PostgreSQL AI: Introduction to semantic search 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 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.

This instructor-led live training in Uzbekistan (online or onsite) targets intermediate-level developers and administrators eager to exploit the latest features and improvements in PostgreSQL 16.

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

• Comprehend the architecture and components of PostgreSQL 16.
• Utilize advanced SQL features and PostgreSQL extensions.
• Implement security best practices and access controls.
• Perform database administration tasks, including backup, recovery, and monitoring.
• Optimize database performance through tuning and indexing strategies.
• Utilize PostgreSQL's built-in tools for high availability and replication.
• Integrate PostgreSQL with modern application development frameworks.