PostgresAI at Enterprise Scale: Monitoring, Cloning & AI-Driven Operations Training Course

Gain mastery over AI integration within Postgres through this live, instructor-led training session held in the UK. You will learn to configure extensions, deploy pgvector embeddings, and connect LLMs for immediate insights. Optimize your queries and construct intelligent systems in a practical, hands-on live-lab setting.

This 21-hour instructor-led training in the UK enables data engineers and DBAs to integrate AI models into PostgreSQL. Participants learn to deploy optimized architectures, implement vector search, and enforce strict governance, ensuring secure and high-performance enterprise-grade AI solutions.

This module explores the core capabilities of PostgreSQL server extensions and libraries designed to embed AI capabilities within database environments. Key areas of focus include similarity and semantic search driven by embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Participants will gain proficiency in installing PgVector and PgAI, generating and loading vector embeddings, and constructing vector indexes. The course further covers the implementation of semantic search and RAG strategies, alongside the development of Text-to-SQL applications using LangChain with Python or JavaScript. Through practical demonstrations and hands-on exercises, learners will consolidate both theoretical understanding and practical skill sets.

This module explores the essential PostgreSQL server extensions required for embedding artificial intelligence capabilities into database architectures, with a specific focus on similarity and semantic search driven by embedding vectors. Learners will gain proficiency in deploying PgVector, processing vector embeddings, constructing vector indexes, and executing semantic search operations. A combination of practical demonstrations and guided exercises will consolidate these core principles and professional competencies.

This practical, hands-on course concentrates on the operational dimensions of performance tuning in PostgreSQL. It guides participants through analysing query execution, optimising indexing strategies, adjusting memory and system parameters, and monitoring workloads with precision. By utilising real-world scenarios and live practical exercises, the course demonstrates methods for identifying and resolving bottlenecks at both the database and system levels.

This module provides the core knowledge needed to install, configure, and administer PostgreSQL databases effectively. Learners will explore user security management, backup and recovery processes, log oversight, and the adjustment of basic parameters. Through practical, scenario-based exercises, participants will apply real-world administrative skills, building a strong foundation for advanced topics such as performance enhancement and replication.

In this instructor-led, live training delivered in the UK (onsite or remote), participants will delve into both general and advanced aspects of PostgreSQL. The programme encompasses 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 the training, participants will be able to:

• Employ advanced administration techniques to configure and manage PostgreSQL servers.
• Optimise databases and queries for maximum efficiency.
• Execute replication and scaling of PostgreSQL servers.

This programme offers comprehensive insights into PostgreSQL replication, high availability, and cluster management. Learners will construct and oversee multi-node environments, set up automated failover mechanisms, and investigate load balancing and connection pooling strategies. The curriculum features practical replication exercises and disaster recovery simulations.

This live, instructor-led training in the UK (online or on-site) is designed for intermediate-level developers and administrators aiming to utilise 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.
• Utilise advanced SQL features and PostgreSQL extensions.
• Implement security best practices and access controls.
• Perform database administration tasks, including backup, recovery, and monitoring.
• Optimise database performance through tuning and indexing strategies.
• Use PostgreSQL’s built-in tools for high availability and replication.
• Integrate PostgreSQL with modern application development frameworks.