PostgreSQL Training in Stockholm

This live, instructor-led training in Stockholm is designed to equip advanced DevOps professionals and database engineers with the skills to implement PostgresAI at enterprise scale. Through hands-on exercises in a live-lab setting, participants will gain mastery over database cloning, AI-driven query optimization, and comprehensive monitoring capabilities.

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

Gain mastery over AI integration in Postgres through this live, instructor-led training in Stockholm. Learn to configure necessary extensions, implement pgvector embeddings, and connect LLMs for immediate insights. Enhance query performance and build intelligent systems within a hands-on live-lab environment.

This instructor-led live training in Stockholm (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 Stockholm (online or onsite) is designed for intermediate developers and administrators who want to capitalize on the newest features and improvements in PostgreSQL 16.

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

• Grasp the architecture and core components of PostgreSQL 16.
• Leverage advanced SQL capabilities and PostgreSQL extensions.
• Apply security best practices and configure access controls.
• Execute essential database administration tasks, including backup, recovery, and monitoring.
• Enhance database performance through effective tuning and indexing strategies.
• Utilize PostgreSQL’s native tools to ensure high availability and replication.
• Seamlessly integrate PostgreSQL with contemporary application development frameworks.

This course equips you with the core skills needed to successfully install, configure, and oversee PostgreSQL databases. You will gain proficiency in managing user security, executing backups and restorations, handling logs, and optimizing fundamental parameters. By engaging in hands-on exercises, you will apply real-world administrative techniques and build a strong foundation for advanced concepts such as performance tuning and replication.

Through this instructor-led live training in Stockholm (onsite or remotely), participants will gain insights into both fundamental and advanced PostgreSQL concepts. This includes administration, performance tuning, advanced development techniques, and replication. The curriculum involves a series of practical, live laboratory exercises covering setup, configuration, testing, deployment, and troubleshooting.

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

• Apply advanced administration techniques to configure and manage a PostgreSQL server.
• Optimize the database and its queries to achieve maximum performance.
• Implement replication and scaling strategies for a PostgreSQL server.

This instructor-led, live training in Stockholm (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 essentials of PostgreSQL server extensions and libraries designed to incorporate AI capabilities into database systems. Key topics include similarity and semantic search using embedding vectors, Text-to-SQL querying, 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 workflows, and develop Text-to-SQL applications with LangChain using Python or JavaScript. Through demonstrations and hands-on practice, learners reinforce core concepts and acquire practical skills.

This module explores the essential PostgreSQL server extensions that enable the integration of AI capabilities into database systems. It places particular emphasis on similarity and semantic search using embedding vectors. Learners will master the process of installing PgVector, generating and loading vector embeddings, building vector indexes, and implementing semantic search functionalities. Practical insights are reinforced through interactive demonstrations and hands-on lab work.

This practical course is designed to equip participants with the skills needed for effective performance tuning in PostgreSQL. Learners will explore query execution analysis, index optimization, memory and system parameter adjustments, and efficient workload monitoring. Through real-world case studies and live exercises, the course illustrates how to pinpoint and address performance bottlenecks at both the database and system layers.

This course delivers an in-depth examination of replication, high availability, and cluster management in PostgreSQL. It guides participants in building and managing multi-node setups, configuring automated failover, and exploring solutions for load balancing and connection pooling. The program includes hands-on replication exercises and recovery simulations.

This focused, one-day practical session explores the design and deployment of distributed databases leveraging the Citus extension for PostgreSQL.
Learners are guided through the processes of sharding extensive datasets, overseeing distributed queries, and constructing resilient, scalable PostgreSQL clusters.
Through real-world scenarios and hands-on labs, the course highlights performance tuning, replication integration, and the management of distributed workloads.