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 stands as a robust, open-source relational database, which can be significantly enhanced with artificial intelligence capabilities to drive enterprise data intelligence, predictive analytics, and process automation.

This live training, led by an expert instructor and available online or on-site, is designed for intermediate to advanced data engineers, database administrators (DBAs), and solution architects. Participants will learn to design, implement, and govern enterprise-grade AI systems built upon 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.
• Establish comprehensive governance, auditing, and compliance frameworks for AI data pipelines.
• Securely leverage both open-source and proprietary AI frameworks within PostgreSQL environments.

Course Format

• Interactive lectures accompanied by enterprise-focused case studies.
• Practical exercises and real-world laboratory sessions.
• Hands-on implementation within a live PostgreSQL environment.

Course Customization Options

• For customized training arrangements, please contact us.

This course explores the core principles of PostgreSQL server extensions and libraries designed to integrate artificial intelligence into database systems. Key topics include semantic search using embedding vectors, Text-to-SQL queries, 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 functionalities, and build Text-to-SQL applications with LangChain using Python or JavaScript. Practical demonstrations and hands-on exercises support the mastery of these essential concepts and skills.

This practical course concentrates on the real-world application of performance tuning in PostgreSQL. Participants will acquire the skills to analyze query execution, optimize indexing strategies, configure memory and system parameters, and monitor workloads efficiently. Through real-world scenarios and live exercises, attendees will learn how to identify and resolve bottlenecks at both the database and system levels.

Effectively managing and developing PostgreSQL databases demands a profound understanding of performance tuning, database replication strategies, and connection pooling techniques. This program provides comprehensive coverage of server administration, core SQL principles, client-side interfaces, server-side scripting, and the internal architecture of databases. Through practical, hands-on training, database administrators and developers will learn to optimize query execution, manage backup procedures, configure monitoring systems, and establish robust, production-ready configurations tailored for enterprise-level PostgreSQL environments.

This course equips participants with the foundational skills necessary to install, configure, and administer PostgreSQL databases with confidence. You will explore critical aspects of database management, including user security protocols, backup and restore procedures, log management, and the optimization of core parameters. By engaging in hands-on exercises, learners will gain practical experience in real-world administrative tasks, building a solid foundation for advanced concepts such as performance tuning and replication.

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

Participants will gain a comprehensive understanding of PostgreSQL's architecture, installation procedures, and design principles, alongside essential skills for performing database backups and recovery operations.

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

Ensuring zero-downtime PostgreSQL deployments requires expert knowledge of 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 course is tailored for Database Administrators and Architects seeking to enhance PostgreSQL performance. Participants will learn to identify slow queries and pinpoint potential bottlenecks, alongside mastering the key configuration parameters essential for achieving optimal system performance.

In this instructor-led, live training session (the Netherlands provided onsite or remotely), participants will explore the core and advanced features of PostgreSQL. The curriculum includes administration, performance tuning, advanced development, and replication, delivered through a series of hands-on, live laboratory exercises focused on setup, configuration, testing, deployment, and troubleshooting.

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

• Apply advanced administration techniques to configure and manage a PostgreSQL server.
• Optimize database structures 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 explores programmatic interaction with PostgreSQL databases. Participants will master the techniques, syntaxes, and structures required to build high-quality applications backed by PostgreSQL. The training also includes SQL Tuning, focusing on best practices for writing efficient SQL queries.

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

This course delivers an in-depth exploration of replication, high availability, and cluster management within PostgreSQL. Participants will learn to build and administer multi-node environments, set up automated failover, and evaluate load balancing and connection pooling strategies. The curriculum features hands-on replication labs and recovery simulation exercises.

This instructor-led, live training in the Netherlands (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.