PostgreSQL Advanced: Replication and High Availability (RepMgr, PgPool-II) 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 instructor-led, live training in Uzbekistan (online or onsite) is designed for database administrators and cloud architects who aim to migrate Oracle databases to Azure SQL or PostgreSQL.

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

• Compare Azure SQL with PostgreSQL to choose the database that best suits business objectives and needs.
• Prepare databases for transferring definitions, data, and procedures from Oracle to AzureSQL or PostgreSQL.
• Perform post-migration steps to test, optimize, update, and maintain the migrated database.

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to incorporate AI capabilities into database environments. 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, build vector indexes, implement semantic search and RAG, and develop Text-to-SQL applications leveraging LangChain with Python or JavaScript. Through demonstrations and practical exercises, the course reinforces 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.

This course focuses on the administration and performance optimization of PostgreSQL databases. Participants will master specialized PostgreSQL (also known as Postgres) modules, including replication, connection pooling, and full-text search capabilities.

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.

This program is tailored for Database Administrators and Architects seeking to master Streaming Replication in PostgreSQL, including how pgpool-II can be leveraged to enable automatic failovers and establish a highly available PostgreSQL Database Cluster.

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 instructor-led, live training in Uzbekistan (online or onsite) is aimed at sysadmins and developers who wish to use PostgreSQL 13 to set up, build, and manage databases for high-performance applications.

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

• Install and configure PostgreSQL 13.
• Understand the features, architecture, and fundamentals of operating, managing, and maintaining databases with PostgreSQL 13.
• Learn how to configure Postgres database tables and schemas.
• Learn how to perform data manipulations and queries.
• Explore the different programming interfaces (client and server) to fully utilize and extend functionalities in PostgreSQL 13.