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

PostgreSQL stands out as a sophisticated, open-source relational database, serving as a robust base for applications driven by AI and data intelligence.

This guided, live training—available either online or at your location—is designed for database professionals and developers with intermediate experience who want to integrate, manage, and fine-tune AI capabilities directly within PostgreSQL.

Upon completing this training, participants will be equipped to:

• Configure and set up PostgreSQL extensions tailored for AI tasks.
• Deploy embeddings and execute similarity searches using the pgvector extension.
• Link both open-source and proprietary Large Language Models (LLMs) to PostgreSQL for real-time analytics.
• Tweak PostgreSQL to efficiently handle AI-driven queries and processes.

Course Structure

• Engaging lectures and open discussions.
• Numerous exercises and practical drills.
• Practical application in a live lab environment.

Customization Opportunities

• For personalized training tailored to your specific needs, kindly reach out to us to make arrangements.

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

This instructor-led live training (available online or onsite) targets 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 program, participants will acquire the expertise to:

• Integrate AI models and vector search capabilities directly into PostgreSQL.
• Deploy AI-optimized architectures tailored for 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.

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.

This instructor-led live training in Nigeria (available online or onsite) is tailored for 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 foundational aspects of PostgreSQL server extensions and libraries designed to embed artificial intelligence capabilities within database systems. Key topics include semantic and similarity searches utilizing embedding vectors, Text-to-SQL query generation, and Retrieval-Augmented Generation (RAG). Learners will acquire practical skills in installing PgVector and PgAI, generating and ingesting vector embeddings, constructing vector indexes, and implementing semantic search and RAG mechanisms. Additionally, participants will develop Text-to-SQL applications using LangChain with Python or JavaScript. The curriculum combines demonstrations with hands-on exercises to solidify core concepts and practical competencies.

This practical course centres on the real-world aspects of tuning performance in PostgreSQL. Participants will gain skills in analysing query execution, optimising indexing, tweaking memory and system settings, and monitoring workloads efficiently. Through real-life scenarios and hands-on exercises, learners will see how to pinpoint and fix bottlenecks at both the database and system levels.

This course covers the administration and performance optimization of PostgreSQL databases. Participants will gain hands-on experience with specialized PostgreSQL (also known as Postgres) modules, including replication, connection pooling, and full-text search capabilities.

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 best practices for performing database backups and recovery.

This course is tailored for Database Administrators and Architects seeking to master the tools and techniques required to implement Backups, High Availability, and Database Security within PostgreSQL.
Participants will also gain skills in identifying slow queries, monitoring database performance, and tuning PostgreSQL for optimal efficiency.

This training is crafted for Database Administrators and Architects who wish to master Streaming Replication in PostgreSQL and learn how to leverage pgpool-II to achieve automatic failovers and establish a highly available PostgreSQL Database Cluster.

This programme is tailored for Database Administrators and Architects aiming to optimise PostgreSQL databases for peak performance. Participants will learn how to log slow-running workloads and identify potential bottlenecks within queries. The course also explores the critical parameters that require tuning to achieve optimal database efficiency.

In this instructor-led live training conducted Nigeria (either on-site or remotely), participants will explore the core and advanced capabilities of PostgreSQL. The programme includes administration, performance tuning, advanced development, and replication, guided by hands-on live-lab exercises that cover setup, configuration, testing, deployment, and troubleshooting.

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

• Utilize advanced administrative methods to configure and oversee a PostgreSQL server.
• Enhance the performance of the database and queries to maximum potential.
• Execute replication and scaling of a PostgreSQL server.

PostgresAI is a platform that enables database teams to clone, test, and optimize 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 optimization.

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 optimization 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 offers a deep dive into the programmatic interaction with PostgreSQL databases. Participants will acquire the essential techniques, syntaxes, and structural knowledge required to build high-quality applications powered by a PostgreSQL backend. The training also includes comprehensive coverage of SQL Tuning, highlighting best practices for writing efficient SQL code.

The target audience comprises developers eager to utilize or extend PostgreSQL capabilities, as well as database architects looking to enhance their skills.

This instructor-led live training in Nigeria (online or onsite) is aimed at sysadmins 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 PostgreSQL database tables and schemas.
• Learn how to perform data manipulations and queries.
• Explore different programming interfaces (client and server) to fully utilize and extend functionalities in PostgreSQL 13.