PostgreSQL Server Administration Training Course

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to integrate artificial intelligence techniques into database systems. Key topics include similarity and semantic search utilizing embedding vectors, Text-to-SQL query processing, and Retrieval-Augmented Generation (RAG). Participants will acquire skills in installing PgVector and PgAI, generating and loading vector embeddings, constructing vector indexes, implementing semantic search and RAG workflows, and building Text-to-SQL applications using LangChain with Python or JavaScript. Through live demonstrations and hands-on exercises, the course reinforces both core theoretical concepts and practical implementation skills.

This course explores the fundamentals of PostgreSQL server extensions designed to incorporate AI techniques into database environments, with a focus on similarity and semantic search driven by embedding vectors. Participants will gain practical skills in installing PgVector, generating and loading vector embeddings, constructing vector indexes, and executing semantic search queries. The curriculum balances theoretical explanations with hands-on exercises and live demonstrations to solidify both conceptual understanding and operational proficiency.

This practical course emphasizes the hands-on techniques for tuning PostgreSQL performance. Participants will gain the skills to analyze query execution, optimize indexing strategies, fine-tune memory and system parameters, and effectively monitor workloads. Through real-world scenarios and live exercises, the course demonstrates how to identify and resolve bottlenecks at both the database and system levels.

In this instructor-led, live training session Serbia (onsite or remote), participants will gain insight into the general and advanced aspects of PostgreSQL, including administration, performance tuning, advanced development, and replication. Learning is facilitated through a series of hands-on, live-lab exercises that cover setup, configuration, testing, deployment, and troubleshooting.

By the conclusion 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.

This program offers comprehensive insights into replication, high availability, and cluster management within the PostgreSQL ecosystem. Attendees will learn to construct and oversee multi-node setups, set up automated failover mechanisms, and investigate load balancing and connection pooling strategies. The curriculum features hands-on replication laboratories and recovery simulations.

This instructor-led, live training in Serbia (online or onsite) targets intermediate-level developers and administrators aiming to leverage the latest features and improvements in PostgreSQL 16.

Upon completion, participants will be able to:

• Grasp the architecture and core components of PostgreSQL 16.
• Leverage advanced SQL capabilities and PostgreSQL extensions.
• Apply security best practices and configure access controls.
• Execute essential database administration tasks, such as backup, recovery, and monitoring.
• Enhance database performance through tuning and indexing strategies.
• Utilize PostgreSQL’s native tools for high availability and replication.
• Integrate PostgreSQL with contemporary application development frameworks.

This instructor-led, live training in Serbia (online or on-site) is designed for database and system administrators who aim to utilize PostgreSQL for managing large-scale data, while optimizing database systems for high availability and performance.

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

• Install and configure PostgreSQL.
• Comprehend the features and architectural framework of PostgreSQL.
• Execute database operations using SQL.
• Implement database backup and recovery procedures to mitigate data loss risks.
• Configure the server to ensure high availability.
• Apply tools and techniques for advanced performance tuning.
• Utilize external tools for monitoring and observability.