PostgreSQL Administration, Optimization and Replication Training Course

Gain mastery over AI integration in Postgres through this live, instructor-led training in Thailand. You will learn to configure extensions, apply pgvector embeddings, and connect LLMs for real-time insights. Optimize query performance and build intelligent systems in a hands-on live-lab setting.

This 21-hour instructor-led training in Thailand empowers data engineers and DBAs to integrate AI models into PostgreSQL. Participants will learn to deploy optimized architectures, implement vector search, and enforce strict governance, thereby ensuring secure and high-performance enterprise-grade AI solutions.

This course delves into the essential PostgreSQL server extensions and libraries that facilitate the integration of AI techniques within database systems. It highlights critical features such as similarity and semantic search using embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Learners will master the installation of PgVector and PgAI, the generation and loading of vector embeddings, and the creation of vector indexes. The curriculum also covers the implementation of semantic search and RAG, as well as the development of Text-to-SQL applications utilizing LangChain in Python and JavaScript. Through a blend of demonstrations and hands-on practice, students will reinforce their grasp of core concepts and practical skills.

This program explores the core concepts of extending PostgreSQL server capabilities to incorporate AI methodologies into database environments, with a specific focus on similarity and semantic search driven by embedding vectors. Participants will be guided through the process of installing PgVector, generating and importing vector embeddings, constructing vector indexes, and executing semantic queries. Through a combination of live demonstrations and practical exercises, the course solidifies key theoretical principles and enhances applied technical proficiency.

This practical course centers on the real-world application of performance optimization in PostgreSQL. You will learn to interpret query execution, improve indexing, adjust memory and system parameters, and monitor workloads efficiently. By engaging with real-world scenarios and live exercises, you will discover how to identify and address bottlenecks at both the database and system levels.

This course provides the essential knowledge required to install, configure, and manage PostgreSQL databases effectively. Participants will learn how to handle user security, perform backups and restores, manage logs, and tune basic parameters. Through practical exercises, learners will perform real-world administration tasks and prepare for advanced topics such as performance and replication.

This live, instructor-led training in Thailand is designed to equip advanced DevOps professionals and database engineers with the skills to implement PostgresAI at enterprise scale. Through hands-on exercises in a live-lab environment, participants will master key techniques in database cloning, AI-driven query optimization, and comprehensive monitoring.

This course provides a comprehensive look at replication, high availability, and cluster management in PostgreSQL. Participants will gain the skills to build and manage multi-node environments, automate failover configurations, and explore strategies for load balancing and connection pooling. The program includes practical replication labs and recovery simulations.

This instructor-led, live training in Thailand (delivered online or onsite) is tailored for intermediate-level developers and administrators seeking to exploit the latest capabilities and refinements in PostgreSQL 16.

By the end of the session, participants will be prepared to:

• Grasp the architectural design and key components of PostgreSQL 16.
• Utilize advanced SQL functionalities and PostgreSQL extensions.
• Establish security best practices and manage access controls.
• Carry out database administration tasks, including backup, recovery, and monitoring.
• Optimize database performance through tuning and indexing strategies.
• Use PostgreSQL’s internal tools for high availability and replication.
• Connect PostgreSQL with modern application development frameworks.