PostgresAI at Enterprise Scale: Monitoring, Cloning & AI-Driven Operations 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 course in Malaysia empowers data engineers and DBAs to integrate AI models into PostgreSQL. Learners will master the deployment of optimized architectures, the implementation of vector search, and the enforcement of strict governance, ensuring secure, high-performance, and 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 delves into the core components of PostgreSQL performance tuning. Learners will gain 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 practical sessions, the course illustrates how to pinpoint and eliminate bottlenecks across both database and system layers.

This module delivers the fundamental expertise needed to install, configure, and administer PostgreSQL database systems efficiently. Learners will gain insight into managing user security, executing backup and recovery operations, overseeing logs, and adjusting basic configuration parameters. Through applied practical tasks, participants will practice real-world administrative duties while preparing for more complex topics like performance tuning and data replication.

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 course provides an in-depth look at replication, high availability, and cluster management in PostgreSQL. It enables participants to develop and administer multi-node environments, configure automated failover, and investigate load balancing and connection pooling options. The learning experience includes live replication labs and recovery simulations.

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.