PostgreSQL Training in Auckland

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

This instructor-led, live training (online or onsite) is aimed at advanced-level DevOps professionals and database engineers who wish to implement PostgresAI at enterprise scale for database monitoring, cloning, and AI-driven optimisation.

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 optimisation 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 Customisation Options

• To request a customised training for this course, please contact us to arrange.

PostgreSQL is a powerful, open-source relational database that can be enhanced with AI capabilities to support enterprise data intelligence, predictive analytics, and automation.

This instructor-led, live training (delivered online or on-site) is designed for intermediate to advanced data engineers, DBAs, and solution architects who wish to design, implement, and govern enterprise-grade AI systems that leverage PostgreSQL.

Upon completing this program, participants will gain the expertise to:

• Integrate AI models and vector search capabilities directly into PostgreSQL.
• Deploy AI-optimised architectures to handle high-volume enterprise workloads.
• Implement 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 and enterprise case study discussions.
• Practical exercises and real-world lab sessions.
• Hands-on implementation within a live PostgreSQL environment.

Course Customisation Options

• To request a customised version of this training, please contact us to make arrangements.

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

This instructor-led, live training (available online or on-site) is designed for intermediate-level database professionals and developers who aim to integrate, manage, and optimise AI capabilities directly within Postgres.

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

• Set up and configure Postgres extensions tailored for AI workloads.
• Implement embeddings and similarity search using pgvector.
• Integrate both open-source and proprietary LLMs with Postgres to deliver real-time insights.
• Optimise Postgres to efficiently handle AI-driven queries and workflows.

Course Format

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

Course Customisation Options

• To request a customised version of this training, please contact us to arrange.

This instructor-led, live training in Auckland (online or on-site) is designed for beginner-level professionals who wish to learn how to use PostgreSQL to create databases, write SQL queries, manipulate data, and manage tables using both SQL commands and PGAdmin. The course also provides a foundational introduction to the Timescale extension for time-series data.

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

• Understand relational database principles and the architecture of PostgreSQL.
• Install, configure, and navigate both PostgreSQL and PGAdmin.
• Write and execute SQL queries for data selection, filtering, grouping, and joining.
• Manipulate data using SQL statements and manage database objects effectively.
• Create and manage views while exploring PostgreSQL extensions such as Timescale.

This instructor-led, live training in Auckland (delivered online or on-site) is designed for intermediate-level developers and administrators seeking to harness the latest features and enhancements in PostgreSQL 16.

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

• Understand the architecture and core components of PostgreSQL 16.
• Leverage advanced SQL features and PostgreSQL extensions.
• Implement security best practices and access controls.
• Carry out essential database administration tasks, including backup, recovery, and monitoring.
• Optimise database performance through effective tuning and indexing strategies.
• Utilise 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 optimisation, database replication, and connection pooling. This course addresses server administration, SQL fundamentals, client interfaces, server-side programming, and database internals. Practical training empowers DBAs and developers to enhance query execution, oversee backups, establish monitoring systems, and construct resilient production-grade setups for enterprise-level PostgreSQL environments.

This course provides programmatic interaction with PostgreSQL databases. Learn the techniques, syntaxes, and structures required to develop high-quality applications using a PostgreSQL backend. This training also covers SQL tuning, including best practices for writing efficient SQL queries.

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

This training is tailored for Database Administrators and Architects who wish to build a solid foundation in PostgreSQL from the ground up.

You will gain a comprehensive understanding of PostgreSQL architecture, installation procedures, database design principles, as well as best practices for backing up and recovering databases in PostgreSQL.

In this instructor-led, live training in Auckland (onsite or remote), participants will explore both fundamental and advanced aspects of PostgreSQL, including administration, performance tuning, advanced development, and replication. This is achieved through a series of practical, hands-on lab exercises covering setup, configuration, testing, deployment, and troubleshooting.

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

• Apply advanced administrative techniques to configure and manage a PostgreSQL server.
• Optimise databases and queries to achieve maximum performance.
• Replicate and scale a PostgreSQL server.

This training is designed for Database Administrators and Architects who wish to optimise PostgreSQL for enhanced performance. You will learn how to log slow workloads and identify potential bottlenecks in queries. The course also covers the most critical parameters that require tuning to achieve optimal performance.

This training is tailored for Database Administrators and Architects seeking 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 tune PostgreSQL for optimal performance.

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 Auckland (available online or on-site) is tailored for database administrators and system administrators who want to leverage PostgreSQL to manage large volumes of data while optimising 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 using SQL.
• Carry out database backup and recovery procedures to prevent data loss.
• Configure the server for high availability.
• Learn the tools and techniques for high-performance tuning.
• Explore external tools for monitoring and observability.

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to embed artificial intelligence techniques within database systems. Key topics include similarity and semantic search utilising embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Participants will acquire the skills to install PgVector and PgAI, generate and load vector embeddings, create vector indexes, implement semantic search and RAG, and develop Text-to-SQL applications using LangChain with Python or JavaScript. Through demonstrations and hands-on practice, learners will reinforce their core concepts and practical abilities.

This hands-on course focuses on the practical aspects of performance tuning in PostgreSQL. Participants will learn to analyse query execution, optimise indexing, adjust memory and system parameters, and monitor workloads effectively. Real-world scenarios and live exercises demonstrate how to identify and resolve bottlenecks at both the database and system levels.

This course offers comprehensive coverage of replication, high availability, and cluster management within PostgreSQL. Participants will build and manage multi-node environments, configure automated failover, and explore solutions for load balancing and connection pooling. The course features hands-on replication labs and recovery simulations.

This intensive one-day, hands-on course focuses on distributed database design and implementation using the Citus extension for PostgreSQL.
Participants learn how to shard large datasets, manage distributed queries, and build scalable, fault-tolerant PostgreSQL clusters.
Real-world examples and practical labs demonstrate performance tuning, replication integration, and distributed workload management