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

PostgreSQL, a sophisticated open-source relational database, serves as a robust foundation for AI-powered systems and data intelligence applications.

This instructor-led live training, available both online and on-site, is designed for intermediate database professionals and developers seeking to integrate, manage, and optimize AI capabilities directly within PostgreSQL.

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

• Set up and configure PostgreSQL extensions tailored for AI workloads.
• Implement embeddings and perform similarity searches using pgvector.
• Integrate both open-source and proprietary Large Language Models (LLMs) with PostgreSQL to gain real-time insights.
• Optimize PostgreSQL for handling AI-driven queries and workflows effectively.

Course Format

• Engaging interactive lectures and discussions.
• Ample exercises and practical practice sessions.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• For personalized training arrangements, please get in touch with us.

PostgreSQL, a robust open-source relational database, can be significantly enhanced with AI capabilities to deliver 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 aiming 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 functionalities directly into PostgreSQL.
• Deploy AI-optimized architectures tailored for high-volume enterprise workloads.
• Implement robust governance, auditing, and compliance measures for AI data pipelines.
• Securely utilize both open-source and proprietary AI frameworks 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 Norway (online or onsite) is designed for database administrators and cloud architects looking to migrate Oracle databases to Azure SQL or PostgreSQL.

Upon completion of this training, participants will be capable of:

• Evaluating Azure SQL against PostgreSQL to select the database solution that best aligns with business goals and requirements.
• Preparing databases to transfer schemas, data, and procedures from Oracle to either the Azure SQL or PostgreSQL database systems.
• Executing post-migration tasks, including testing, optimization, updates, and ongoing maintenance of the migrated database.

This course explores the essential PostgreSQL server extensions and libraries required to embed AI capabilities within database systems. Key topics include semantic and similarity searches using embedding vectors, Text-to-SQL query generation, and Retrieval-Augmented Generation (RAG). Participants will acquire the skills to install PgVector and PgAI, generate and import vector embeddings, construct vector indexes, and implement semantic search and RAG workflows. Additionally, the curriculum covers building Text-to-SQL applications leveraging LangChain with Python or JavaScript. Through live demonstrations and practical exercises, learners will reinforce these core concepts and develop actionable technical skills.

This practical course concentrates on the hands-on aspects of tuning PostgreSQL performance. Participants will gain skills in analysing query execution, optimising indexing strategies, configuring memory and system settings, and effectively monitoring workloads. Through real-world case studies and live exercises, the training demonstrates how to pinpoint and resolve performance bottlenecks at both the database and infrastructure levels.

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

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

You will gain comprehensive knowledge of PostgreSQL architecture, installation procedures, design principles, and methods for performing database backups and recovery.

This course is tailored for Database Administrators and Architects aiming to master the tools and methodologies required to implement robust backups, high availability, and database security within PostgreSQL.
Participants will also gain skills in identifying slow queries, monitoring database performance, and optimizing PostgreSQL for peak efficiency.

This course is tailored for Database Administrators and Architects seeking to master Streaming Replication in PostgreSQL. Participants will learn how to leverage pgpool-II to implement automatic failover mechanisms and establish a robust, highly available PostgreSQL database cluster.

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

In this instructor-led live training in Norway (on-site or remote), participants will explore the general and advanced aspects of PostgreSQL, including administration, performance tuning, advanced development, and replication. The learning process involves 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 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 designed to allow database teams to clone, test, and optimize PostgreSQL environments through AI-driven automation.

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

Upon completing this training, participants will be able to:

• Deploy and configure PostgresAI within enterprise environments.
• Integrate PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Use AI-driven insights to optimize queries and tune performance.
• Establish 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 Customization Options

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

This program focuses on programmatically interacting with PostgreSQL databases. It covers the essential techniques, syntaxes, and structures required to build high-quality applications with a PostgreSQL backend. Additionally, the training includes SQL Tuning, highlighting best practices for writing efficient SQL queries.

This course is designed for developers looking to use or extend PostgreSQL, as well as database architects.

This instructor-led, live training in Norway (online or on-site) is designed for 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 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.