PostgreSQL Training in Oslo

PostgresAI is a platform designed to allow database teams to clone, test, and optimize PostgreSQL environments through AI-driven automation.

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

Upon completing this training, participants will be able to:

• Deploy and configure PostgresAI within enterprise environments.
• Integrate PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Use AI-driven insights to optimize queries and tune performance.
• Establish governance, auditing, and data privacy controls for cloned environments.

Format of the Course

• Interactive lecture and discussion.
• Extensive 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, a robust open-source relational database, can be significantly enhanced with AI capabilities to deliver enterprise data intelligence, predictive analytics, and automation.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced data engineers, DBAs, and solution architects aiming 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 functionalities directly into PostgreSQL.
• Deploy AI-optimized architectures tailored for high-volume enterprise workloads.
• Implement robust governance, auditing, and compliance measures for AI data pipelines.
• Securely utilize both open-source and proprietary AI frameworks within PostgreSQL environments.

Course Format

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

PostgreSQL, a sophisticated open-source relational database, serves as a robust foundation for AI-powered systems and data intelligence applications.

This instructor-led live training, available both online and on-site, is designed for intermediate database professionals and developers seeking to integrate, manage, and optimize AI capabilities directly within PostgreSQL.

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

• Set up and configure PostgreSQL extensions tailored for AI workloads.
• Implement embeddings and perform similarity searches using pgvector.
• Integrate both open-source and proprietary Large Language Models (LLMs) with PostgreSQL to gain real-time insights.
• Optimize PostgreSQL for handling AI-driven queries and workflows effectively.

Course Format

• Engaging interactive lectures and discussions.
• Ample exercises and practical practice sessions.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• For personalized training arrangements, please get in touch with us.

This instructor-led, live training in Oslo (online or onsite) is designed for beginner-level professionals looking to master PostgreSQL for creating databases, writing SQL queries, manipulating data, and managing tables using both SQL commands and PGAdmin. The course also offers a basic introduction to the Timescale extension for handling time-series data.

Upon completing this training, participants will be able to:

• Grasp the principles of relational databases and the architecture of PostgreSQL.
• Install, configure, and navigate PostgreSQL and PGAdmin.
• 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 Oslo (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 thorough understanding of performance tuning, database replication, and connection pooling. This course provides comprehensive coverage of server administration, core SQL principles, client interfaces, server-side programming, and database internals. Through practical, hands-on training, database administrators and developers will gain the skills necessary to optimize query execution, manage backup procedures, configure monitoring systems, and establish robust, enterprise-grade PostgreSQL configurations.

This program focuses on programmatically interacting with PostgreSQL databases. It covers the essential techniques, syntaxes, and structures required to build high-quality applications with a PostgreSQL backend. Additionally, the training includes SQL Tuning, highlighting best practices for writing efficient SQL queries.

This course is designed for developers looking to use or extend PostgreSQL, as well as database architects.

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

You will gain comprehensive knowledge of PostgreSQL architecture, installation procedures, design principles, and methods for performing database backups and recovery.

In this instructor-led live training in Oslo (on-site or remote), participants will explore the general and advanced aspects of PostgreSQL, including administration, performance tuning, advanced development, and replication. The learning process involves hands-on, live-lab exercises that cover setup, configuration, testing, deployment, and troubleshooting.

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

• Utilize 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 course is tailored for Database Administrators and Architects seeking to optimize PostgreSQL databases for peak performance. Participants will learn techniques for logging slow workloads and identifying potential bottlenecks within queries. The curriculum also addresses the critical configuration parameters that must be adjusted to achieve optimal performance.

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

Deploying PostgreSQL with zero downtime requires expertise in 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. Participants will learn to deploy pgpool-II for connection pooling, establish automated high availability setups, and ensure production-grade database reliability for critical enterprise environments that support high-traffic business applications.

This instructor-led live training in Oslo (online or onsite) is designed for database admins and sysadmins aiming to utilize PostgreSQL for managing large-scale data while optimizing database systems for high availability and performance.

By the conclusion 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 fundamental PostgreSQL server extensions and libraries utilized to incorporate artificial intelligence capabilities into database environments. Key topics include similarity and semantic search leveraging embedding vectors, Text-to-SQL query generation, and Retrieval-Augmented Generation (RAG). Participants will learn to install PgVector and PgAI, create and load vector embeddings, construct vector indexes, implement semantic search and RAG workflows, and develop Text-to-SQL applications using LangChain with Python or JavaScript. Through demonstrations and hands-on exercises, the core concepts and practical competencies are reinforced.

This practical course concentrates on the hands-on aspects of tuning PostgreSQL performance. Participants will gain skills in analysing query execution, optimising indexing strategies, configuring memory and system settings, and effectively monitoring workloads. Through real-world case studies and live exercises, the training demonstrates how to pinpoint and resolve performance bottlenecks at both the database and infrastructure levels.

This course offers comprehensive insights into replication, high availability, and cluster management within PostgreSQL. Participants will gain hands-on experience building and managing multi-node environments, configuring automated failover processes, and exploring solutions for load balancing and connection pooling. The curriculum features practical replication labs and recovery simulations to reinforce learning.

This intensive one-day hands-on course centres on the design and implementation of distributed databases using the Citus extension for PostgreSQL.
Participants will learn to shard large datasets, manage distributed queries, and construct scalable, fault-tolerant PostgreSQL clusters.
Real-world examples and practical labs illustrate performance tuning, replication integration, and distributed workload management.