PostgreSQL Server Administration Training Course

Gain mastery over AI integration in Postgres through this instructor-led live training in Malaysia. You will learn to configure essential extensions, implement pgvector embeddings, and connect LLMs for instant insights. This hands-on live-lab experience allows you to optimize queries and build intelligent systems efficiently.

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

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to integrate artificial intelligence techniques into database systems. Key topics include similarity and semantic search using embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Participants will learn to install PgVector and PgAI, generate and load vector embeddings, create vector indexes, implement semantic search and RAG, and develop Text-to-SQL applications with LangChain using Python or JavaScript. Demonstrations and practical exercises reinforce core concepts and essential skills.

This program explores the core aspects of PostgreSQL server extensions designed to embed AI capabilities into database architectures, with a focus on similarity and semantic search utilizing embedding vectors. Learners will acquire the skills to install PgVector, process and store vector embeddings, build vector indexes, and execute semantic queries. The training combines live demonstrations with practical exercises to solidify theoretical understanding and technical proficiency.

This practical course centres on the hands-on techniques for tuning PostgreSQL performance. Participants will acquire the skills to analyse query execution, refine indexing strategies, tune memory and system configurations, and effectively monitor workloads. Through real-world case studies and live demonstrations, learners will discover how to pinpoint and eliminate bottlenecks at both the database and system infrastructure levels.

In this instructor-led, live training in Malaysia (onsite or remote), participants will explore the general and advanced aspects of PostgreSQL, including administration, performance tuning, advanced development, and replication, through a series of hands-on, live-lab exercises involving setup, configuration, testing, deployment, and troubleshooting.

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

• Use 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 Malaysia prepares advanced DevOps professionals and database engineers to implement PostgresAI at enterprise scale. Through hands-on exercises in a live-lab environment, participants will master database cloning, AI-driven query optimization, and monitoring.

This programme offers comprehensive insights into replication, high availability, and cluster management within PostgreSQL. Participants will gain hands-on experience in building and managing multi-node environments, configuring automated failover systems, and exploring solutions for load balancing and connection pooling. The curriculum features live replication labs and recovery simulations to reinforce learning.

This instructor-led, live training in Malaysia (online or onsite) is aimed at intermediate-level developers and administrators who wish to leverage the latest features and improvements in PostgreSQL 16.

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

• Understand 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.