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

Gain mastery over AI integration in Postgres through this live, instructor-led training held in Turkey. You will learn to set up extensions, apply pgvector for embeddings, and link LLMs for instant insights. Fine-tune queries and construct intelligent systems within an interactive live-lab environment.

This 21-hour instructor-led course in Turkey empowers data engineers and DBAs to embed AI models into PostgreSQL. Participants will learn to deploy optimized architectures, implement vector search, and enforce strict governance, resulting in secure, high-performance, enterprise-grade AI solutions.

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 module examines the core PostgreSQL server extensions that enable the incorporation of AI methodologies into database systems, highlighting similarity and semantic search driven by embedding vectors. Participants will learn to deploy PgVector, process vector embeddings, construct vector indexes, and implement semantic search workflows. Practical demonstrations and hands-on activities serve to reinforce key concepts and operational skills.

This hands-on module highlights the practical dimensions of performance tuning in PostgreSQL. Participants will gain the ability to analyze query execution, optimize indexing, fine-tune memory and system parameters, and monitor workloads with precision. By engaging with real-world scenarios and live exercises, learners will discover how to detect and resolve bottlenecks at both the database and system levels.

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.

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.

This instructor-led, live training in Turkey prepares advanced DevOps professionals and database engineers to implement PostgresAI at enterprise scale. Through hands-on exercises in a live-lab environment, participants will master database cloning, AI-driven query optimization, and comprehensive monitoring.

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.