Online PostgreSQL Training in Romania

This live, instructor-led training in Romania prepares advanced DevOps professionals and database engineers to implement PostgresAI at 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 course in Romania guides data engineers and DBAs through integrating AI models into PostgreSQL. Learners will master deploying optimized architectures, implementing vector search, and enforcing strict governance to ensure secure, high-performance enterprise-grade AI solutions.

Achieve mastery in AI integration with Postgres through this live, instructor-led training in Romania. Participants will learn to configure necessary extensions, implement pgvector embeddings, and connect LLMs to drive real-time insights. Additionally, the course focuses on query optimization and building intelligent systems within a practical live-lab setting.

This instructor-led, live training in Romania (online or onsite) is designed for beginner-level professionals who want 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 program equips learners with the core competencies needed to deploy, configure, and oversee PostgreSQL environments with confidence. You will gain proficiency in securing user access, executing robust backup and restoration procedures, overseeing logging activities, and optimizing foundational parameters. By engaging in hands-on exercises, you will execute practical administrative duties while building the foundation for more complex subjects such as performance tuning and data replication.

This course delves into the core concepts of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence capabilities within database environments. Key topics include similarity and semantic search using embedding vectors, converting natural language queries into SQL (Text-to-SQL), and implementing Retrieval-Augmented Generation (RAG). Participants will acquire hands-on expertise in installing PgVector and PgAI, as well as generating and loading vector embeddings, constructing vector indexes, executing semantic search and RAG workflows, and building Text-to-SQL applications with LangChain using Python or JavaScript. Practical demonstrations and interactive exercises are used to solidify these essential concepts and skills.

This course examines the fundamental principles of PostgreSQL server extensions that facilitate the integration of AI techniques into database systems, particularly regarding similarity and semantic search based on embedding vectors. Participants will learn to install PgVector, generate and load vector embeddings, build vector indexes, and perform semantic searches. The curriculum reinforces key concepts and practical capabilities through live demonstrations and hands-on practice.

This practical course delves into the essential aspects of optimizing PostgreSQL performance. Learners will gain expertise in dissecting query execution, refining indexing strategies, fine-tuning memory and system settings, and effectively overseeing workloads. Through real-world case studies and interactive sessions, you will discover how to pinpoint and eliminate performance bottlenecks across both database and system layers.

This hands-on, three-day course provides a comprehensive set of skills needed to build resilient applications with PostgreSQL.
Attendees will master advanced SQL techniques, procedural programming using PL/pgSQL, and database design strategies that enhance both performance and maintainability.
Practical exercises center on developing stored functions, triggers, and automation logic directly within the PostgreSQL environment.

This course offers an in-depth examination of replication, high availability, and cluster management in PostgreSQL. Participants will engage in building and managing multi-node environments, setting up failover automation, and investigating load balancing and connection pooling options. The training features live replication labs and simulated recovery scenarios.

This intensive, one-day practical course is dedicated to the design and implementation of distributed databases using the Citus extension for PostgreSQL. Participants will explore techniques for sharding large datasets, managing distributed queries, and constructing scalable, fault-tolerant PostgreSQL clusters. Through real-world examples and hands-on labs, the course covers performance tuning, integration with replication, and the management of distributed workloads.