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.

This practical 3-day training covers the complete skill set required to develop robust applications using PostgreSQL.
Participants learn advanced SQL, procedural programming with PL/pgSQL, and database design techniques that improve performance and maintainability.
Real-world exercises focus on building stored functions, triggers, and automation logic directly inside PostgreSQL.

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.

In this instructor-led, live training in Moldova (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 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 Moldova (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 intensive 1-day hands-on course focuses on distributed database design and implementation using the Citus extension for PostgreSQL.
Participants learn how to shard large datasets, manage distributed queries, and build scalable, fault-tolerant PostgreSQL clusters.
Real-world examples and practical labs demonstrate performance tuning, replication integration, and distributed workload management