PostgreSQL for Administrators - 3 Days Training Course

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

This instructor-led live training, available online or onsite, is designed for database professionals and developers at an intermediate level who aim to integrate, manage, and optimize AI capabilities directly within Postgres.

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

• Set up and configure Postgres extensions tailored for AI workloads.
• Implement embeddings and perform similarity search using pgvector.
• Connect both open-source and proprietary large language models (LLMs) with Postgres to derive real-time insights.
• Optimize Postgres performance to handle AI-driven queries and workflows effectively.

Course Format

• Interactive lectures and discussions.
• Ample exercises and practical practice opportunities.
• Hands-on implementation within a live lab environment.

Course Customization Options

• To request a customized version of this course, please contact us to arrange your specific needs.

PostgreSQL is a robust, 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.

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 generation, and Retrieval-Augmented Generation (RAG). Participants will learn to install PgVector and PgAI, generate and load vector embeddings, construct vector indexes, implement semantic search and RAG workflows, and build Text-to-SQL applications with LangChain in Python or JavaScript. Through demonstrations and practical exercises, learners will reinforce essential concepts and hands-on skills.

This practical course concentrates on the essential skills for tuning PostgreSQL performance. Participants will gain proficiency in analysing query execution, optimizing indexing strategies, configuring memory and system parameters, and effectively monitoring workloads. Through real-world scenarios and live exercises, the course demonstrates how to pinpoint and resolve performance bottlenecks at both the database and system levels.

Managing and developing PostgreSQL databases demands a thorough understanding of performance optimization, database replication, and connection pooling. This course explores server administration, SQL fundamentals, client interfaces, server-side programming, and the internal workings of the database. Through hands-on training, DBAs and developers will learn to optimize query execution, manage backups, configure monitoring systems, and build robust, production-ready configurations for enterprise-level PostgreSQL environments.

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 processes, design principles, and database backup and recovery techniques.

This training is designed for Database Administrators and Architects who wish to master the tools and techniques required to implement Backups, High Availability, and Database Security in PostgreSQL.
You will also learn how to identify slow queries, monitor database performance, and optimise PostgreSQL for enhanced performance.

Ensuring zero-downtime PostgreSQL deployments requires proficient use of Streaming Replication and automated failover management. This course explores synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and monitoring streaming configurations. You will learn how to deploy pgpool-II for connection pooling, establish automated high availability, and achieve production-grade database reliability suitable for critical enterprise environments serving high-traffic business applications.

This training is designed for Database Administrators and Architects who wish to optimise PostgreSQL databases for enhanced performance. Learn how to log slow workloads, identify potential bottlenecks in queries, and understand the most critical parameters that require tuning to achieve optimal performance.

In this instructor-led live training held at Uzbekistan (onsite or remote), participants will delve into the general and advanced facets of PostgreSQL, including administration, performance tuning, advanced development, and replication. The learning process involves a series of hands-on, live-lab exercises that cover setup, configuration, testing, deployment, and troubleshooting.

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

• Utilize 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 serves as a comprehensive 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 who aim to implement PostgresAI at an enterprise scale for database monitoring, cloning, and AI-driven optimization.

Upon completing this training, participants will be capable of:

• Deploying and configuring PostgresAI within enterprise environments.
• Integrating PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Utilizing AI-driven insights for query optimization and performance tuning.
• Implementing 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 enables developers to interact programmatically with PostgreSQL databases. Participants will acquire the essential techniques, syntax, and structural knowledge required to build high-quality applications backed by PostgreSQL. Additionally, the training addresses SQL tuning, focusing on best practices for writing efficient SQL code.

The course is designed for developers looking to utilize or extend PostgreSQL, as well as for database architects.

This course delivers a comprehensive exploration of replication, high availability, and cluster management within PostgreSQL. Participants will gain hands-on experience building and managing multi-node environments, configuring automated failover, and investigating load balancing and connection pooling strategies. The curriculum features live replication laboratories and recovery simulations to reinforce learning.

This instructor-led live training in Uzbekistan (online or onsite) targets intermediate-level developers and administrators eager to exploit the latest features and improvements in PostgreSQL 16.

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

• Comprehend 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.