PostgreSQL Training in Varna

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 DevOps professionals and database engineers looking to implement PostgresAI at an enterprise scale for database monitoring, cloning, and AI-driven optimization.

Upon completing this training, participants will be capable of:

• Deploying and configuring PostgresAI within enterprise environments.
• Integrating PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Utilizing AI-driven insights for query optimization and performance tuning.
• Implementing governance, auditing, and data privacy controls for cloned environments.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Customization Options

• For customized training requests, please contact us to arrange.

PostgreSQL is a robust, open-source relational database that can be augmented with AI capabilities to enable enterprise data intelligence, predictive analytics, and automation.

This instructor-led live training (available online or onsite) targets intermediate to advanced data engineers, DBAs, and solution architects who aim to design, implement, and govern enterprise-grade AI systems leveraging PostgreSQL.

Upon completing this program, participants will acquire the expertise to:

• Integrate AI models and vector search functionalities directly into PostgreSQL.
• Deploy AI-optimized architectures suited for high-volume enterprise workloads.
• Establish robust governance, auditing, and compliance for AI data pipelines.
• Securely utilize both open-source and proprietary AI frameworks within PostgreSQL environments.

Format of the Course

• Interactive lectures combined with enterprise case discussions.
• Practical exercises and real-world lab sessions.
• Hands-on implementation within a live PostgreSQL environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

Postgres is an advanced open-source relational database that can serve as a foundation for AI-powered systems and data intelligence applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level database professionals and developers who wish to integrate, manage, and optimize AI capabilities directly within Postgres.

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

• Set up and configure Postgres extensions for AI workloads.
• Implement embeddings and similarity search using pgvector.
• Integrate open source and proprietary LLMs with Postgres for real-time insights.
• Optimize Postgres for handling AI-driven queries and workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led live training in Varna (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 Varna (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.

This course focuses on programmatic interaction with PostgreSQL databases. Participants will acquire the techniques, syntax, and structural knowledge required to build robust applications using a PostgreSQL backend. The training also includes SQL Tuning, highlighting best practices for writing efficient SQL code.

The target audience consists of developers looking to utilize or extend PostgreSQL capabilities, as well as database architects.

This course is tailored for Database Administrators and Architects seeking to master PostgreSQL from the ground up.

Participants will gain comprehensive knowledge of PostgreSQL's architecture, installation procedures, database design principles, and essential backup and recovery techniques.

In this instructor-led, live training session held in Varna (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 course is tailored for Database Administrators and Architects seeking to enhance PostgreSQL database performance. Participants will learn how to monitor slow-running workloads, identify potential bottlenecks in queries, and configure essential parameters to achieve optimal system efficiency.

This course is tailored for Database Administrators and Architects seeking to master the tools and techniques required for implementing Backups, High Availability, and Database Security in PostgreSQL.
Participants will also gain skills in identifying slow queries, monitoring database performance, and optimizing PostgreSQL for peak efficiency.

Ensuring zero-downtime PostgreSQL deployments requires mastery of Streaming Replication and automated failover management. This course explores synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and monitoring of streaming configurations. Participants will learn to deploy pgpool-II for connection pooling, establish automated high availability setups, and achieve production-grade database reliability for critical enterprise environments supporting high-traffic business applications.

This instructor-led live training in Varna (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 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.