PostgreSQL Training in Prague

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

This instructor-led, live training (online or onsite) is aimed at advanced-level DevOps professionals and database engineers who wish to implement PostgresAI at enterprise scale for database monitoring, cloning, and AI-driven optimization.

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

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

Course Format

• Interactive lecture and discussion.
• Numerous exercises and practice opportunities.
• 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 that can be augmented with AI capabilities to enhance enterprise data intelligence, predictive analytics, and automation.

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

Upon completing this program, participants will acquire the expertise to:

• Integrate AI models and vector search capabilities directly into PostgreSQL.
• Deploy AI-optimized architectures designed for high-volume enterprise workloads.
• Establish robust governance, auditing, and compliance frameworks for AI data pipelines.
• Securely leverage 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.

Postgres is an advanced open-source relational database that can serve as a foundation 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 Postgres.

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

• Set up and configure Postgres extensions for AI workloads.
• Implement embeddings and similarity search using pgvector.
• Integrate open source and proprietary LLMs with Postgres for real-time insights.
• Optimize Postgres 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 Prague (online or onsite) is aimed at beginner-level professionals who wish to learn how to use PostgreSQL for creating databases, writing SQL queries, manipulating data, and managing tables using 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 Prague (online or onsite) is aimed at intermediate-level developers and administrators who wish to leverage the latest features and improvements in PostgreSQL 16.

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

• Grasp the architecture and components of PostgreSQL 16.
• Exploit advanced SQL capabilities and PostgreSQL extensions.
• Apply security best practices and access controls.
• Execute database administration duties, encompassing backup, recovery, and monitoring.
• Enhance database performance via tuning and indexing strategies.
• Make use of PostgreSQL's native tools for high availability and replication.
• Integrate PostgreSQL with contemporary application development frameworks.

Effectively managing and developing PostgreSQL databases demands a thorough understanding of performance tuning, data replication strategies, and connection pooling mechanisms. This comprehensive course addresses server administration, core SQL concepts, client connectivity options, server-side scripting capabilities, and the internal architecture of the database. Through practical, hands-on training, database administrators and developers will gain the skills necessary to optimize query performance, oversee backup procedures, establish effective monitoring systems, and construct resilient, enterprise-ready PostgreSQL environments.

This course teaches how to programmatically interact with PostgreSQL databases. It covers the techniques, syntax, and structures required to build high-quality applications using a PostgreSQL backend. The training also includes SQL Tuning, focusing on best practices for writing efficient SQL code.

The intended audience consists of developers who wish to utilize or extend PostgreSQL, 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, and design principles, along with techniques for performing database backups and recovery.

In this instructor-led, live training at Prague (onsite or remote), participants will explore the general and advanced aspects of PostgreSQL, including administration, performance tuning, advanced development, and replication. The course includes a series of hands-on, live-lab exercises covering setup, configuration, testing, deployment, and troubleshooting.

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

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

Designed for Database Administrators and Architects seeking to enhance PostgreSQL performance, this training guides you through logging slow workloads and identifying query bottlenecks. Additionally, it covers the critical parameters that must be adjusted to achieve optimal performance.

This course is tailored for Database Administrators and Architects seeking to master the tools and techniques required for implementing Backups, High Availability, and Database Security within PostgreSQL.
Participants will also gain the skills to identify slow queries, monitor database performance, and optimize PostgreSQL for enhanced speed and efficiency.

Ensuring zero-downtime PostgreSQL deployments requires expert knowledge of Streaming Replication and automated failover management. This course addresses synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and the monitoring of streaming configurations. You will learn to deploy pgpool-II for connection pooling, automated high availability setup, and production-grade database reliability, tailored for critical enterprise environments serving high-traffic business applications.

This instructor-led, live training in Prague (online or onsite) is intended for database and system administrators who want to leverage PostgreSQL to manage large-scale data while optimizing database systems for high availability and peak performance.

Upon completing this training, participants will be able to:

• Install and configure PostgreSQL.
• Understand the features and architecture of PostgreSQL.
• Perform database operations using SQL.
• Execute database backup and recovery procedures to prevent data loss.
• Configure the server for high availability.
• Apply tools and techniques for high-performance tuning.
• Explore external tools for monitoring and observability.

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence into database systems. Key topics include similarity and semantic search utilizing embedding vectors, Text-to-SQL query capabilities, and Retrieval-Augmented Generation (RAG). Participants will learn to install PgVector and PgAI, as well as generate and load vector embeddings, establish vector indexes, implement semantic search and RAG workflows, and develop Text-to-SQL applications using LangChain with Python or JavaScript. Through live demonstrations and hands-on exercises, the course reinforces core concepts and practical skills.

This practical course centres on the real-world aspects of performance tuning within PostgreSQL. Attendees will acquire skills in analysing query execution, optimising indexing strategies, configuring memory and system parameters, and effectively monitoring workloads. Through real-world scenarios and live exercises, participants will learn to identify and resolve bottlenecks at both the database and infrastructure levels.

This program offers comprehensive instruction on replication, high availability, and cluster management within PostgreSQL. Students will learn to construct and administer multi-node systems, set up automated failover mechanisms, and investigate options for load balancing and connection pooling. The curriculum features hands-on replication exercises and disaster recovery drills.

This immersive one-day practical course centres on the design and implementation of distributed database systems using the Citus extension for PostgreSQL.
Attendees will acquire the skills to partition large datasets, handle distributed queries, and construct scalable, fault-tolerant PostgreSQL clusters.
Through real-world case studies and hands-on labs, participants will explore performance tuning, replication integration, and the management of distributed workloads.