PostgreSQL Training in Canberra

PostgresAI is a platform designed to empower database teams to clone, test, and optimise PostgreSQL environments through AI-driven automation.

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

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

• Deploying and configuring PostgresAI within enterprise environments.
• Integrating PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Leveraging AI-driven insights for query optimisation and performance tuning.
• Implementing 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 Customisation Options

• To request a customised training course, please contact us to make arrangements.

PostgreSQL is a powerful, 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.

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

This instructor-led training, available online or onsite, is designed for intermediate-level database professionals and developers seeking to integrate, manage, and optimise AI capabilities directly within PostgreSQL.

Upon completion of this training, participants will be able to:

• Set up and configure PostgreSQL extensions tailored for AI workloads.
• Implement embeddings and conduct similarity searches using pgvector.
• Integrate both open-source and proprietary large language models (LLMs) with PostgreSQL to derive real-time insights.
• Optimise PostgreSQL for handling AI-driven queries and workflows effectively.

Course Format

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

Course Customisation Options

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

This instructor-led live training in Canberra (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 Canberra (online or on-site) is designed for intermediate-level developers and administrators keen on leveraging the latest features and enhancements in PostgreSQL 16.

Upon completion of this training, participants will be able to:

• Grasp the architecture and components of PostgreSQL 16.
• Employ advanced SQL features and PostgreSQL extensions.
• Implement security best practices and access controls.
• Carry out database administration tasks, encompassing backup, recovery, and monitoring.
• Enhance database performance through 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 strong grasp of performance tuning, replication strategies, and connection pooling. This course delves into server administration, SQL essentials, client interfaces, server-side programming, and the inner workings of the database. Through practical training, DBAs and developers will learn to optimise query execution, manage backups, configure monitoring tools, and establish robust, production-ready configurations for enterprise PostgreSQL environments.

This course enables developers to interact programmatically with PostgreSQL databases. You will learn the essential techniques, syntax, and structures required to build high-quality applications backed by PostgreSQL. The training also includes SQL Tuning, focusing on best practices for writing efficient SQL code.

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

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

Participants will gain a comprehensive understanding of PostgreSQL architecture, installation procedures, database design principles, and the techniques required to perform database backup and recovery operations within PostgreSQL.

In this instructor-led live training Canberra (onsite or remote), participants will gain insight into both general and advanced PostgreSQL aspects. The curriculum covers administration, performance tuning, advanced development, and replication, delivered 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 course is tailored for Database Administrators and Architects aiming to optimise PostgreSQL database performance. Participants will learn how to capture slow query logs and identify potential bottlenecks within queries. The curriculum also addresses the critical configuration parameters that require tuning to achieve peak performance.

This course is tailored for Database Administrators and Architects aiming to master the tools and techniques required for implementing Backups, High Availability, and Database Security in PostgreSQL.
Participants will also acquire the skills to identify slow queries, monitor database performance, and optimise PostgreSQL for peak efficiency.

Enabling zero-downtime PostgreSQL deployments requires specialist knowledge 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. You will learn to deploy pgpool-II for connection pooling, automate high availability setups, and ensure production-grade database reliability for critical enterprise environments supporting high-traffic business applications.

This instructor-led, live training in Canberra (online or onsite) is tailored for database administrators and system administrators who wish to utilise PostgreSQL for managing large-scale data while optimising database systems for high availability and performance.

Upon completion of this training, participants will be equipped to:

• Install and configure PostgreSQL.
• Understand the features and architecture of PostgreSQL.
• Perform database operations using SQL.
• Execute database backup and recovery procedures to prevent data loss.
• Configure the server for high availability.
• Apply tools and techniques for high-performance tuning.
• Explore external tools for monitoring and observability.

This course delves into the core principles of PostgreSQL server extensions and libraries designed to embed artificial intelligence capabilities within database environments. Key topics include semantic search powered by 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, establish vector indexes, and implement semantic search and RAG functionalities. Additionally, students will develop Text-to-SQL applications leveraging LangChain with Python or JavaScript. These concepts are reinforced through live demonstrations and practical exercises.

This practical course centres on the hands-on aspects of performance tuning in PostgreSQL. Participants will acquire skills in analysing query execution, optimising indexing strategies, adjusting memory and system parameters, and effectively monitoring workloads. Through real-world scenarios and live exercises, attendees will learn 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 construct and oversee multi-node environments, configure automated failover, and investigate load balancing and connection pooling strategies. The curriculum features practical replication labs and recovery simulations.

This intensive one-day practical course concentrates on the design and implementation of distributed databases using the Citus extension for PostgreSQL.
Participants will learn how to shard large datasets, manage distributed queries, and construct scalable, fault-tolerant PostgreSQL clusters.
Through real-world examples and hands-on labs, attendees will explore performance tuning, replication integration, and the management of distributed workloads.