Oracle SQL - advanced Training Course

This instructor-led, live training in Serbia (online or onsite) is aimed at intermediate-level database administrators, developers, and analysts who wish to master advanced SQL functionalities for complex data operations and database management.

By the end of this training, participants will be able to:

• Perform advanced querying techniques using unions, subqueries, and complex joins.
• Add, update, and delete data, tables, views, and indexes with precision.
• Ensure data integrity through transactions and manipulate database structures.
• Create and manage databases efficiently for robust data storage and retrieval.

AI for SQL represents the application of artificial intelligence and large language models (LLMs) to automate, optimize, and improve how SQL queries are generated, executed, and interpreted within enterprise data environments.

This instructor-led, live training (available online or onsite) is designed for intermediate-level data engineers and technical leads who want to integrate AI capabilities into SQL workflows to facilitate natural language querying, intelligent optimization, and automated data analysis.

Upon completion of this training, participants will be able to:

• Integrate LLMs such as GPT, DeepSeek, LLaMA, Qwen, and Mistral into SQL environments.
• Develop natural-language-to-SQL pipelines for conversational data access.
• Implement AI-driven query optimization and error detection.
• Design secure, auditable AI-SQL workflows for enterprise use.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

 SQL Database Management and Design equips practitioners with advanced techniques for building relational databases from foundational queries to schema design. Covers core principles of SQL query commands, union operations, aggregation functions, and entity relationship modeling. Examines proven methods for multi-table joins, transaction management, and ACID properties. Helps professionals normalize tables, optimize data selection, and design robust database architectures for reliable information systems.

This instructor-led, live training in Serbia (online or onsite) targets beginner-level database administrators and developers who want to learn SQL to efficiently manage, query, and manipulate data in Oracle databases for administrative and operational tasks.

Upon completion of this training, participants will be able to:

• Grasp the architecture of Oracle databases, including schemas, users, and sessions.
• Write and optimize SQL queries for data retrieval, filtering, and manipulation.
• Utilize joins, subqueries, and set operators to handle multiple tables and complex queries.
• Execute data aggregation, grouping, and analysis using SQL functions.
• Manage schema objects such as views, sequences, and indexes to improve database operations.

This instructor-led, live training in Serbia (online or onsite) is aimed at intermediate-level developers and database administrators who wish to use Oracle SQL to design, manage, and optimize database applications and automate tasks efficiently.

By the end of this training, participants will be able to:

• Understand Oracle database architecture and manage users, schemas, and permissions.
• Write optimized SQL queries for data retrieval, manipulation, and analysis.
• Use advanced SQL techniques, including joins, subqueries, and hierarchical queries.
• Design and manage database objects like tables, indexes, views, and sequences.

This course is tailored for data analysts and users who need to extract data from databases flexibly and efficiently via direct SQL commands. It complements the ORA_SA1 training by focusing on SQL execution efficiency and addressing use cases where the SELECT command alone falls short, highlighting the need for the robust PL/SQL language.

Target Audience

This training is designed for individuals who are beginning to work with the SQL language within the Oracle database environment.

Course Objectives:

• Learn how to construct SQL queries.
• Understand the capabilities of SQL.
• Grasp the concept of relational databases.
• Understand database structure and SQL commands.

The Oracle SQL Essentials training course is a thorough program aimed at providing participants with the key skills and knowledge needed for Structured Query Language (SQL) within the Oracle Database environment.

Upon completion of this training, participants will be able to:

• Develop proficiency in writing SQL queries to retrieve and manipulate data in Oracle databases.
• Acquire necessary skills for joining tables and managing complex data relationships.
• Learn how to effectively use functions for data manipulation and calculations.
• Master the technique of writing efficient sub-queries for advanced data filtering and processing
• Build confidence in applying Oracle SQL in practical scenarios, thereby improving career opportunities in database management and development.

This two-day course provides an introduction to SQL Developer, SQL*Plus, and SQL (Structured Query Language), the standard language for accessing relational databases. It also covers the new features of the latest ORACLE version. The principles learned can be applied to diverse databases such as Microsoft SQL Server, MySQL, Access, Informix, and DB2.

The course is structured as a workshop, combining lectures, practical examples, and hands-on exercises. Although the content can be customized, at least two days are required to cover the core elements.

Participants receive full course notes along with sample database files, example SQL files, and free software tools for accessing an ORACLE database.

This course is designed to provide a comprehensive understanding of SQL utilization across various database platforms, including Oracle, SQL Server, and MS Access. By mastering analytic functions and techniques for joining tables within a database, participants will learn to shift data analysis operations from MS Excel directly to the database layer. This approach not only streamlines analysis but also supports the development of any IT system relying on relational databases.

SQL serves as the standard language for accessing and managing databases.

This instructor-led live training, available online or onsite, is designed for beginners who want to learn how to query and report using SQL.

Upon completion of this training, participants will be able to:

• Comprehend the architecture of relational databases.
• Compose fundamental SQL statements to retrieve, filter, and sort data.
• Apply aggregate functions to summarize information.
• Execute basic joins across multiple tables.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request tailored training for this course, please contact us to make arrangements.

This instructor-led, live training in Serbia (online or onsite) is tailored for data analysts, database professionals, and software developers at the beginner to intermediate level who wish to learn SQL for effective database management.

By the conclusion of this training, participants will be able to:

• Understand and apply fundamental SQL commands and queries.
• Create and manipulate tables and databases.
• Use SQL to sort, filter, and summarize data.
• Implement complex operations such as joins, subqueries, and set operations.
• Apply intermediate techniques including indexes, views, stored procedures, and triggers.

This instructor-led live training, available online or onsite, is designed for software developers, managers, and business analysts who want to leverage big data systems to store and retrieve large volumes of data.

Upon completing this training, participants will be able to:

• Efficiently query large datasets.
• Understand how big data systems store and retrieve information.
• Utilize the latest big data systems available.
• Transform data from various systems into reporting platforms.
• Write SQL queries in the following environments:
  • MySQL
  • Postgres
  • Hive Query Language (HiveQL/HQL)
  • Redshift

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Customization Options

• To request customized training for this course, please contact us to make arrangements.

SQL serves as a standardized language for querying, manipulating, and managing data within relational database systems.

This instructor-led, live training (available online or onsite) is designed for users ranging from beginners to advanced practitioners who aim to build efficient SQL queries and work confidently with relational databases.

Upon completing this training, participants will acquire the following skills:

• Crafting SQL queries to retrieve, filter, and sort data.
• Manipulating data through insert, update, and delete operations.
• Creating joins, subqueries, and aggregated reports.
• Applying advanced SQL techniques for real-world data analysis.

Course Format

• Instructor-led lectures paired with guided discussions.
• Hands-on query construction and practical exercises.
• Live-lab demonstrations utilizing real datasets.

Customization Options

• For a customized SQL program tailored to your organization, please contact us to make arrangements.

This SQL training program is designed for individuals seeking to acquire the essential skills needed to extract, analyze data from various databases, and generate reports. Participants will learn:

• how to construct SQL queries
• the concept of relational databases and how they can be utilized effectively
• what relations are and how to establish them
• the underlying structure of data
• key differences between SQL dialects (Oracle, T-SQL, ANSI)
• practical techniques for writing efficient queries

The course focuses on generic ANSI SQL, which is compatible with any relational database system, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and others.