PostgreSQL AI: Introduction to semantic search Training Course

Gained expertise in integrating AI with Postgres through this live, instructor-led training in Latvia. Participants will learn to configure extensions, apply pgvector for embeddings, and connect LLMs for immediate insights. The course emphasizes optimizing queries and constructing intelligent systems within a practical, hands-on lab setting.

This 21-hour live training in Latvia guides data engineers and DBAs in embedding AI models into PostgreSQL. Learners will master the deployment of optimized architectures, implementation of vector search, and enforcement of strict governance protocols, resulting in secure, high-performance enterprise-grade AI solutions.

This module explores the integration of artificial intelligence within database environments by leveraging PostgreSQL extensions and libraries. It focuses on advanced capabilities such as similarity and semantic search through embedding vectors, Text-to-SQL interactions, and Retrieval-Augmented Generation (RAG). Participants will master the installation and configuration of PgVector and PgAI, as well as the generation and loading of vector embeddings. The curriculum also covers the creation of vector indexes, the implementation of semantic search and RAG, and the development of Text-to-SQL applications using LangChain in Python or JavaScript. Through a blend of live demonstrations and hands-on exercises, learners will solidify their understanding of these core concepts and practical skills.

This practical course is dedicated to the core aspects of performance tuning within PostgreSQL. Learners 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 live practicals, the course illustrates how to pinpoint and eliminate performance bottlenecks across both database and system layers.

This course equips learners with the critical skills needed to install, configure, and administer PostgreSQL databases with confidence. You will gain practical expertise in managing user security, executing backups and restorations, overseeing logs, and optimizing fundamental parameters. By engaging in hands-on exercises, participants will execute real-world administrative tasks, laying a solid foundation for advanced concepts such as performance tuning and replication.

In this instructor-led live training conducted in Latvia (onsite or remote), participants will delve into the general and advanced aspects of PostgreSQL. The course covers administration, performance tuning, advanced development, and replication through a series of hands-on, live lab exercises focused on setup, configuration, testing, deployment, and troubleshooting.

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

• Utilize advanced administrative techniques to configure and manage a PostgreSQL server.
• Optimize database and query performance for maximum efficiency.
• Replicate and scale PostgreSQL servers.

This live, instructor-led training in Latvia empowers senior DevOps professionals and database engineers to implement PostgresAI at scale. Through hands-on exercises in a live-lab environment, participants will master database cloning, AI-driven query optimization, and real-time monitoring.

This module provides a deep dive into replication, high availability, and cluster management for PostgreSQL. Participants will learn to build and control multi-node setups, configure automated failover, and examine load balancing and connection pooling options. The program incorporates live replication labs and recovery simulations.

This live, instructor-led training session, offered in Latvia (either online or on-site), is designed for intermediate-level developers and administrators looking to utilize the newest features and improvements in PostgreSQL 16.

By the end of this session, participants will be capable of:

• Understanding the architecture and components of PostgreSQL 16.
• Utilizing advanced SQL features and PostgreSQL extensions.
• Implementing security best practices and access controls.
• Executing database administration tasks, including backup, recovery, and monitoring.
• Optimizing database performance through tuning and indexing strategies.
• Utilizing PostgreSQL's built-in tools for high availability and replication.
• Integrating PostgreSQL with modern application development frameworks.