PostgreSQL Training in Srbija

This live, instructor-led training in Srbija is designed to equip advanced DevOps professionals and database engineers with the skills to implement PostgresAI at an enterprise scale. Through hands-on exercises in a live-lab environment, participants will gain proficiency in database cloning, AI-driven query optimization, and comprehensive monitoring.

This 21-hour instructor-led training in Srbija enables data engineers and DBAs to embed AI models into PostgreSQL. Learners will master the deployment of optimized architectures, the implementation of vector search, and the enforcement of strict governance, thereby ensuring secure and high-performance enterprise-grade AI solutions.

Achieve mastery in AI integration with PostgreSQL through this instructor-led live training in Srbija. Acquire the skills to configure extensions, deploy pgvector embeddings, and link LLMs for instant insights. Enhance query performance and construct intelligent systems within a hands-on live-lab setting.

This instructor-led, live training in Srbija (online or onsite) is designed for beginner-level professionals who wish to learn how to use PostgreSQL for creating databases, writing SQL queries, manipulating data, and managing tables using both SQL commands and PGAdmin. The course also provides a basic introduction to the Timescale extension for time-series data.

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

• Understand relational database principles and PostgreSQL architecture.
• Install, configure, and navigate PostgreSQL and PGAdmin.
• Write and run SQL queries for data selection, filtering, grouping, and joining.
• Manipulate data with SQL statements and manage database objects.
• Create and manage views and explore PostgreSQL extensions like Timescale.

This instructor-led, live training in Srbija (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 program equips learners with the fundamental skills necessary for the effective deployment, setup, and oversight of PostgreSQL database environments. Trainees will explore the administration of user security, the execution of backup and restoration procedures, log management, and the adjustment of core parameters. By engaging in hands-on activities, students will carry out authentic administrative duties and build a strong foundation for more complex concepts such as performance optimization and replication.

In this instructor-led, live training session Srbija (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 instructor-led, live training in Srbija (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.

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.

Ova praktična obuka posvećena je primeni optimizacije performansi u PostgreSQL bazi podataka. Polaznici će naučiti kako da analiziraju izvršenje upita, optimizuju indeksiranje, podesi parametre memorije i sistema, kao i da efikasno monitorišu radna opterećenja. Kroz scenarioima iz stvarnog sveta i vežbe uživo, prikazaćemo kako da identifikujemo i rešimo uske grla na nivou baze podataka i sistema.

This module delivers an in-depth look at replication, high availability, and cluster management in PostgreSQL. It guides learners through constructing multi-node environments, automating failover procedures, and implementing load balancing and connection pooling. The training includes hands-on sessions for live replication and recovery drills.

This intensive, one-day practical workshop focuses on the design and implementation of distributed databases using the Citus extension for PostgreSQL.
Participants will learn techniques for sharding large datasets, managing distributed queries, and building scalable, fault-tolerant PostgreSQL clusters.
Practical labs and real-world examples will cover performance tuning, replication integration, and distributed workload management