end machine learning solutions. This program also provides a strong foundation for achieving the Oracle Cloud Infrastructure (OCI) Data Science Professional Certification.

Prerequisites:

• Solid Python proficiency for data science and machine learning.
• Familiarity with data science and machine learning open-source libraries.
• Minimum one year of machine learning (ML) experience.
• Minimum six months of hands-on experience with Oracle Cloud Infrastructure (OCI).

What You'll Learn:

The Oracle Cloud Infrastructure (OCI) Data Science Professional course empowers you to leverage OCI's powerful suite of data science tools throughout the entire machine learning lifecycle. From setting up a productive data science workspace to deploying and managing machine learning models in production, you'll gain the skills to harness OCI's robust capabilities. You will learn to:

• Identify Optimal OCI Services: Determine the best OCI services for implementing machine learning solutions tailored to specific business needs.
• Manage OCI Data Science Workspaces: Configure and manage OCI Data Science workspaces and projects effectively.
• Accelerate Data Science with ADS SDK: Utilize the Accelerated Data Science (ADS) SDK for streamlined and efficient data science workflows.
• Implement End-to-End ML Lifecycle: Master the entire machine learning lifecycle, encompassing data preparation, model training, model evaluation, and model deployment.
• Apply MLOps Best Practices: Implement MLOps practices to automate and monitor machine learning workflows, ensuring reliability and efficiency.
• Integrate OCI Services: Seamlessly integrate with other key OCI services, including OCI Vault, OCI Object Storage, OCI Generative AI, OCI Data Flow, and OCI Data Labeling.

Key Skills You'll Gain:

• OCI Data Science Environments: Configuration and management of workspaces and projects, leveraging the ADS SDK for streamlined processes.
• Machine Learning Lifecycle: Expertise in data preparation, model training, model evaluation, and model deployment.
• MLOps Practices: Proficiency in automating and monitoring machine learning workflows.
• OCI Service Integration: Hands-on experience integrating with OCI Vault, OCI Object Storage, OCI Generative AI, OCI Data Flow, and OCI Data Labeling.
• ML and Cloud Best Practices: Understanding and application of industry best practices for building robust and scalable machine learning solutions.
• Business-Focused ML Solutions: Ability to identify and implement OCI services to address specific business challenges with machine learning.

Benefits:

This learning path equips you with the skills to build, train, and deploy impactful machine learning models using Oracle Cloud Infrastructure. Become proficient in MLOps, automate your workflows, and integrate seamlessly with other OCI services to optimize your data science projects. Prepare yourself for a successful career in cloud-based machine learning and achieve the OCI Data Science Professional Certification.