PostgreSQL Advanced: Scalability and Sharding (Citus) Training Course

Postgres is a sophisticated open-source relational database that serves as the backbone for AI-driven systems and data intelligence applications.

This instructor-led live training (available online or on-site) targets intermediate-level database professionals and developers looking to integrate, manage, and optimize AI capabilities directly within Postgres.

Upon completing 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 robust, open-source relational database that can be significantly enhanced with AI capabilities to drive 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 looking 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.

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence into database systems. Key topics include similarity and semantic search using embedding vectors, Text-to-SQL query capabilities, and Retrieval-Augmented Generation (RAG). Participants will learn how to install PgVector and PgAI, generate and load vector embeddings, establish vector indexes, implement semantic search and RAG workflows, and build Text-to-SQL applications using LangChain with Python or JavaScript. Through demonstrations and practical exercises, the core concepts and essential skills are reinforced.

This practical course concentrates on the hands-on elements of performance tuning within PostgreSQL. Participants will acquire the skills to analyse query execution, refine indexing strategies, tweak memory and system parameters, and effectively monitor workloads. Through real-world scenarios and live exercises, attendees will discover how to detect and resolve bottlenecks at both the database and system levels.

Mastering the management and development of PostgreSQL databases demands extensive expertise in performance tuning, database replication, and connection pooling. This curriculum explores server administration, core SQL concepts, client-side interfaces, server-side scripting, and the inner workings of the database. Through practical, hands-on exercises, database administrators and developers will gain the skills necessary to optimize query performance, handle backup procedures, set up monitoring systems, and design resilient, production-ready configurations for enterprise-level PostgreSQL deployments.

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

Participants will gain comprehensive knowledge of PostgreSQL architecture, installation procedures, design principles, and strategies for executing database backups and recovery.

This course is tailored for Database Administrators and Architects seeking to master the tools and methodologies for executing backups, ensuring high availability, and securing databases within PostgreSQL.
Participants will also gain the skills to identify slow queries, oversee database performance, and optimize PostgreSQL settings for maximum efficiency.

Deploying PostgreSQL with zero downtime requires mastery of streaming replication and automated failover mechanisms. This course provides comprehensive coverage of synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and the monitoring of streaming configurations. You will learn how to deploy pgpool-II to establish connection pooling, automate high availability, and ensure production-grade reliability for enterprise databases supporting high-traffic business applications.

This program is tailored for Database Administrators and Architects seeking to enhance the performance of PostgreSQL databases. Participants will learn how to capture slow-running queries and identify potential bottlenecks. The course also addresses critical configuration parameters essential for achieving optimal performance.

In this instructor-led, live training in Argentina (onsite or remote), participants will explore both fundamental and advanced aspects of PostgreSQL. The curriculum covers administration, performance tuning, sophisticated development practices, and replication. Learners will engage in a series of hands-on, live-lab exercises that guide them through setup, configuration, testing, deployment, and troubleshooting.

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

• Employ advanced administration techniques to configure and manage a PostgreSQL server.
• Optimize the database and its queries to achieve peak performance.
• Replicate and scale a PostgreSQL server effectively.

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

This instructor-led, live training (available online or onsite) is designed for advanced-level DevOps professionals and database engineers looking to implement PostgresAI at an 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 within enterprise environments.
• Integrate PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Leverage AI-driven insights to optimize queries and tune performance.
• Implement governance, auditing, and data privacy controls for cloned environments.

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practice sessions.
• 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 delves into the programmatic interaction with PostgreSQL databases, equipping participants with the essential techniques, syntax, and structural knowledge required to build high-quality applications leveraging a PostgreSQL backend. The training also addresses SQL Tuning, focusing on best practices for crafting efficient SQL queries.

The target audience comprises developers interested in utilizing or extending PostgreSQL capabilities, as well as database architects.

This course offers comprehensive insights into replication, high availability, and cluster management within PostgreSQL. Participants will learn to construct and oversee multi-node environments, set up automated failover mechanisms, and investigate load balancing and connection pooling options. The program features hands-on replication labs and recovery simulations.

This instructor-led, live training in Argentina (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.