PostgreSQL Advanced: Replication and High Availability (RepMgr, PgPool-II) 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 robust, open-source relational database that can be augmented with AI capabilities to deliver 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 aiming to design, implement, and govern enterprise-grade AI systems powered by 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 robust 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 coupled with enterprise case study discussions.
• Practical exercises and real-world laboratory sessions.
• Hands-on implementation within a live PostgreSQL environment.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training in the UAE (online or onsite) is designed for database administrators and cloud architects who wish 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 meets business objectives and needs.
• Prepare databases to move definitions, data, and procedures from Oracle to Azure SQL or PostgreSQL database system.
• Perform post-migration steps to test, optimize, update, and maintain a migrated database.

This course explores the essential PostgreSQL server extensions and libraries designed to embed artificial intelligence capabilities into database environments. Key topics include similarity and semantic search leveraging embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Participants will master the installation of PgVector and PgAI, generate and import vector embeddings, construct vector indexes, and implement semantic search and RAG workflows. Additionally, they will build Text-to-SQL applications utilizing LangChain with Python or JavaScript. Practical demonstrations and hands-on exercises are integrated throughout to solidify core concepts and technical proficiency.

This practical course emphasizes the hands-on techniques for tuning PostgreSQL performance. Participants will acquire the skills to analyse query execution, refine indexing strategies, configure memory and system settings, and efficiently monitor workloads. Through real-world case studies and live exercises, attendees will learn to identify and eliminate bottlenecks at both the database and infrastructure levels.

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

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's architecture, installation procedures, design principles, and database backup and recovery techniques.

Designed for Database Administrators and Architects seeking to master the tools and techniques for implementing Backups, High Availability, and Database Security in PostgreSQL.
Participants will also learn how to identify slow queries, monitor database performance, and tune PostgreSQL for optimal speed and efficiency.

This training is tailored for Database Administrators and Architects aiming to master Streaming Replication within PostgreSQL. It explains how to leverage pgpool-II to enable automatic failovers and establish a highly available PostgreSQL Database Cluster.

This training is tailored for Database Administrators and Architects seeking to optimize PostgreSQL databases for peak performance. Participants will learn how to capture logs of slow-running workloads and identify potential bottlenecks within queries. The course also addresses the critical configuration parameters that require tuning to achieve optimal system efficiency.

In this instructor-led, live training in the UAE (onsite or remote), participants will learn the general and advanced aspects of PostgreSQL, including administration, performance tuning, 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 empowers database teams to clone, test, and optimize PostgreSQL environments through AI-driven automation.

This instructor-led, live training (available online or onsite) targets advanced-level DevOps professionals and database engineers seeking to implement PostgresAI at an enterprise scale for database monitoring, cloning, and AI-driven optimization.

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

• Deploy and configure PostgresAI within enterprise environments.
• Integrate PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Utilize 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.
• Extensive 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 offers practical guidance on interacting programmatically with PostgreSQL databases. Participants will master the essential techniques, syntax, and structures required to build high-quality applications backed by PostgreSQL. The curriculum also delves into SQL Tuning, emphasizing best practices for crafting efficient SQL queries.

The ideal audience comprises developers aiming to utilize or extend PostgreSQL capabilities, as well as database architects.

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