Oracle AI Data Platform Workbench

Videos

Learn about Oracle AI Data Platform by watching these videos.

How to Build a Basic Medallion Architecture in Oracle AIDP Workbench video thumbnail

How to Build a Basic Medallion Architecture in Oracle AIDP Workbench

In this tutorial, you will learn how to design a basic Medallion Architecture in Oracle AI Data Platform Workbench. See step-by-step instructions for uploading supplier data, structuring workflows with catalog management and schema design, and transforming and enriching data through generative AI prompts. The demo covers preparing data in the Bronze layer, transforming and validating it in the Silver layer—including AI-driven augmentations such as generating continent values and review sentiment—and curating trusted Gold layer datasets for analytics and business reporting.

For more information, see the documentation.

How to Create an Instance in Oracle AI Data Platform Workbench video thumbnail

How to Create an Instance in Oracle AI Data Platform Workbench

In this step-by-step tutorial, learn how to create an instance in Oracle AI Data Platform Workbench—a unified and secure workspace for data integration, model development, and analytics collaboration. The video demonstrates the process from selecting the right compartment and configuring access policies to naming and creating a dedicated environment for your projects. Understand how compartments organize resources, why proper IAM permissions are required, and how to set policies to manage user access while maintaining security. Once the instance is created, teams can ingest data, build AI models, and develop analytics in a controlled, role-based environment. The video also provides tips for optimizing permissions and streamlining resource organization, making it easier to manage projects of any size. Oracle AI Data Platform Workbench accelerates your ability to drive business insights with governance, flexibility, and collaboration in mind.

For more information, see the documentation.

How to Create and Assign Roles in Oracle AI Data Platform Workbench video thumbnail

How to Create and Assign Roles in Oracle AI Data Platform Workbench

Oracle experts guide viewers through managing system roles—such as admin and auditor—delegating responsibilities, and cascading permissions efficiently. See how to add users by username or OCID, assign data engineer roles, and apply best practices for controlling data access. Gain insights into auditing, permission inheritance, and the impact of role assignments on data governance. Oracle AI Data Platform Workbench empowers administrators to safeguard sensitive data and streamline teamwork while maintaining robust access controls. For more videos and detailed resources on secure data management, explore the links below.

For more information, see the documentation.

How to Organize Data with Catalogs and Schemas in Oracle AI Data Platform Workbench video thumbnail

How to Organize Data with Catalogs and Schemas in Oracle AI Data Platform Workbench

This comprehensive demo walks through creating both standard and external catalogs, connecting external data sources, and managing different data types. Viewers learn to establish and configure schemas, import tables, and manage volumes, ensuring efficient collaboration for team-based workflows. The tutorial also explains catalog types and demonstrates practical steps for maximizing Oracle AI Data Platform Workbench for enterprise-scale analytics. Discover best practices for building a unified data environment and enabling faster business insights.

For more information, see the documentation.

How to Set Up Workspaces, Clusters, and Notebooks in Oracle AI Data Platform video thumbnail

How to Set Up Workspaces, Clusters, and Notebooks in Oracle AI Data Platform

This tutorial demonstrates how to set up a workspace, configure a compute cluster, and create a notebook in Oracle AI Data Platform Workbench. Follow step-by-step instructions for building dedicated environments for team projects—starting with workspace creation, folder organization, and user permission assignments to manage access at every level. Learn how to launch compute clusters for running Python and SQL workloads, select optimal cluster shapes and settings, and install required libraries using a requirements.txt file. See how to link clusters to notebooks, enabling seamless development, collaboration, and visualization directly within the platform. Notebook features are highlighted, including interactive code execution, language options, and formatting tools designed for both analysis and team cooperation. Oracle AI Data Platform Workbench delivers the flexibility, security, and scalability needed to streamline analytics and AI development in the cloud, supporting data-driven initiatives from initial setup to advanced solution delivery.

For more information, see the documentation.

How to Automate Workflows in Oracle AI Data Platform Workbench video thumbnail

How to Automate Workflows in Oracle AI Data Platform Workbench

In this tutorial, Oracle experts guide viewers through creating and managing complex multi-step workflows, configuring task dependencies, integrating notebooks, and applying conditional logic. The tutorial also covers how to set up branching, manage job parameters, and schedule operations for reliable, scalable analytics outcomes. Whether optimizing data pipelines or preparing for advanced machine learning tasks, Oracle AI Data Platform Workbench offers a robust environment to accelerate enterprise data initiatives. Explore how your team can leverage these best practices for enhanced productivity and performance.

For more information, see the documentation.

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