PostgreSQL AI: Introduction to semantic search Training Course

Postgres is a sophisticated open-source relational database that serves as a robust foundation for AI-driven systems and data intelligence applications.

This instructor-led live training, available either online or on-site, is designed for intermediate-level database professionals and developers aiming to integrate, manage, and optimize AI functionalities directly within Postgres.

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

• Configure and set up Postgres extensions tailored for AI workloads.
• Deploy embeddings and execute similarity searches using pgvector.
• Connect both open-source and proprietary Large Language Models (LLMs) with Postgres to gain real-time insights.
• Optimize Postgres performance for AI-driven queries and operational workflows.

Course Format

• Engaging lectures and interactive discussions.
• Ample opportunities for exercises and practical application.
• Hands-on implementation within a live-lab environment.

Customization Options

• To arrange customized training for this course, please reach out to us.

PostgreSQL, a robust open-source relational database, can be significantly enhanced with AI capabilities to drive 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:

• Seamlessly integrate AI models and vector search functionalities directly into PostgreSQL.
• Deploy AI-optimized architectures tailored for high-volume enterprise workloads.
• Establish robust governance, auditing, and compliance frameworks for AI data pipelines.
• Securely leverage both open-source and proprietary AI frameworks within PostgreSQL environments.

Course Format

• Interactive lectures complemented by enterprise case discussions.
• Practical exercises and real-world laboratory sessions.
• Hands-on implementation within a live PostgreSQL environment.

Customization Options

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

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to integrate AI capabilities into database systems. Key topics include semantic and similarity search using embedding vectors, Text-to-SQL queries, and Retrieval-Augmented Generation (RAG). Participants will acquire skills in installing PgVector and PgAI, as well as generating and loading vector embeddings, creating vector indexes, implementing semantic search and RAG, and building Text-to-SQL applications with LangChain using Python or JavaScript. Through demonstrations and practical exercises, the core concepts and hands-on abilities are reinforced.

This practical course delves into the hands-on techniques of performance tuning for PostgreSQL. Participants will gain the skills to analyse query execution, optimize indexing strategies, fine-tune memory and system settings, and effectively monitor workloads. Through real-world scenarios and live exercises, attendees will learn how to identify and resolve bottlenecks at both the database and operating system levels.

Effectively managing and developing PostgreSQL databases demands a profound understanding of performance optimization, database replication, and connection pooling. This course delves into server administration, SQL fundamentals, client interfaces, server-side programming, and the internal mechanics of databases. Through hands-on training, DBAs and developers will learn to optimize query execution, manage backups, configure monitoring systems, and establish robust, production-ready configurations for enterprise-level PostgreSQL environments.

Gain the core competencies needed to install, configure, and manage PostgreSQL databases with confidence. This course covers essential areas including user security, backup and recovery strategies, log management, and parameter tuning. Through practical application, you will perform real-world administrative tasks, preparing yourself for advanced subjects like performance optimization and replication.

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, database 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 for implementing Backups, High Availability, and Database Security within PostgreSQL.
Participants will also gain expertise in identifying slow queries, monitoring database performance, and optimizing PostgreSQL for enhanced efficiency.

Ensuring zero-downtime deployments in PostgreSQL requires mastery of Streaming Replication and automated failover mechanisms. This course delves into synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and the monitoring of streaming configurations. Participants will learn how to deploy pgpool-II for connection pooling and automated high availability, thereby achieving production-grade database reliability essential for enterprise environments supporting high-traffic business applications.

This course is tailored for Database Administrators and Architects seeking to optimize PostgreSQL for peak performance. Participants will learn techniques to track slow workloads and identify potential bottlenecks within queries. Additionally, the curriculum highlights the critical parameters that require tuning to achieve optimal efficiency.

In this instructor-led live training conducted in Turkey (onsite or remote), participants will gain comprehensive knowledge of general and advanced PostgreSQL topics, including administration, performance tuning, advanced development, and replication. The course involves working through 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 PostgreSQL servers.
• Optimize databases and queries for maximum performance.
• Replicate and scale PostgreSQL servers.

PostgresAI is a platform that empowers database teams to clone, test, and optimize PostgreSQL environments through AI-driven automation.

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

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

• Deploy and configure PostgresAI within enterprise environments.
• Integrate PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Utilize AI-driven insights for query optimization and performance tuning.
• Implement governance, auditing, and data privacy controls for cloned environments.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical applications.
• Hands-on implementation in a live-lab environment.

Customization Options

• For customized training requests, please contact us to arrange.

This course explores programmatic interaction with PostgreSQL databases. It covers the essential techniques, syntax, and structures required to build high-quality applications using a PostgreSQL backend. Additionally, the training includes SQL Tuning, focusing on best practices for writing efficient SQL.

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

This course offers a comprehensive exploration of replication, high availability, and cluster management within PostgreSQL. Participants will gain hands-on experience building and managing multi-node environments, configuring automated failover processes, and investigating load balancing and connection pooling strategies. The curriculum features live replication labs and recovery simulations to reinforce learning.

This instructor-led live training in Turkey (online or onsite) is tailored for intermediate developers and administrators who want to capitalize on the newest features and improvements in PostgreSQL 16.

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

• Understand the architecture and components of PostgreSQL 16.
• Utilize advanced SQL features and PostgreSQL extensions.
• Implement security best practices and access controls.
• Perform database administration tasks, including backup, recovery, and monitoring.
• Optimize database performance through tuning and indexing strategies.
• Utilize PostgreSQL's built-in tools for high availability and replication.
• Integrate PostgreSQL with modern application development frameworks.