PostgreSQL Advanced: Scalability and Sharding (Citus) Training Course

Gain expertise in AI integration within PostgreSQL through this instructor-led live session in Uzbekistan. Master the configuration of extensions, the implementation of pgvector embeddings, and the connection of LLMs for real-time data insights. This course offers a hands-on live-lab experience to optimize queries and build intelligent systems.

This 21-hour live training in Uzbekistan empowers data engineers and DBAs to integrate AI models into PostgreSQL. Learners will master the deployment of optimized architectures, implementation of vector search, and enforcement of strict governance standards to ensure secure, high-performance enterprise AI solutions.

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence into database systems. Key topics include similarity and semantic search using embedding vectors, Text-to-SQL query generation, and Retrieval-Augmented Generation (RAG). Participants will learn to install PgVector and PgAI, generate and load vector embeddings, construct vector indexes, implement semantic search and RAG workflows, and build Text-to-SQL applications with LangChain in Python or JavaScript. Through demonstrations and practical exercises, learners will reinforce essential concepts and hands-on skills.

This course explores the core capabilities of PostgreSQL server extensions designed to embed AI functionalities directly into database systems. A primary focus is on leveraging embedding vectors for advanced similarity and semantic search. Participants will master the process of installing PgVector, generating and loading vector embeddings, constructing efficient vector indexes, and executing semantic queries. Through a blend of live demonstrations and practical exercises, learners will solidify their understanding of key concepts while developing hands-on proficiency in these modern data techniques.

This practical course delves into the art of optimizing PostgreSQL performance. Students will develop the skills to dissect query execution, refine indexing strategies, fine-tune memory and system settings, and oversee workloads with precision. Through real-world case studies and interactive exercises, you will discover how to pinpoint and eliminate performance bottlenecks across both database and system architectures.

This course equips participants with the core competencies needed to install, configure, and maintain PostgreSQL databases with confidence. Learners will master essential tasks such as enforcing user security, executing robust backup and restore procedures, overseeing log management, and optimizing fundamental parameters. By engaging in hands-on exercises, students will apply real-world administrative techniques and build a solid foundation for advanced concepts like performance tuning and replication.

In this instructor-led live training held at Uzbekistan (onsite or remote), participants will delve into the general and advanced facets of PostgreSQL, including administration, performance tuning, advanced development, and replication. The learning process involves a series of hands-on, live-lab exercises that cover 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 for maximum performance.
• Replicate and scale a PostgreSQL server.

This instructor-led, live training in Uzbekistan equips advanced DevOps professionals and database engineers to implement PostgresAI at enterprise scale. Participants will master database cloning, AI-driven query optimization, and monitoring using hands-on exercises in a live-lab environment.

Explore the depths of PostgreSQL replication, high availability, and cluster management. This program covers the construction of multi-node environments, the configuration of automated failover, and the implementation of load balancing and connection pooling. Practical exercises include live replication labs and disaster recovery simulations.