PostgreSQL Training in Bratislava

PostgresAI is a platform that empowers database teams to clone, test, and optimize PostgreSQL environments through AI-driven automation.

This instructor-led, live training (available online or onsite) targets advanced-level DevOps professionals and database engineers looking to implement PostgresAI at an enterprise scale for database monitoring, cloning, and AI-powered optimization.

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

• Deploy and configure PostgresAI within enterprise environments.
• Integrate PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Utilize AI-driven insights for query optimization and performance tuning.
• Implement governance, auditing, and data privacy controls for cloned environments.

Format of the Course

• Interactive lecture and discussion.
• Numerous 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.

PostgreSQL is a robust, open-source relational database system that can be augmented with artificial intelligence capabilities to enable enterprise data intelligence, predictive analytics, and automated processes.

This instructor-led live training, available both online and onsite, targets intermediate to advanced data engineers, DBAs, and solution architects who aim to design, implement, and govern enterprise-grade AI systems leveraging PostgreSQL.

Upon completion of this program, participants will acquire the expertise to:

• Integrate AI models and vector search functionalities directly into PostgreSQL.
• Deploy AI-optimized architectures tailored for high-volume enterprise workloads.
• Establish robust governance, auditing, and compliance measures for AI data pipelines.
• Securely utilize both open-source and proprietary AI frameworks within PostgreSQL environments.

Format of the Course

• Interactive lectures and enterprise case discussions.
• Practical exercises and real-world labs.
• Hands-on implementation in a live PostgreSQL environment.

Course Customization Options

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

PostgreSQL is a sophisticated open-source relational database that can serve as a cornerstone for AI-powered systems and data intelligence applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level database professionals and developers who wish to integrate, manage, and optimize AI capabilities directly within PostgreSQL.

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

• Set up and configure PostgreSQL extensions for AI workloads.
• Implement embeddings and similarity search using pgvector.
• Integrate open source and proprietary LLMs with PostgreSQL for real-time insights.
• Optimize PostgreSQL for handling AI-driven queries and workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of 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 instructor-led live training in Bratislava (online or onsite) is designed for beginner-level professionals seeking to learn how to use PostgreSQL for creating databases, writing SQL queries, manipulating data, and managing tables via both SQL commands and PGAdmin. The course also provides a basic introduction to the Timescale extension for time-series data.

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

• Understand relational database principles and PostgreSQL architecture.
• Install, configure, and navigate PostgreSQL and PGAdmin.
• Write and run SQL queries for data selection, filtering, grouping, and joining.
• Manipulate data with SQL statements and manage database objects.
• Create and manage views and explore PostgreSQL extensions like Timescale.

This instructor-led, live training in Bratislava (online or onsite) is designed for intermediate-level developers and administrators seeking to harness the latest features and enhancements in PostgreSQL 16.

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

• Comprehend the architecture and core components of PostgreSQL 16.
• Leverage advanced SQL capabilities and PostgreSQL extensions.
• Apply security best practices and manage access controls.
• Execute database administration tasks, including backup, recovery, and monitoring.
• Enhance database performance through tuning and indexing strategies.
• Utilize PostgreSQL's native tools for high availability and replication.
• Integrate PostgreSQL with contemporary application development frameworks.

Effectively managing and developing PostgreSQL databases demands a profound understanding of performance optimization, database replication strategies, and connection pooling techniques. This comprehensive course addresses server administration, core SQL concepts, client-side interfaces, server-side programming methodologies, and the inner workings of the database. Through practical, hands-on training, Database Administrators (DBAs) and developers will acquire the skills necessary to optimize query performance, manage backup procedures, configure monitoring systems, and establish robust, production-ready configurations for enterprise-level PostgreSQL environments.

This program offers an in-depth look at programmatically interacting with PostgreSQL databases. Participants will acquire the essential techniques, syntaxes, and structural knowledge required to build robust applications leveraging a PostgreSQL backend. The curriculum also includes SQL Tuning, emphasizing best practices for crafting highly efficient SQL code.

The ideal audience comprises developers aiming to utilize or extend PostgreSQL capabilities, as well as database architects.

This training is tailored for Database Administrators and Architects seeking to master PostgreSQL from the ground up.

Participants will gain comprehensive knowledge of PostgreSQL architecture, installation procedures, design principles, and techniques for performing database backups and recovery.

In this instructor-led live training held in Bratislava (onsite or remote), participants will explore the general and advanced aspects of PostgreSQL. The curriculum covers administration, performance tuning, advanced development, and replication, guided by hands-on, live-lab exercises that involve setup, configuration, testing, deployment, and troubleshooting.

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

• Utilize advanced administration techniques to configure and manage a PostgreSQL server.
• Optimize the database and queries for peak performance.
• Replicate and scale a PostgreSQL server.

This course is tailored for Database Administrators and Architects seeking to optimize PostgreSQL performance. Participants will learn how to capture slow query logs and identify potential bottlenecks within queries. Additionally, the curriculum addresses the critical configuration parameters essential for achieving optimal performance.

This course is tailored for Database Administrators and Architects aiming to master the tools and techniques for implementing Backups, High Availability, and Database Security in PostgreSQL.
Participants will also learn how to identify slow queries, monitor database performance, and optimize PostgreSQL for maximum efficiency.

Ensuring PostgreSQL deployments run with zero downtime requires specialized knowledge of Streaming Replication and automated failover management. This course explores synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and the monitoring of streaming configurations. Participants will learn to deploy pgpool-II for connection pooling, automate high availability setups, and establish production-grade database reliability essential for critical enterprise environments supporting high-traffic business applications.

This instructor-led, live training in Bratislava (online or onsite) is aimed at database admins and sysadmins who wish to use PostgreSQL to manage large-scale data while optimizing the database systems for high availability and performance.

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

• Install and configure PostgreSQL.
• Understand the features and architecture of PostgreSQL.
• Learn how to perform database operations with SQL.
• Perform database backup and recovery to prevent data loss.
• Configure the server for high availability.
• Learn the tools and techniques for high performance tuning.
• Explore the external tools for monitoring and observability.

This course explores the core concepts of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence into database systems. Key topics include similarity and semantic search using embedding vectors, Text-to-SQL query generation, and Retrieval-Augmented Generation (RAG). Participants will learn how to install PgVector and PgAI, generate and load vector embeddings, build vector indexes, implement semantic search and RAG workflows, and develop Text-to-SQL applications using LangChain with Python or JavaScript. Practical demonstrations and hands-on exercises reinforce these fundamental concepts and technical skills.

This practical course concentrates on the hands-on techniques for tuning PostgreSQL performance. Attendees will acquire skills in analyzing query execution, optimizing index strategies, configuring memory and system settings, and effectively tracking workloads. Through real-world case studies and interactive exercises, participants will learn to pinpoint and eliminate performance bottlenecks at both the database and infrastructure levels.

This course offers a comprehensive exploration of replication, high availability, and cluster management within PostgreSQL. Participants will learn to construct and oversee multi-node environments, set up automated failover mechanisms, and investigate solutions for load balancing and connection pooling. The curriculum features hands-on replication labs and recovery simulations.

This immersive, one-day practical course centers on the design and implementation of distributed databases utilizing the Citus extension for PostgreSQL.
Participants will acquire skills in sharding extensive datasets, handling distributed queries, and constructing scalable, fault-tolerant PostgreSQL clusters.
Through real-world examples and hands-on labs, the course covers performance tuning, replication integration, and the management of distributed workloads.