PostgreSQL Training in Copenhagen

This live, instructor-led training held in Copenhagen provides advanced DevOps professionals and database engineers with the skills to implement PostgresAI at scale. Through hands-on exercises in a live-lab environment, participants will gain mastery in database cloning, AI-driven query optimization, and comprehensive monitoring.

This 21-hour instructor-led training in Copenhagen empowers data engineers and DBAs to seamlessly integrate AI models into PostgreSQL. Participants will learn to deploy optimized architectures, implement vector search, and enforce strict governance, ensuring the delivery of secure and high-performance enterprise-grade AI solutions.

Gain proficiency in AI integration with Postgres through this instructor-led live training in Copenhagen. Configure extensions, deploy pgvector embeddings, and connect LLMs for instant insights. Optimize query performance and develop intelligent systems within a hands-on live-lab setting.

This instructor-led live training in Copenhagen (delivered online or onsite) is tailored for entry-level professionals seeking to master the use of PostgreSQL for building databases, crafting SQL queries, and managing data and tables via SQL commands and PGAdmin. The curriculum also includes a fundamental introduction to the Timescale extension for processing time-series data.

By the end of the program, participants will be able to:

• Comprehend relational database principles and the PostgreSQL architecture.
• Set up, configure, and operate PostgreSQL and PGAdmin.
• Formulate and run SQL queries to select, filter, group, and join data.
• Manage data manipulation using SQL statements and oversee database objects.
• Develop and control views while delving into PostgreSQL extensions like Timescale.

This live, instructor-led training conducted in Copenhagen (either online or onsite) is tailored for intermediate-level developers and administrators looking to exploit the latest capabilities and improvements found in PostgreSQL 16.

By the conclusion of this training, participants will be equipped to:

• Comprehend the architecture and components of PostgreSQL 16.
• Employ advanced SQL features and PostgreSQL extensions.
• Enforce security best practices and manage access controls.
• Carry out database administration tasks, encompassing backup, recovery, and monitoring.
• Optimize database performance using tuning and indexing methods.
• Leverage PostgreSQL's internal tools for high availability and replication.
• Integrate PostgreSQL with modern application development frameworks.

This course equips you with the core skills necessary to deploy, configure, and maintain PostgreSQL databases with confidence. You will master essential tasks such as securing user access, executing robust backup and restore strategies, overseeing log management, and optimizing foundational parameters. By engaging in hands-on exercises, you will apply these administrative skills to real-world scenarios while building a solid foundation for advanced concepts like performance tuning and replication.

In this instructor-led, live training in Copenhagen (onsite or remote), participants will discover general and advanced aspects of PostgreSQL, covering administration, performance tuning, advanced development, and replication. Learners will progress through a series of hands-on, live-lab exercises focused on setup, configuration, testing, deployment, and troubleshooting.

By the end of this training, participants will be capable of:

• Utilising advanced administration techniques to configure and manage a PostgreSQL server.
• Optimising the database and queries for optimal performance.
• Replicating and scaling a PostgreSQL server.

This instructor-led live training, delivered either online or on-site, targets database and system administrators aiming to utilize PostgreSQL for managing large-scale data while ensuring optimized performance and high availability.

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 module examines the fundamentals of PostgreSQL server extensions and libraries that facilitate the integration of AI techniques into database environments. It covers similarity and semantic search using embedding vectors, Text-to-SQL queries, and Retrieval-Augmented Generation (RAG). Learners will progress through installing PgVector and PgAI, managing vector embeddings, establishing vector indexes, and executing semantic search and RAG workflows. The curriculum also includes developing Text-to-SQL applications via LangChain using Python or JavaScript, supported by live demos and practical labs to enhance both conceptual grasp and operational proficiency.

This course explores the core capabilities of PostgreSQL server extensions designed to embed AI methodologies within database architectures. A primary focus is placed on implementing similarity and semantic search using embedding vectors. Participants will acquire the skills necessary to install PgVector, process and ingest vector embeddings, establish vector indexes, and execute semantic search queries. Through a blend of live demonstrations and practical exercises, learners will solidify their grasp of both theoretical principles and hands-on technical skills.

Designed as a practical, hands-on experience, this module dives deep into the art of performance optimization for PostgreSQL. Learners will develop the skills to scrutinize query execution, refine indexing strategies, fine-tune memory and system settings, and effectively oversee workload health. By engaging with real-world case studies and live exercises, you will master the techniques needed to pinpoint and eliminate performance bottlenecks across both the database and system layers.

This course delves into the intricacies of replication, high availability, and cluster management in PostgreSQL. It enables participants to build and manage multi-node environments, configure automated failover, and explore solutions for load balancing and connection pooling. The curriculum features live replication labs and recovery simulations.

This concentrated one-day practical session explores distributed database design and implementation using the Citus extension for PostgreSQL.
Learners will acquire skills in sharding large datasets, managing distributed queries, and building scalable, fault-tolerant PostgreSQL clusters.
Practical labs and real-world case studies illustrate performance tuning, replication integration, and distributed workload management.