Build AI-ready database skills using Oracle AI Database, Vector Search and modern SQL capabilities.

Learn how to use Oracle AI Database features to manage vector data, perform semantic searches, work with embeddings and leverage SQL for AI-powered applications. Learners gain hands-on experience with the technologies that support generative AI, intelligent search and modern data-driven applications.

  • Why get trained: Learn how to use Oracle AI Database features including Vector Search, embeddings, semantic search and AI-enabled SQL capabilities to support modern AI and data initiatives.
  • Why it matters: Organizations are increasingly integrating AI capabilities directly into their data platforms. Professionals who understand AI-enabled databases can help accelerate AI adoption while leveraging existing enterprise data assets.
  • Who should attend: Database administrators, database developers, data engineers, data architects, AI practitioners and IT professionals looking to build AI-powered database and analytics capabilities.

Build practical Oracle AI Database and Vector Search capabilities to support next-generation AI, analytics and intelligent application initiatives with Trainocate. HRD Corp Claimable.

Overview

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.

Skills Covered

Learn to:

  • Retrieve Data using the SQL SELECT Statement
  • Restrict and Sort Data
  • Customize Output Using Single-Row Functions
  • Use Conversion Functions and Conditional Expressions
  • Report Aggregated Data Using the Group Functions
  • Display Data from Multiple Tables Using Joins
  • Manage Tables by Using DML Statements
  • Create Sequences, Synonyms, Indexes, Views, and Schema Objects
  • Manage Data by Using Subqueries and Advanced Queries
  • Control User Access and Manage Data in Different Time Zones

Prerequisites

There are no prerequisites required to attend this course.

Target Audience

  • Database Administrator
  • Developer

Course Curriculum

Module 1: Introduction

  • Objectives
  • Overview of Oracle Database 23c and Related Products
  • Oracle Database 23c: Focus Areas
  • Oracle Database 23c
  • Overview of Relational Database Management Concepts and Terminologies
  • Relational and Object Relational Database Management Systems
  • Data Storage on Different Media
  • Relational Database Concept
  • Definition of a Relational Database
  • Data Models
  • Entity Relationship Model
  • Entity Relationship Modeling Conventions
  • Relating Multiple Tables
  • Relational Database Terminology
  • Human Resources (HR) Schema and the Tables Used in This Course
  • Human Resources (HR) Application
  • Tables Used in This Course
  • Tables Used in the Course
  • Introduction to SQL and Its Development Environments
  • Using SQL to Query Your Database
  • How SQL Works
  • SQL Statements Used in the Course
  • Development Environments for SQL in Oracle
  • Introduction to Oracle Live SQL
  • Oracle Database 23c SQL Documentation and Additional Resources
  • Oracle Database Documentation
  • Additional Resources for Oracle
  • Oracle University: Oracle SQL Training
  • Oracle SQL Certification
  • Summary

Module 2: Retrieving Data Using the SQL SELECT Statement

  • Course Roadmap
  • Objectives
  • Capabilities of SQL SELECT Statements
  • HR Application Scenario
  • Writing SQL Statements
  • Basic SELECT Statement
  • Selecting All Columns
  • Executing SQL Statements with Oracle SQL Developer and SQL*Plus
  • Column Heading Defaults in SQL Developer and SQL*Plus
  • Selecting Specific Columns
  • Selecting from dual with Oracle Database
  • New Feature in 23c: SELECT Without FROM Clause
  • Arithmetic Expressions and NULL Values in the SELECT statement
  • Arithmetic Expressions
  • Using Arithmetic Operators
  • Operator Precedence
  • Defining a Null Value
  • Null Values in Arithmetic Expressions
  • Column Aliases
  • Defining a Column Alias
  • Using Column Aliases
  • Use of the Concatenation Operator, Literal Character Strings, Alternative Quote Operator, and the DISTINCT Keyword
  • Concatenation Operator in Oracle
  • Literal Character Strings
  • Using Literal Character Strings in Oracle
  • Alternative Quote (q) Operator in Oracle
  • Duplicate Rows
  • DESCRIBE Command
  • Displaying Table Structure by Using the DESCRIBE Command
  • Displaying Table Structure by Using Oracle SQL Developer
  • Summary

Module 3: Restricting and Sorting Data

  • Course Roadmap
  • Objectives
  • Limiting Rows
  • Limiting Rows by Using a Selection
  • Limiting Rows That Are Selected
  • Using the WHERE Clause
  • Character Strings and Dates
  • Comparison Operators
  • Using Comparison Operators
  • Range Conditions Using the BETWEEN Operator
  • Using the IN Operator
  • Pattern Matching Using the LIKE Operator
  • Combining Wildcard Symbols
  • Using NULL Conditions
  • Defining Conditions Using Logical Operators
  • Using the AND Operator
  • Using the OR Operator
  • Using the NOT Operator
  • Rules of Precedence for Operators in an Expression
  • Rules of Precedence
  • Sorting Rows Using the ORDER BY Clause
  • Using the ORDER BY Clause
  • Sorting
  • SQL Row Limiting Clause in a Query
  • SQL Row Limiting Clause
  • Using SQL Row Limiting Clause in a Query in Oracle
  • SQL Row Limiting Clause: Example in Oracle
  • Substitution Variables in Oracle
  • Using the Single-Ampersand Substitution Variable
  • Character and Date Values with Substitution Variables
  • Specifying Column Names, Expressions, and Text
  • Using the Double-Ampersand Substitution Variable
  • Using the Ampersand Substitution Variable in SQL*Plus
  • Assigning Values to Variables
  • Using the DEFINE Command in Oracle
  • Using the VERIFY Command in Oracle
  • Summary

Module 4: Using Single-Row Functions to Customize Output

  • Course Roadmap
  • Objectives
  • HR Application Scenario
  • Single-Row SQL Functions
  • SQL Functions
  • Two Types of SQL Functions
  • Single-Row Functions
  • Character Functions
  • Case-Conversion Functions
  • Using Case-Conversion Functions in WHERE Clauses in Oracle
  • Character-Manipulation Functions
  • Using Character-Manipulation Functions
  • Nesting Functions
  • Nesting Functions: Example
  • Number Functions
  • Numeric Functions
  • Using the ROUND Function
  • Using the TRUNC Function in Oracle
  • Using the MOD Function
  • Working with Dates in Oracle Databases
  • RR Date Format in Oracle
  • Using the SYSDATE Function in Oracle
  • Using the CURRENT_DATE and CURRENT_TIMESTAMP Functions in Oracle
  • Arithmetic with Dates in Oracle
  • Using Arithmetic Operators with Dates in Oracle
  • Date Functions
  • Date-Manipulation Functions in Oracle
  • Using Date Functions in Oracle
  • Using ROUND and TRUNC Functions with Dates in Oracle
  • Summary

Module 5: Using Conversion Functions and Conditional Expressions

  • Course Roadmap
  • Objectives
  • Implicit and Explicit Data Type Conversion
  • Conversion Functions
  • Implicit Data Type Conversion of Strings to Numbers
  • Implicit Data Type Conversion of Numbers to Strings
  • TO_CHAR, TO_DATE, and TO_NUMBER Functions in Oracle
  • Using the TO_CHAR Function with Dates
  • Elements of the Date Format Model
  • Using the TO_CHAR Function with Dates
  • Using the TO_CHAR Function with Numbers
  • Using the TO_NUMBER and TO_DATE Functions
  • Using TO_CHAR and TO_DATE Functions with the RR Date Format
  • General Functions
  • NVL Function
  • Using the NVL Function in Oracle
  • Using the NVL2 Function in Oracle
  • Using the NULLIF Function
  • Using the COALESCE Function
  • Conditional Expressions
  • CASE Expression
  • Using the CASE Expression
  • Searched CASE Expression
  • DECODE Function in Oracle
  • Using the DECODE Function
  • JSON Functions
  • JSON_QUERY Function
  • JSON_TABLE Function
  • JSON_VALUE Function
  • Summary

Module 6: Reporting Aggregated Data Using the Group Functions

  • Course Roadmap
  • Objectives
  • Group Functions
  • Types of Group Functions
  • Group Functions: Syntax
  • Using the AVG and SUM Functions
  • Using the MIN and MAX Functions
  • Using the COUNT Function
  • Using the DISTINCT Keyword
  • Group Functions and Null Values in Oracle
  • Grouping Rows
  • Creating Groups of Data
  • Creating Groups of Data: GROUP BY Clause Syntax
  • Using the GROUP BY Clause
  • Using the GROUP BY Column Position
  • Using the GROUP BY Clause
  • Grouping by More Than One Column
  • Using the GROUP BY Clause on Multiple Columns
  • Illegal Queries Using Group Functions
  • Illegal Queries Using Group Functions in a WHERE Clause
  • Restricting Group Results
  • Restricting Group Results with the HAVING Clause
  • Using the HAVING Clause
  • Nesting Group Functions
  • Nesting Group Functions in Oracle
  • Summary

Module 7: Displaying Data from Multiple Tables Using Joins

  • Course Roadmap
  • Objectives
  • Types of Joins and Their Syntax
  • Why Join?
  • Obtaining Data from Multiple Tables
  • Types of Joins
  • Joining Tables Using SQL Syntax
  • Natural Join
  • Creating Natural Joins
  • Retrieving Records with Natural Joins
  • Join with the USING Clause
  • Creating Joins with the USING Clause
  • Joining Column Names
  • Retrieving Records with the USING Clause
  • Qualifying Ambiguous Column Names
  • Using Table Aliases with the USING Clause in Oracle
  • Join with the ON Clause
  • Creating Joins with the ON Clause
  • Retrieving Records with the ON Clause
  • Creating Three-Way Joins
  • Applying Additional Conditions to a Join
  • Self-Join
  • Joining a Table to Itself
  • Self-Joins Using the ON Clause
  • Nonequijoins
  • Retrieving Records with Nonequijoins
  • Outer Join
  • Returning Records with No Direct Match Using OUTER Joins
  • INNER Versus OUTER Joins
  • LEFT OUTER JOIN
  • RIGHT OUTER JOIN
  • FULL OUTER JOIN in Oracle
  • Cartesian Product
  • Cartesian Products
  • Generating a Cartesian Product
  • Creating Cross Joins
  • Summary

Module 8: Using Subqueries to Solve Queries

  • Course Roadmap
  • Objectives
  • Subquery: Types, Syntax, and Guidelines
  • Using a Subquery to Solve a Problem
  • Subquery Syntax
  • Using a Subquery
  • Rules and Guidelines for Using Subqueries
  • Types of Subqueries
  • Single-Row Subqueries
  • Executing Single-Row Subqueries
  • Using Group Functions in a Subquery
  • HAVING Clause with Subqueries
  • What is wrong with this statement?
  • No Rows Returned by the Inner Query
  • Multiple-Row Subqueries
  • Using the ANY Operator in Multiple-Row Subqueries
  • Using the ALL Operator in Multiple-Row Subqueries
  • Multiple-Column Subqueries
  • Multiple-Column Subquery: Example
  • Null Values in a Subquery
  • Summary

Module 9: Using Set Operators

  • Course Roadmap
  • Objectives
  • Set Operators: Types and Guidelines
  • Set Operators
  • Set Operator Rules
  • Oracle Server and Set Operators
  • Tables Used in This Lesson
  • UNION and UNION ALL Operators
  • UNION Operator
  • Using the UNION Operator
  • UNION ALL Operator
  • Using the UNION ALL Operator
  • INTERSECT Operator
  • Using the INTERSECT Operator
  • MINUS Operator
  • Using the MINUS Operator
  • Matching SELECT Statements
  • Matching SELECT Statements in Oracle
  • Matching the SELECT Statement: Example in Oracle
  • Using the ORDER BY Clause in Set Operations
  • Using the ORDER BY Clause in Set Operations in Oracle
  • Using the ORDER BY Clause in Set Operations in Oracle: Example
  • Summary

Module 10: Managing Tables Using DML Statements

  • Course Roadmap
  • Objectives
  • HR Application Scenario
  • Adding New Rows in a Table
  • Data Manipulation Language
  • Adding a New Row to a Table
  • INSERT Statement Syntax
  • Inserting New Rows
  • INSERT Statement Syntax
  • Inserting Rows with Null Values
  • Inserting Special Values
  • Inserting Specific Date and Time Values
  • Creating a Script
  • Copying Rows from Another Table
  • Changing Data in a Table
  • UPDATE Statement Syntax
  • Updating Rows in a Table
  • Updating Two Columns with a Subquery
  • Updating Rows Based on Another Table
  • Enhancement in 23c
  • RETURNING Clause in 23c: Example
  • Removing Rows from a Table
  • Removing a Row from a Table
  • DELETE Statement
  • Deleting Rows from a Table
  • Deleting Rows Based on Another Table
  • Enhancements to UPDATE and DELETE Statements in 23c
  • UPDATE: Example
  • DELETE: Example
  • TRUNCATE Statement
  • Database Transaction Control
  • Database Transactions
  • Database Transactions: Start and End
  • Advantages of the COMMIT and ROLLBACK Statements
  • Explicit Transaction Control Statements
  • Rolling Back Changes to a Marker
  • Implicit Transaction Processing
  • State of Data Before COMMIT or ROLLBACK
  • State of Data After COMMIT
  • State of Data After ROLLBACK
  • State of Data After ROLLBACK: Example
  • Statement-Level Rollback
  • Read Consistency
  • Implementing Read Consistency
  • Manual Data Locking
  • FOR UPDATE Clause in a SELECT Statement
  • FOR UPDATE Clause: Examples
  • LOCK TABLE Statement
  • Summary

Module 11: Introduction to Data Definition Language

  • Course Roadmap
  • Objectives
  • HR Application Scenario
  • Database Objects
  • Naming Rules for Tables and Columns
  • CREATE TABLE Statement
  • Creating Tables
  • Staging Tables
  • Creating Staging Tables: Methods
  • Using Staging Tables: Example
  • Data Types
  • Datetime Data Types
  • SQL*Plus Support for Boolean Data Type in 23c
  • Creating a Table with Boolean Type and Inserting Data: Example
  • Querying the Table Containing BOOLEAN Values in SQL Developer: Example
  • Default Output in SQL*Plus: Example
  • Using the COLUMN Command to Customize Output: Example
  • DEFAULT Option
  • 23c Enhancement to SQL Statements
  • UPDATE Option to the Existing DEFAULT ON NULL Clause: Example
  • Updating demo_t and Setting ename to the ‘missing name’ Value: Example
  • DEFAULT ON NULL with IDENTITY Columns and Update Column c2 to <sequence>.nextval: Example
  • Constraints: Overview
  • Including Constraints
  • Constraint Guidelines
  • Defining Constraints
  • Defining Constraints: Example
  • NOT NULL Constraint
  • UNIQUE Constraint
  • PRIMARY KEY Constraint
  • FOREIGN KEY Constraint
  • FOREIGN KEY Constraint: Keywords
  • CHECK Constraint
  • CREATE TABLE: Example
  • IF (NOT) EXISTS Enhancement
  • IF NOT EXISTS Clause: Example
  • Violating Constraints
  • Creating a Table by Using a Subquery
  • ALTER TABLE Statement
  • Adding a Column
  • Modifying a Column
  • Dropping a Column
  • SET UNUSED Option
  • Read-Only Tables
  • DROP TABLE Statement
  • Dropping a Table
  • Dropping the DEMO Table If It Exists: Example
  • Summary

Module 12: Introduction to Data Dictionary Views

  • Introduction to Data Dictionary
  • Why data dictionary?
  • Data Dictionary
  • Data Dictionary Structure
  • How to Use Dictionary Views
  • USER_OBJECTS and ALL_OBJECTS Views
  • USER_OBJECTS View
  • Querying the Dictionary Views
  • Table Information
  • Column Information
  • Constraint Information
  • USER_CONSTRAINTS: Example
  • Querying USER_CONS_COLUMNS
  • Adding a Comment to a Table and Querying the Dictionary Views
  • Adding Comments to a Table
  • Summary

Module 13: Creating Sequences, Synonyms, and Indexes

  • Create, Maintain, and Use Sequences
  • E-Commerce Scenario
  • Database Objects
  • Referencing Another User’s Tables
  • Sequences
  • CREATE SEQUENCE Statement: Syntax
  • Creating a Sequence
  • NEXTVAL and CURRVAL Pseudocolumns
  • Using a Sequence
  • SQL Column Defaulting Using a Sequence
  • Caching Sequence Values
  • Modifying a Sequence
  • Guidelines for Modifying a Sequence
  • Sequence Information
  • Create Private and Public Synonyms
  • Synonyms
  • Creating a Synonym for an Object
  • Creating and Removing Synonyms
  • Synonym Information
  • Create and Maintain Indexes
  • Indexes
  • How are indexes created?
  • Creating an Index
  • CREATE INDEX with the CREATE TABLE Statement
  • Function-Based Indexes
  • Creating Multiple Indexes on the Same Set of Columns
  • Creating Multiple Indexes on the Same Set of Columns: Example
  • Index Information
  • USER_INDEXES: Examples
  • Querying USER_IND_COLUMNS
  • Removing an Index
  • Summary

Module 14: Creating Views

  • Overview of Views
  • Why views?
  • Database Objects
  • What is a view?
  • Advantages of Views
  • Simple Views and Complex Views
  • Creating, Modifying, and Retrieving Data from a View
  • Creating a View
  • Retrieving Data from a View
  • Modifying a View
  • Creating a Complex View
  • View Information
  • Data Manipulation Language (DML) Operations on a View
  • Rules for Performing DML Operations on a View
  • Rules for Performing Modify Operations on a View
  • Rules for Performing Insert Operations Through a View
  • Using the WITH CHECK OPTION Clause
  • Denying DML Operations
  • Dropping a view
  • Removing a view
  • Summary

Module 15: Managing Schema Objects

  • Manage Constraints
  • Adding a Constraint: Syntax
  • Adding a Constraint
  • Dropping a Constraint
  • Dropping a Constraint: ONLINE
  • ON DELETE Clause
  • Cascading Constraints
  • Cascading Const

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