PostgreSQL AI: Introduction to semantic search Training Course

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.

PostgreSQL is a powerful, open-source relational database that can be enhanced with AI capabilities for enterprise data intelligence, predictive analytics, and automation.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level data engineers, DBAs, and solution architects who wish to design, implement, and govern enterprise-grade AI systems that leverage PostgreSQL.

By completing this program, participants will gain the expertise to:

• Integrate AI models and vector search capabilities directly into PostgreSQL.
• Deploy AI-optimized architectures for high-volume enterprise workloads.
• Implement robust governance, auditing, and compliance for AI data pipelines.
• Leverage open source and proprietary AI frameworks securely within PostgreSQL environments.

Format of the Course

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

The course covers the fundamentals of PostgreSQL server extensions and libraries used to integrate AI techniques into database systems, including: similarity/semantic search based on embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Students will learn how to install PgVector and PgAI, generate and load vector embeddings, create vector indexes, implement semantic search and RAG, develop Text-to-SQL applications using LangChain with Python/JavaScript. Demonstrations and hands-on practice reinforce the core concepts and practical skills.

This hands-on course focuses on the practical aspects of performance tuning in PostgreSQL. Participants will learn to analyse query execution, optimise indexing, adjust memory and system parameters, and monitor workloads effectively. Real-world scenarios and live exercises demonstrate how to identify and resolve bottlenecks at both the database and system levels.

 Managing and developing PostgreSQL databases requires deep knowledge of performance optimization, database replication, and connection pooling. This course covers server administration, SQL fundamentals, client interfaces, server-side programming, and database internals. Hands-on training equips DBAs and developers to optimize query execution, manage backups, configure monitoring, and build robust production-grade configurations for enterprise-grade PostgreSQL environments.

This course provides the essential knowledge required to install, configure, and manage PostgreSQL databases effectively. Participants will learn how to handle user security, perform backups and restores, manage logs, and tune basic parameters. Through practical exercises, learners will perform real-world administration tasks and prepare for advanced topics such as performance and replication.

This training is designed for Database Administrators and Architects who want to learn PostgreSQL from basics.

You will learn PostgreSQL architecture, installation, designing as well as how to perform backup and recovery databases in PostgreSQL.

This training is designed for Database Administrators and Architects who want to learn the tools and techniques for implementing Backups, High Availability and Database Security in PostgreSQL.
You will also learn how to find slow queries, monitor database performance and tune PostgreSQL for Performance.

 Achieving zero-downtime PostgreSQL deployments demands expert 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 training is designed for Database Administrators and Architects who want to tune PostgreSQL Database for Performance. Learn how to log slow workload and find the possible pain points in a query. This topic also covers the most important parameters that must be tuned for optimal performance. 

In this instructor-led, live training in Poland (onsite or remote), participants will learn the general and advanced aspects of PostgreSQL, including administration, performance turning, advanced development, and replication as they step through a series of hands-on, live-lab exercises involving setup, configuration, testing, deployment and troubleshooting.

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

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

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.

This course provides programmatic interaction with PostgreSQL databases. Learn techniques, syntaxes and structures needed to develop quality applications using PostgreSQL backend. This training also covers SQL Tuning covering best practices for writing efficient SQL.

Target audience includes developers who want to use or extend PostgreSQL, as well as database architects.

This course provides in-depth coverage of replication, high availability, and cluster management in PostgreSQL. Participants will build and manage multi-node environments, configure failover automation, and explore load balancing and connection pooling solutions. The course includes live replication labs and recovery simulations.

This instructor-led, live training in Poland (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.