PostgreSQL Training in Nijmegen

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.

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.

PostgreSQL stands as a robust, open-source relational database, which can be significantly enhanced with artificial intelligence capabilities to drive enterprise data intelligence, predictive analytics, and process automation.

This live training, led by an expert instructor and available online or on-site, is designed for intermediate to advanced data engineers, database administrators (DBAs), and solution architects. Participants will learn to design, implement, and govern enterprise-grade AI systems built upon PostgreSQL.

Upon completing 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 comprehensive governance, auditing, and compliance frameworks for AI data pipelines.
• Securely leverage both open-source and proprietary AI frameworks within PostgreSQL environments.

Course Format

• Interactive lectures accompanied by enterprise-focused case studies.
• Practical exercises and real-world laboratory sessions.
• Hands-on implementation within a live PostgreSQL environment.

Course Customization Options

• For customized training arrangements, please contact us.

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 Nijmegen (online or on-site) targets beginner-level professionals eager to master PostgreSQL. Participants will learn to create databases, write SQL queries, manipulate data, and manage tables using both SQL commands and PGAdmin. The course also offers a foundational introduction to the Timescale extension for handling time-series data.

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

• Grasp relational database principles and understand PostgreSQL architecture.
• Install, configure, and navigate PostgreSQL and PGAdmin effectively.
• Write and execute SQL queries for data selection, filtering, grouping, and joining.
• Manipulate data using SQL statements and manage database objects.
• Create and manage views, and explore PostgreSQL extensions such as Timescale.

This instructor-led, live training in Nijmegen (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:

• Understand the architecture and components of PostgreSQL 16.
• Utilize advanced SQL features and PostgreSQL extensions.
• Implement security best practices and access controls.
• Perform database administration tasks, including backup, recovery, and monitoring.
• Optimize database performance through tuning and indexing strategies.
• Utilize PostgreSQL's built-in tools for high availability and replication.
• Integrate PostgreSQL with modern application development frameworks.

Effectively managing and developing PostgreSQL databases demands a profound understanding of performance tuning, database replication strategies, and connection pooling techniques. This program provides comprehensive coverage of server administration, core SQL principles, client-side interfaces, server-side scripting, and the internal architecture of databases. Through practical, hands-on training, database administrators and developers will learn to optimize query execution, manage backup procedures, configure monitoring systems, and establish robust, production-ready configurations tailored for enterprise-level PostgreSQL environments.

This course explores programmatic interaction with PostgreSQL databases. Participants will master the techniques, syntaxes, and structures required to build high-quality applications backed by PostgreSQL. The training also includes SQL Tuning, focusing on best practices for writing efficient SQL queries.

The target audience comprises developers who wish to utilize or extend PostgreSQL functionality, as well as database architects.

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

Participants will gain a comprehensive understanding of PostgreSQL's architecture, installation procedures, and design principles, alongside essential skills for performing database backups and recovery operations.

In this instructor-led, live training session (Nijmegen provided onsite or remotely), participants will explore the core and advanced features of PostgreSQL. The curriculum includes administration, performance tuning, advanced development, and replication, delivered through a series of hands-on, live laboratory exercises focused on setup, configuration, testing, deployment, and troubleshooting.

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

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

This course is tailored for Database Administrators and Architects seeking to enhance PostgreSQL performance. Participants will learn to identify slow queries and pinpoint potential bottlenecks, alongside mastering the key configuration parameters essential for achieving optimal system performance.

This course is tailored for Database Administrators and Architects aiming to master the tools and methodologies required for implementing backups, high availability, and security within PostgreSQL.
Participants will also gain insights into identifying slow queries, monitoring database performance, and optimizing PostgreSQL for enhanced efficiency.

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

This instructor-led, live training in Nijmegen (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 principles of PostgreSQL server extensions and libraries designed to integrate artificial intelligence into database systems. Key topics include semantic search using embedding vectors, Text-to-SQL queries, and Retrieval-Augmented Generation (RAG). Participants will learn how to install PgVector and PgAI, generate and load vector embeddings, create vector indexes, implement semantic search and RAG functionalities, and build Text-to-SQL applications with LangChain using Python or JavaScript. Practical demonstrations and hands-on exercises support the mastery of these essential concepts and skills.

This practical course concentrates on the real-world application of performance tuning in PostgreSQL. Participants will acquire the skills to analyze query execution, optimize indexing strategies, configure memory and system parameters, and monitor workloads efficiently. Through real-world scenarios and live exercises, attendees will learn how to identify and resolve bottlenecks at both the database and system levels.

This course delivers an in-depth exploration of replication, high availability, and cluster management within PostgreSQL. Participants will learn to build and administer multi-node environments, set up automated failover, and evaluate load balancing and connection pooling strategies. The curriculum features hands-on replication labs and recovery simulation exercises.

This intensive one-day practical course concentrates on the design and implementation of distributed databases using the Citus extension for PostgreSQL.
Participants will gain skills in sharding large datasets, managing distributed queries, and constructing scalable, fault-tolerant PostgreSQL clusters.
Through real-world examples and hands-on labs, attendees will explore performance tuning, replication integration, and the management of distributed workloads.