PostgreSQL Training in Abu Dhabi

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.

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.

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.

This instructor-led live training in Abu Dhabi (online or onsite) is tailored for beginners who wish to utilize PostgreSQL for database creation, SQL query writing, data manipulation, and table management via SQL commands and PGAdmin. The course also offers 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 instructor-led live training in Abu Dhabi (online or onsite) is designed for intermediate-level developers and administrators looking to capitalize on the latest features and improvements in PostgreSQL 16.

By the conclusion 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.

Effectively managing and developing PostgreSQL databases demands a thorough understanding of performance tuning, database replication, and connection pooling. This course delves into server administration, core SQL concepts, client-side tools, server-side scripting, and the internal mechanics of the database. Through practical, hands-on training, database administrators and developers will gain the skills needed to optimize query performance, manage backup strategies, configure monitoring systems, and establish robust, enterprise-ready PostgreSQL infrastructures.

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 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.

In this instructor-led, live training in Abu Dhabi (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.

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.

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.

Achieving zero-downtime PostgreSQL deployments demands expert Streaming Replication and automated failover management. This course covers synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and monitoring streaming configurations. Learn to deploy pgpool-II for connection pooling, automated high availability setup, and production-grade database reliability for critical enterprise environments serving high-traffic business applications.

This instructor-led, live training in Abu Dhabi (online or onsite) is aimed at database admins and sysadmins who wish to use PostgreSQL to manage large-scale data while optimizing the database systems for high availability and performance.

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

• Install and configure PostgreSQL.
• Understand the features and architecture of PostgreSQL.
• Learn how to perform database operations with SQL.
• Perform database backup and recovery to prevent data loss.
• Configure the server for high availability.
• Learn the tools and techniques for high performance tuning.
• Explore the external tools for monitoring and observability.

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence into database environments. Key topics include semantic and similarity search using embedding vectors, Text-to-SQL query generation, and Retrieval-Augmented Generation (RAG). Participants will master the installation of PgVector and PgAI, learn to generate and load vector embeddings, build vector indexes, and implement semantic search and RAG solutions. Additionally, the curriculum covers developing Text-to-SQL applications using LangChain with Python or JavaScript. Through demonstrations and practical exercises, learners reinforce essential concepts and gain hands-on 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 offers a comprehensive exploration of replication, high availability, and cluster management within PostgreSQL. Participants will gain the skills to construct and oversee multi-node environments, set up automated failover mechanisms, and evaluate load balancing and connection pooling strategies. The curriculum features hands-on replication exercises and recovery simulations.

This immersive, one-day practical course centres on the design and implementation of distributed databases using the Citus extension for PostgreSQL.
Participants gain expertise in sharding large datasets, managing distributed queries, and constructing scalable, fault-tolerant PostgreSQL clusters.
Through real-world case studies and hands-on labs, attendees explore performance tuning, replication integration, and the management of distributed workloads.