PostgreSQL Advanced: Replication and High Availability (RepMgr, PgPool-II) 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 instructor-led live training Turkey (online or onsite) is designed 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 incorporate AI techniques into database systems. Key topics include semantic and similarity searches using embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Participants will learn to install PgVector and PgAI, generate and load vector embeddings, construct vector indexes, and implement semantic search and RAG solutions. Additionally, they will develop Text-to-SQL applications leveraging LangChain with Python or JavaScript. Through demonstrations and hands-on exercises, students will reinforce core concepts and practical skills.

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.

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, 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.

This training is designed for Database Administrators and Architects who want to learn Streaming Replication in PostgreSQL and how pgpool-II can be used to achieve automatic failovers and setup a highly available PostgreSQL Database Cluster.

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 instructor-led live training in Turkey (online or onsite) is aimed at system administrators 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 various programming interfaces (client and server) to fully utilize and extend functionalities in PostgreSQL 13.