Use the Multitenant feature of Oracle AI Database for it to function as a container database (CDB), thereby improving resource utilization, management, and overall security. Learn the benefits, configuration, and management of container and pluggable databases, including backup, security, and data migration using Oracle AI Database. With hands-on practices, you’ll be able to reinforce the learning of the new Oracle Multitenant feature and its capabilities.
-
This course covers the latest additions and improvements in Oracle AI Database. It equips Oracle Database Administrators with knowledge about enhanced tools for better management, focusing on performance, architecture, security, and database sharding. The topics include updates to AI Vector Search, True Cache, Sharding, Blockchain Tables, Data Migration with RMAN, Wide Tables, and Lock-Free Reservations.
-
This course explores developer-centric features in the Oracle AI Database release, starting with the AI Vector Search feature. It covers new capabilities in SQL for developers, offering flexibility in writing SELECT, DML, DDL, and Materialized View statements. The course also covers improvements in Oracle’s analytic capabilities, upgrades to JSON functionality, and introduces new Globalization features.
-
-11%
This course is targeted at Developers and Database Administrators and begins with the concepts of a relational database and the SQL programming language. It includes writing queries against single and multiple tables, manipulate data in tables, and create database objects.
You’ll also learn how to create sequences, synonyms, indexes, and views, manage schema objects, and manage data using subqueries. Additionally, the course covers controlling User Access and managing data in different time zones.
-
-11%
This course is targeted at Database Administrators and begins with explaining the architecture of an Oracle Database instance and the tools used to access it. The course includes creating and managing a database, configuring and managing Oracle Net Services along with creating and administering pluggable databases (PDBs). You learn how to create and manage database storage, users, backup, and implement database security.
Additionally, the course covers protection of database against failures, loading, and transporting data.
-
This two-day, role-specific course presents additional topics and a deep dive into select subjects for the Data Engineer through the lens of the data engineering lifecycle. The course covers Snowflake concepts, features, considerations, and best practices intended for stakeholders who will be accessing, developing, and querying datasets for analytic tasks, and building data pipelines in Snowflake. This course consists of data engineering concepts delivered through lectures, demos, labs, and discussions.
-
This three-day, role-specific course provides an in-depth exploration of database administrator duties and responsibilities in the Snowflake AI Data Cloud. This course covers data loading performance, security, role hierarchy design, and performance tuning. The course consists of lectures, labs, demonstrations, and discussions.
-
This two-day, role-specific course introduces data analysts to how the Snowflake AI Data Cloud enables them to deliver actionable insights and reports to their organization to drive business value. The course is structured around a data analysis lifecycle placing each capability Snowflake provides in the data analyst’s context. The course begins with how to connect to the Snowflake Data Cloud. It then covers how to analyze, ingest, enrich, report, and diagnose data insights with Snowflake. The course consists of lectures, labs, demonstrations, and discussions.
-
This three-day course for Architects and Technical Leaders provides the skills, knowledge, and Snowflake recommended best practices to deploy and operate Snowflake, insights and recommendations based upon real-world customer experiences, and the confidence to get the most out of Snowflake’s technology.
-
CompTIA SecAI+ enables a safer digital future by empowering IT and cybersecurity talent worldwide to meet the emerging challenges and opportunities at the intersection of AI and security.
This cybersecurity credential from CompTIA is the global IT industry’s first comprehensive “expansion” certification focused on the security of artificial intelligence systems and the secure application of AI in cybersecurity operations.
This certification equips professionals with critical, vendor-neutral skills to understand, defend, and ethically deploy AI technologies within any organization.
-
In this course, you’ll learn how to advance your proof-of-concept agents to production-ready agentic AI solutions on AWS. You will use Amazon Bedrock AgentCore services for tool orchestration, identity management, and production monitoring to implement secure, scalable enterprise AI systems ready for deployment.
-
In this course, you’ll learn about implementing production-ready multi-agent systems using Amazon Bedrock AgentCore, covering multi-agent patterns, context optimization techniques, security configurations, and monitoring frameworks.
You will examine the skills needed to move beyond proof-of-concept to scalable, secure, and observable agentic AI implementations.
The course prepares you to design and deploy advanced agentic systems ready for real-world production environment.
