PostgreSQL Training in Örebro

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 is a robust, open-source relational database that can be significantly enhanced with AI capabilities to support 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 who aim to design, implement, and govern enterprise-grade AI systems leveraging PostgreSQL.

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

• Seamlessly integrate AI models and vector search capabilities directly into PostgreSQL.
• Deploy AI-optimized architectures tailored for high-volume enterprise workloads.
• Establish robust governance, auditing, and compliance frameworks for AI data pipelines.
• Utilize both open-source and proprietary AI frameworks securely within PostgreSQL environments.

Course Format

• Interactive lectures combined with enterprise case study discussions.
• Practical exercises and real-world laboratory sessions.
• Hands-on implementation within a live PostgreSQL environment.

Course Customization Options

• For customized training requests, please contact us to arrange suitable options.

Postgres is a sophisticated open-source relational database that serves as a robust foundation for AI-driven systems and data intelligence applications.

This instructor-led, live training (available online or onsite) is designed for intermediate-level database professionals and developers looking 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 specifically for AI workloads.
• Implement embeddings and perform similarity searches using pgvector.
• Integrate both open-source and proprietary LLMs with Postgres to gain real-time insights.
• Optimize Postgres to efficiently handle AI-driven queries and workflows.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Course Customization Options

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

This instructor-led live training in Örebro (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 Örebro (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.

Effectively managing and developing PostgreSQL databases demands a profound understanding of performance optimization, database replication, and connection pooling. This course delves into server administration, SQL fundamentals, client interfaces, server-side programming, and the intricate internals of the database. Through practical, hands-on training, DBAs and developers gain the skills to optimize query execution, manage backups, configure monitoring systems, and establish robust, production-ready configurations tailored for enterprise-level PostgreSQL environments.

This course explores programmatic interaction with PostgreSQL databases. You will acquire the techniques, syntax, and structural knowledge required to build high-quality applications backed by PostgreSQL. The training also addresses SQL Tuning, presenting best practices for crafting efficient SQL code.

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

This training is intended for Database Administrators and Architects who wish to gain a foundational understanding of PostgreSQL.

Participants will cover PostgreSQL architecture, installation procedures, design principles, and techniques for performing backup and recovery operations on PostgreSQL databases.

Through this instructor-led live training in Örebro (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 training is tailored for Database Administrators and Architects aiming to optimize PostgreSQL for peak performance. You will learn how to log slow queries and identify potential bottlenecks. The course also addresses 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 methodologies for implementing Backups, High Availability, and Database Security within PostgreSQL.
Participants will also gain skills in identifying slow queries, monitoring database performance, and optimizing PostgreSQL settings for enhanced efficiency.

Ensuring zero-downtime PostgreSQL deployments requires expertise in Streaming Replication and automated failover management. This course delves into synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and the monitoring of streaming configurations. You will learn how to deploy pgpool-II for connection pooling, establish automated high availability, and achieve production-grade database reliability for critical enterprise environments supporting high-traffic business applications.

This instructor-led, live training in Örebro (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 practical course concentrates on the hands-on techniques for tuning PostgreSQL performance. Students will acquire the skills to examine query execution, refine indexing strategies, configure memory and system settings, and track workloads efficiently. Through real-life cases and interactive exercises, learners will see how to detect and fix bottlenecks at both the database and system levels.

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

This intensive, one-day practical course focuses on the design and implementation of distributed database systems using the Citus extension for PostgreSQL.
Participants will learn how to shard large datasets, manage distributed queries, and construct scalable, fault-tolerant PostgreSQL clusters.
Through real-world examples and hands-on labs, attendees will explore performance tuning, replication integration, and distributed workload management.