PostgreSQL Advanced: Replication and High Availability (RepMgr, PgPool-II) Training Course

Postgres serves as a robust open-source relational database foundation, capable of supporting AI-powered systems and advanced data intelligence applications.

This instructor-led live training, available either online or onsite, is tailored for database professionals and developers with intermediate skills who aim to integrate, manage, and optimise AI capabilities directly within Postgres.

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

• Set up and configure Postgres extensions specifically for AI workloads.
• Implement embeddings and similarity search functionalities using pgvector.
• Integrate both open-source and proprietary Large Language Models (LLMs) with Postgres to gain real-time insights.
• Optimise Postgres to effectively handle AI-driven queries and workflows.

Course Format

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

Customisation Options for the Course

• To request a tailored training session for this course, please contact us to arrange it.

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

This instructor-led training (available online or onsite) targets intermediate to advanced data engineers, DBAs, and solution architects who wish to design, implement, and govern enterprise-grade AI systems leveraging PostgreSQL.

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

• Integrate AI models and vector search capabilities directly into PostgreSQL.
• Deploy AI-optimised architectures suited for high-volume enterprise workloads.
• Implement robust governance, auditing, and compliance measures for AI data pipelines.
• Leverage open-source and proprietary AI frameworks securely within PostgreSQL environments.

Course Format

• 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 customized training for this course, please contact us to arrange.

This instructor-led, live training in Botswana (online or in-person) is aimed at database administrators and cloud architects who wish to migrate Oracle databases to Azure SQL or PostgreSQL.

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

• Compare Azure SQL with PostgreSQL to choose the database that best meets business objectives and needs.
• Prepare databases to move definitions, data, and procedures from Oracle to AzureSQL or PostgreSQL database system.
• Perform post-migration steps to test, optimize, update, and maintain a migrated database.

This course explores the fundamental PostgreSQL server extensions and libraries designed to incorporate AI methodologies into database environments. Key topics include semantic and similarity search leveraging embedding vectors, Text-to-SQL querying capabilities, and Retrieval-Augmented Generation (RAG). Participants will acquire the skills to install PgVector and PgAI, generate and load vector embeddings, construct vector indexes, execute semantic search and RAG implementations, and build Text-to-SQL applications using LangChain with either Python or JavaScript. The curriculum reinforces core concepts and practical competencies through demonstrations and hands-on 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, fine-tuning 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 programme covers the administration and performance optimisation of PostgreSQL databases. Participants will gain expertise in utilising specialised PostgreSQL (also known as Postgres) modules, including replication, connection pooling, and full-text searching.

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

Participants will gain comprehensive knowledge of PostgreSQL architecture, installation procedures, design principles, and techniques for performing database backups and recoveries within the PostgreSQL environment.

This training programme is tailored for Database Administrators and Architects seeking to master the tools and techniques required for implementing Backups, High Availability, and Database Security within PostgreSQL.
Participants will also learn how to identify slow queries, monitor database performance, and tune PostgreSQL for optimal performance.

This course is tailored for Database Administrators and Architects aiming to master Streaming Replication within PostgreSQL. It demonstrates how pgpool-II facilitates automatic failover mechanisms to establish a robust and highly available PostgreSQL Database Cluster.

This programme is tailored for Database Administrators and Architects aiming to enhance PostgreSQL Database performance. Discover techniques to capture slow-running workloads and identify potential bottlenecks within queries. The course also addresses the critical parameters that require adjustment to achieve optimal efficiency.

In this instructor-led live training Botswana (onsite or remote), participants will explore the general and advanced aspects of PostgreSQL. The course covers administration, performance tuning, advanced development, and replication 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.

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 Customization Options

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

This course focuses on programmatically interacting with PostgreSQL databases. Participants will master the techniques, syntaxes, and structures required to build high-quality applications using a PostgreSQL backend. The training also addresses SQL Tuning, outlining best practices for crafting efficient SQL queries.

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

This instructor-led live training in Botswana (online or onsite) is aimed at system administrators and developers who wish to use PostgreSQL 13 to set up, build, and manage databases for high-performance applications.

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

• Install and configure PostgreSQL 13.
• Understand the features, architecture, and fundamentals of operating, managing, and maintaining databases with PostgreSQL 13.
• Learn how to configure Postgres database tables and schemas.
• Learn how to perform data manipulations and queries.
• Explore the different programming interfaces (client and server) to fully utilize and extend functionalities in PostgreSQL 13.