PostgreSQL Advanced - Performance Management Training Course

Gain mastery over AI integration in Postgres through this instructor-led live training in Australia. Learn to configure extensions, implement pgvector embeddings, and connect LLMs for immediate insights. Refine queries and build intelligent systems within a practical, hands-on live-lab environment.

This 21-hour instructor-led training in Australia empowers data engineers and DBAs to integrate AI models into PostgreSQL. Participants learn to deploy optimised architectures, implement vector search, and enforce strict governance, ensuring secure and high-performance enterprise-grade AI solutions.

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 course examines the key PostgreSQL server extensions that enable the incorporation of AI methods into database systems, with a particular emphasis on similarity and semantic search utilising embedding vectors. Learners will develop the skills to install PgVector, generate and import vector embeddings, build vector indexes, and execute semantic search. Through a blend of live demonstrations and hands-on practice, the course reinforces both core concepts and practical application skills.

This module provides the foundational knowledge necessary to effectively install, configure, and manage PostgreSQL databases. It guides participants through essential tasks such as securing user access, executing backups and restores, managing logs, and tuning basic parameters. Through practical, hands-on activities, learners will perform real-world administration tasks, preparing them for advanced subjects like performance tuning and replication.

In this instructor-led live training Australia (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 instructor-led, live training in Australia empowers advanced DevOps professionals and database engineers to implement PostgresAI at enterprise scale. Learners will gain mastery over database cloning, AI-driven query optimisation, and monitoring through hands-on exercises in a live-lab environment.

This course offers an in-depth look at replication, high availability, and cluster management in PostgreSQL. It guides participants in building and managing multi-node environments, configuring automated failover, and exploring load balancing and connection pooling strategies. The program includes live replication labs and recovery simulations.

This instructor-led, live training in Australia (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.