PostgreSQL Server Administration Training Course

PostgreSQL is a sophisticated open-source relational database that can serve as the backbone for AI-powered systems and data intelligence applications.

This instructor-led, live training (available online or onsite) is designed for intermediate-level database professionals and developers who wish to integrate, manage, and optimize AI capabilities directly within PostgreSQL.

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

• Set up and configure PostgreSQL extensions for AI workloads.
• Implement embeddings and similarity search using pgvector.
• Integrate open source and proprietary LLMs with PostgreSQL for real-time insights.
• Optimize PostgreSQL for handling AI-driven queries and workflows.

Format of the Course also allows for the evaluation of participants.

• 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 explores the foundational aspects of PostgreSQL server extensions and libraries designed to embed artificial intelligence techniques within database environments. Key topics include similarity and semantic search utilizing embedding vectors, Text-to-SQL query capabilities, and Retrieval-Augmented Generation (RAG). Participants will master the installation of PgVector and PgAI, learn to generate and load vector embeddings, construct vector indexes, and implement semantic search and RAG solutions. Additionally, attendees will develop Text-to-SQL applications using LangChain with Python or JavaScript. Through live demonstrations and practical exercises, the core concepts and applicable skills are reinforced.

This course delves into the basics of PostgreSQL server extensions designed to embed AI techniques into database systems, specifically focusing on similarity and semantic search utilizing embedding vectors. Learners will master the process of installing PgVector, handling vector embeddings, creating vector indexes, and deploying semantic search functionalities. The curriculum reinforces key concepts and practical competencies through interactive demonstrations and hands-on sessions.

This practical course delves into the essential techniques for tuning PostgreSQL performance. Attendees will gain expertise in analyzing query execution, optimizing indexing strategies, configuring memory and system settings, and efficiently monitoring workloads. Through real-world case studies and interactive exercises, participants will learn to pinpoint and resolve performance bottlenecks at both the database and infrastructure levels.

Effectively managing and developing PostgreSQL databases demands a profound understanding of performance tuning, data replication, and connection pooling. This course delves into server administration, core SQL concepts, client tools, server-side scripting, and database architecture. Through practical exercises, database administrators and developers will learn to optimize query performance, manage backup strategies, set up monitoring systems, and establish reliable, enterprise-ready PostgreSQL configurations.

In this instructor-led live training delivered in France (onsite or remote), participants will gain insights into the general and advanced aspects of PostgreSQL. Key topics include administration, performance tuning, advanced development, and replication, all reinforced through hands-on, live-lab exercises covering 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 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 also allows for the evaluation of participants.

• 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 explores programmatic interactions with PostgreSQL databases. It teaches the techniques, syntaxes, and structures required to build robust applications using a PostgreSQL backend. The training also addresses SQL Tuning, highlighting best practices for writing efficient SQL code.

The target audience includes developers seeking to utilize or extend PostgreSQL, as well as database architects.

This course offers comprehensive coverage of replication, high availability, and cluster management within PostgreSQL. Participants will learn to build and oversee multi-node environments, set up automated failover, and investigate load balancing and connection pooling solutions. The curriculum features hands-on replication labs and recovery simulations.

This instructor-led, live training in France (online or onsite) is aimed at intermediate-level developers and administrators who wish to leverage the latest features and improvements 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.
• Perform database administration tasks, including backup, recovery, and monitoring.
• Enhance database performance through tuning and indexing strategies.
• Leverage PostgreSQL's built-in tools for high availability and replication.
• Integrate PostgreSQL with modern application development frameworks.