PostgreSQL Fundamentals Training Course

Postgres is a sophisticated 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 optimise 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.
• Optimise 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.

PostgreSQL is a robust, open-source relational database that can be augmented with AI capabilities to drive 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 who want to design, implement, and govern enterprise-grade AI systems leveraging PostgreSQL.

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

• Integrate AI models and vector search capabilities directly into PostgreSQL.
• Deploy AI-optimised 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 Customisation Options

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

This course explores the core principles of PostgreSQL server extensions and libraries designed to embed artificial intelligence techniques within database systems. Key topics include similarity and semantic search using 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, construct vector indexes, implement semantic search and RAG solutions, and build Text-to-SQL applications employing LangChain with Python or JavaScript. Practical demonstrations and hands-on exercises reinforce these essential concepts and competencies.

This practical course focuses on the hands-on aspects of performance tuning within PostgreSQL. Participants will gain skills in analysing query execution, optimising indexing strategies, configuring 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 infrastructure levels.

Effectively managing and developing PostgreSQL databases demands a thorough understanding of performance optimisation, database replication, and connection pooling. This course provides comprehensive coverage of server administration, SQL fundamentals, client interfaces, server-side programming, and database internals. Through practical, hands-on training, database administrators and developers will gain the skills to optimise query execution, manage backups, configure monitoring systems, and establish robust, production-grade configurations for enterprise-level PostgreSQL environments.

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

You will gain insights into PostgreSQL architecture, installation procedures, database design principles, and techniques for performing effective backups and recoveries.

This training is tailored for Database Administrators and Architects aiming to master the tools and methodologies for implementing backups, high availability, and database security within PostgreSQL.
You will also gain insights into identifying slow queries, monitoring database performance, and tuning PostgreSQL for optimal speed.

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

This course is tailored for Database Administrators and Architects seeking to optimise PostgreSQL databases for peak performance. You will learn techniques for logging slow-running workloads and identifying potential bottlenecks within queries. The curriculum also addresses the critical configuration parameters that must be adjusted to ensure optimal performance.

In this instructor-led, live training in South Africa (onsite or remote), participants will explore both fundamental and advanced PostgreSQL concepts. The curriculum covers administration, performance tuning, advanced development techniques, and replication. Attendees will engage in a series of practical, hands-on lab exercises that guide them through setup, configuration, testing, deployment, and troubleshooting.

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

• Employ advanced administrative techniques to configure and manage a PostgreSQL server.
• Enhance database and query performance to achieve optimal efficiency.
• Implement replication strategies and scale a PostgreSQL server.

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.

This programme equips participants with the skills to programmatically interact with PostgreSQL databases. You will master the essential techniques, syntaxes, and structures required to build high-quality applications powered by a PostgreSQL backend. The training also delves into SQL Tuning, highlighting best practices for writing efficient SQL code.

The course is designed for developers looking to utilise or extend PostgreSQL capabilities, as well as database architects.

This course offers comprehensive insights into replication, high availability, and cluster management within PostgreSQL. Participants will learn to construct and manage multi-node environments, set up automated failover mechanisms, and investigate load balancing and connection pooling strategies. The programme features practical replication exercises and recovery simulations.

This instructor-led, live training in South Africa (online or onsite) is aimed at intermediate-level developers and administrators who wish to leverage the latest features and improvements in PostgreSQL 16.

By the end 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.