PostgreSQL Training in Maia

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

This instructor-led, live training (available online or onsite) is designed for advanced-level DevOps professionals and database engineers who wish to implement PostgresAI at 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 in enterprise environments.
• Integrate PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Leverage 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.
• 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 support 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 leveraging 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.
• Securely leverage open source and proprietary AI frameworks 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.

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 intermediate-level database professionals and developers 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 searches using pgvector.
• Integrate both open-source and proprietary LLMs with Postgres to gain real-time insights.
• Optimize Postgres to efficiently handle AI-driven queries and workflows.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical 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 Maia (online or onsite) is aimed at beginner-level professionals who wish to learn how to use PostgreSQL for creating databases, writing SQL queries, manipulating data, and managing tables using both SQL commands and PGAdmin. The course also provides 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 Maia (online or onsite) targets intermediate-level developers and administrators looking to capitalize on the new features and improvements introduced in PostgreSQL 16.

By the conclusion of this training, participants will be capable of:

• Comprehending the architecture and components of PostgreSQL 16.
• Utilizing advanced SQL functionalities and PostgreSQL extensions.
• Implementing security best practices and managing access controls.
• Carrying out database administration duties, including backup, recovery, and monitoring.
• Optimizing database performance via tuning and indexing methods.
• Employing PostgreSQL's native tools for high availability and replication.
• Integrating PostgreSQL with modern application development frameworks.

Effective management and development of PostgreSQL databases demand a profound understanding of performance tuning, database replication strategies, and connection pooling techniques. This course encompasses server administration, core SQL principles, client-side interfaces, server-side programming, and the internal architecture of the database. Through practical, hands-on training, Database Administrators and developers will learn to optimize query execution, manage backup procedures, set up monitoring systems, and establish robust, production-ready configurations tailored for enterprise-level PostgreSQL environments.

This course focuses on programmatic interaction with PostgreSQL databases. It teaches the techniques, syntax, and structures required to build high-quality applications using a PostgreSQL backend. Additionally, the training covers SQL Tuning, highlighting best practices for writing efficient SQL code.

The target audience includes developers looking to use or extend PostgreSQL, as well as database architects.

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

Participants will gain insights into PostgreSQL architecture, installation procedures, database design, as well as the methods for performing backup and recovery operations within PostgreSQL.

In this instructor-led, live training in Maia (onsite or remote), participants will explore 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.

Designed for Database Administrators and Architects seeking to optimize PostgreSQL performance, this training demonstrates how to log slow workloads and identify potential query bottlenecks. It also addresses the critical parameters that require tuning to achieve optimal efficiency.

This training program is tailored for Database Administrators and Architects seeking to master the tools and techniques required to implement effective backups, high availability, and database security within PostgreSQL.
Participants will also acquire the skills necessary to identify slow queries, monitor database performance, and optimize PostgreSQL settings for enhanced efficiency.

Ensuring zero-downtime PostgreSQL deployments requires expert handling of Streaming Replication and automated failover management. This course delves into synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and monitoring streaming configurations. Participants will learn to deploy pgpool-II for connection pooling, set up automated high availability, and achieve production-grade database reliability for critical enterprise environments supporting high-traffic business applications.

This instructor-led, live training in Maia (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 core concepts of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence techniques into database architectures. Key topics include similarity and semantic search utilizing embedding vectors, Text-to-SQL query capabilities, and Retrieval-Augmented Generation (RAG). Participants will acquire the skills necessary to install PgVector and PgAI, generate and ingest vector embeddings, construct vector indexes, and implement semantic search alongside RAG solutions. Additionally, attendees will develop Text-to-SQL applications leveraging LangChain with either Python or JavaScript. These learning experiences are solidified through live demonstrations and practical exercises that reinforce both theoretical understanding and technical proficiency.

This practical course emphasises the hands-on approach to performance tuning within PostgreSQL. Participants will gain the skills to analyse query execution, refine indexing strategies, tweak memory and system settings, and effectively monitor workloads. Through real-world scenarios and live exercises, learners will discover how to pinpoint and resolve bottlenecks at both the database and system levels.

This course delivers comprehensive coverage of replication, high availability, and cluster management within PostgreSQL. Participants will learn to construct and administer multi-node environments, set up automated failover mechanisms, and investigate solutions for load balancing and connection pooling. The curriculum features live replication laboratories and recovery simulations.

This intensive one-day practical course concentrates on the design and implementation of distributed databases using the Citus extension for PostgreSQL.
Attendees will learn how to shard large datasets, handle distributed queries, and construct scalable, fault-tolerant PostgreSQL clusters.
Practical labs and real-world scenarios illustrate performance tuning, replication integration, and the management of distributed workloads.