1Z0-1110-25:Oracle Cloud Infrastructure 25 Data Science Prep

Prepare for your Oracle Cloud Infrastructure (OCI) Data Science assessment with this comprehensive course! This learning path focuses on practical application and understanding of OCI's powerful data science tools and services.

• OCI Data Science Fundamentals: Gain a solid foundation in OCI Data Science. Explore the architecture and core components including Workspaces, Projects, Notebooks, and Models. Learn about configuring your OCI tenancy and compartments for optimal data science workflows.

• Accelerated Data Science (ADS) SDK: Master the ADS SDK for efficient data science. Discover key features like data profiling, AutoML, model training, and techniques for understanding model explanations. We'll cover ADS SDK installation and practical use cases.

• Workspace & Environment Setup: Learn to effectively manage your data science environment. This includes creating and managing projects and notebook sessions. Understand Conda environments – setup and customization – and secure credential management with OCI Vault. Integrate your code with Git and Code Repositories.

• Machine Learning Lifecycle: Navigate the complete ML lifecycle, from data ingestion and preparation to modeling, deployment, and ongoing monitoring. Learn to fetch data from both OCI and external sources, and utilize powerful visualization and profiling tools within ADS. Train models using both open-source and Oracle AutoML, and understand crucial evaluation metrics and model explanation techniques. Register, deploy, and invoke models through the Model Catalog.

• Advanced AI Integration: Explore the potential of Advanced AI Integration within OCI. Learn to leverage ADS with OCI Generative AI services and deploy LangChain applications on OCI.

• MLOps & Automation: Implement robust MLOps practices for streamlined data science operations. Understand the OCI MLOps architecture and learn to create and manage jobs. Implement autoscaling model deployments for efficient inference, and set up logging, monitoring, and pipeline automation.

• Related OCI Services: Expand your data science capabilities with integrated OCI services. Learn to run Spark apps via OCI Data Flow, and explore the OCI Open Data Service. Discover how to create datasets using the OCI Data Labeling service.

Important Note: This course is strictly for educational and exam preparation. The content is not affiliated with or endorsed by Oracle Corporation.