PostgreSQL Training in Prague

This instructor-led, live training in Prague empowers advanced DevOps professionals and database engineers to implement PostgresAI at an enterprise scale. Participants will gain mastery in database cloning, AI-driven query optimization, and monitoring through hands-on exercises within a live-lab environment.

This 21-hour instructor-led training in Prague assists data engineers and DBAs in integrating AI models into PostgreSQL. Participants learn to deploy optimized architectures, implement vector search, and enforce strict governance, ensuring secure and high-performance enterprise-grade AI solutions.

Gain mastery over AI integration in Postgres through this instructor-led live training in Prague. Learn to configure extensions, implement pgvector embeddings, and connect LLMs for instant insights. Optimize queries and build intelligent systems through hands-on activities in a live-lab setting.

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.

This curriculum delivers the foundational expertise necessary to successfully deploy, configure, and administer PostgreSQL databases. Learners will discover methods for controlling user security, conducting backup and recovery operations, handling logs, and fine-tuning initial parameters. Via practical demonstrations, students will carry out authentic administrative duties and lay the groundwork for more complex areas such as performance tuning and replication.

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.

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 module explores the core functionality of PostgreSQL server extensions designed to embed AI capabilities directly into database environments, with a specific focus on similarity and semantic search driven by vector embeddings. Participants will develop the proficiency needed to deploy PgVector, process and ingest vector embeddings, construct optimized vector indexes, and build functional semantic search solutions. The learning experience is anchored in live demonstrations and practical exercises, ensuring a deep understanding of both theoretical principles and hands-on implementation.

This practical course is dedicated to the real-world application of performance tuning in PostgreSQL. Learners will acquire the skills to dissect query execution, refine indexing strategies, fine-tune memory and system settings, and effectively oversee workloads. Through practical exercises and real-world case studies, the course illustrates how to pinpoint and eliminate bottlenecks across both the database and system architectures.

This course delivers a deep dive into replication, high availability, and cluster management in PostgreSQL. It enables participants to develop and manage multi-node setups, implement failover automation, and assess load balancing and connection pooling options. The program incorporates live replication exercises and recovery drills.

This intensive one-day practical course concentrates on the design and deployment of distributed databases leveraging the Citus extension for PostgreSQL.
Attendees will acquire the skills necessary to shard extensive datasets, oversee distributed queries, and construct scalable, fault-tolerant PostgreSQL clusters.
Through real-world scenarios and hands-on labs, participants will explore performance tuning, replication integration, and the management of distributed workloads