SQL Intermediate to 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.

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

This course is dedicated to users, programmers, or administrators who already have some knowledge of working with Oracle databases and want to deepen and systematize it. It acts as a complement to the ORA_S1 training course.

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

• Gain skills to efficiently store and process data using SQL, introducing knowledge of optimization, analysis, and various methods of data extraction. At the same time, it will provide knowledge of the database architecture and its advanced capabilities to create effective applications.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

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.

SQL serves as a potent tool for managing and analyzing structured data within relational databases.

This instructor-led live training, available either online or onsite, is designed for intermediate-level users looking to enhance their SQL capabilities in areas such as complex querying, data manipulation, and performance optimization.

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

• Construct complex SQL queries utilizing advanced joins and subqueries.
• Perform data manipulation through the use of INSERT, UPDATE, and DELETE commands.
• Apply window functions to facilitate advanced analytics.
• Optimize queries to achieve improved performance.

Course Format

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

Customization Options

• For those seeking a tailored training experience, please reach out to us to make the necessary arrangements.

Writing efficient SQL queries against Microsoft SQL Server builds the foundation behind every enterprise data pipeline. Explores core techniques starting with relational database models, then progresses through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. Guides participants through multi-table joins, set operators, DML operations, and transaction control to extract and manipulate business intelligence datasets reliably.

This instructor-led live training, available online or onsite, is tailored for data scientists and developers who aim to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization.

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

• Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
• Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
• Get a refresher on the fundamentals of Python and SQL.
• Perform data pre-processing techniques in Python.
• Learn how to connect Python and SQL for data analysis.
• Create insightful data visualizations and charts with Tableau.

Participants will gain a comprehensive understanding of the more advanced capabilities of Transact SQL, along with the ability to perform the following tasks:

• Utilize queries to retrieve complex result sets
• Manage database objects to enhance query performance
• Optimize queries for greater efficiency

This course is designed for professionals who currently use Transact SQL to extract data from a Microsoft SQL Server database and wish to expand their expertise, particularly in data analysis and improving query speed.