PostgreSQL Training in Sofia

This live, instructor-led training in Sofia is designed to prepare advanced DevOps professionals and database engineers for enterprise-scale PostgresAI implementation. Participants will gain proficiency in database cloning, AI-driven query optimization, and comprehensive monitoring through hands-on exercises in a live-lab setting.

This 21-hour instructor-led training in Sofia guides data engineers and DBAs in integrating AI models into PostgreSQL. Learners will develop the skills to deploy optimized architectures, implement vector search, and enforce strict governance, thereby ensuring secure and high-performance enterprise-grade AI solutions.

Gain mastery over AI integration in Postgres through this instructor-led live training in Sofia. You will learn to configure necessary extensions, implement pgvector embeddings, and link LLMs for instant insights. Furthermore, you will optimise queries and construct intelligent systems within a practical, hands-on live-lab setting.

This instructor-led live training in Sofia (online or onsite) targets beginner-level professionals aiming to learn how to utilize PostgreSQL for database creation, SQL query writing, data manipulation, and table management via SQL commands and PGAdmin. The course also offers a fundamental introduction to the Timescale extension for time-series data.

By the conclusion 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 Sofia (online or onsite) targets intermediate-level developers and administrators seeking to utilize the latest features and improvements in PostgreSQL 16.

Upon completing this training, participants will be equipped to:

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

Designed to impart the vital knowledge for installing, configuring, and managing PostgreSQL databases, this course guides you through user security, backup and restore procedures, log management, and parameter tuning. Through practical application, you will execute real-world administrative duties and prepare for complex topics such as performance enhancement and replication.

In this instructor-led, live training session held in Sofia (on-site or remote), participants will gain knowledge of the general and advanced aspects of PostgreSQL. The course includes administration, performance tuning, advanced development, and replication, delivered through a series of hands-on, live-lab exercises covering 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 a PostgreSQL server.
• Optimize the database and queries to maximize performance.
• Replicate and scale a PostgreSQL server.

This instructor-led live training in Sofia (online or onsite) is designed for database and system administrators who wish to use PostgreSQL to manage large-scale data while optimizing database systems for high availability and performance.

Upon completing this training, participants will be able to:

• Install and configure PostgreSQL.
• Understand the features and architecture of PostgreSQL.
• Perform database operations using SQL.
• Execute database backups and recovery procedures to prevent data loss.
• Configure the server for high availability.
• Utilize tools and techniques for high-performance tuning.
• Explore external tools for monitoring and observability.

This course explores the core aspects of PostgreSQL server extensions and libraries designed to embed artificial intelligence capabilities into database environments. 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 mechanisms, and building Text-to-SQL applications with LangChain using Python or JavaScript. Practical demonstrations and hands-on exercises are integrated to solidify theoretical understanding and technical proficiency.

This module delves into the core mechanics of PostgreSQL server extensions that facilitate the integration of AI techniques into database systems. It places particular emphasis on similarity and semantic search utilizing embedding vectors. Learners will acquire the skills necessary to install PgVector, generate and load vector embeddings, build vector indexes, and apply semantic search strategies. Through a combination of demonstrative examples and practical application, the course reinforces essential concepts and operational expertise.

This practical course delves into the essential aspects of performance tuning within PostgreSQL. Participants will acquire skills in analysing query execution, optimizing indexing strategies, fine-tuning memory and system settings, and effectively monitoring workloads. Through real-world case studies and live exercises, attendees will learn how to identify and resolve performance bottlenecks at both the database and infrastructure levels.

This course offers a comprehensive exploration of replication, high availability, and cluster management within PostgreSQL. Participants will gain hands-on experience in building and administering multi-node setups, setting up automated failover, and evaluating load balancing and connection pooling strategies. The curriculum features practical replication labs and disaster recovery simulations.

This immersive, one-day practical course is dedicated to the design and implementation of distributed databases using the Citus extension for PostgreSQL.
Attendees will gain expertise in sharding extensive datasets, orchestrating distributed queries, and constructing scalable, fault-tolerant PostgreSQL clusters.
Through real-world case studies and hands-on labs, participants will explore performance tuning, replication integration, and the management of distributed workloads.