PostgreSQL Training in Kuala Lumpur

PostgresAI serves as a specialized platform empowering database teams to clone, test, and optimize PostgreSQL setups through AI-driven automation.

This instructor-led live training, available both online and onsite, is designed for advanced DevOps professionals and database engineers aiming to deploy PostgresAI at an enterprise level for database monitoring, cloning, and AI-driven optimization.

Upon completion of this training, participants will be capable of:

• Deploying and configuring PostgresAI within enterprise infrastructure.
• Integrating PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Utilizing AI-generated insights to enhance query performance and tuning.
• Establishing governance, auditing, and data privacy controls for cloned environments.

Course Delivery Format

• Interactive lectures and discussions.
• Extensive exercises and practical applications.
• Hands-on implementation in a live-lab setting.

Customization Options

• For bespoke training arrangements, please reach out to us to discuss your requirements.

PostgreSQL is a powerful, open-source relational database that can be enhanced with AI capabilities for enterprise data intelligence, predictive analytics, and automation.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level data engineers, DBAs, and solution architects who wish to design, implement, and govern enterprise-grade AI systems that leverage PostgreSQL.

By completing this program, participants will gain the expertise to:

• Integrate AI models and vector search capabilities directly into PostgreSQL.
• Deploy AI-optimized architectures for high-volume enterprise workloads.
• Implement robust governance, auditing, and compliance for AI data pipelines.
• Leverage open source and proprietary AI frameworks securely within PostgreSQL environments.

Format of the Course

• Interactive lectures and enterprise case discussions.
• Practical exercises and real-world labs.
• Hands-on implementation in a live PostgreSQL environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Postgres is an advanced open-source relational database that can serve as a foundation for AI-powered systems and data intelligence applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level database professionals and developers who wish to integrate, manage, and optimize AI capabilities directly within Postgres.

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

• Set up and configure Postgres extensions for AI workloads.
• Implement embeddings and similarity search using pgvector.
• Integrate open source and proprietary LLMs with Postgres for real-time insights.
• Optimize Postgres for handling AI-driven queries and workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Kuala Lumpur (online or onsite) is designed for beginner-level professionals eager to learn how to utilise PostgreSQL for database creation, SQL query writing, data manipulation, and table management via both SQL commands and PGAdmin. Additionally, the course offers a foundational introduction to the Timescale extension for handling time-series data.

Upon completion of this training, participants will be able to:

• Comprehend the principles of relational databases and PostgreSQL architecture.
• Install, configure, and navigate PostgreSQL and PGAdmin.
• Write and execute SQL queries for data selection, filtering, grouping, and joining.
• Manipulate data using SQL statements and manage database objects effectively.
• Create and manage views, as well as explore PostgreSQL extensions such as Timescale.

This instructor-led, live training in Kuala Lumpur (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.

Managing and developing PostgreSQL databases necessitates a profound understanding of performance optimization, database replication, and connection pooling. This course encompasses server administration, fundamental SQL concepts, client interfaces, server-side programming, and the internal workings of the database. Practical training empowers DBAs and developers to enhance query execution, manage backups, configure monitoring, and establish robust, production-grade configurations for enterprise-level PostgreSQL environments.

This course delves into the programmatic interaction with PostgreSQL databases. Participants will master the techniques, syntaxes, and structural concepts essential for building robust applications backed by PostgreSQL. The training also encompasses SQL Tuning, offering best practices for crafting highly efficient SQL queries.

This course is designed for developers aiming to utilise or extend PostgreSQL capabilities, as well as database architects seeking to deepen their expertise.

This training is tailored for Database Administrators and Architects seeking to master PostgreSQL from the ground up.

Participants will gain a comprehensive understanding of PostgreSQL's architecture, installation processes, database design principles, and the essential techniques for performing backup and recovery operations.

In this instructor-led, live training in Kuala Lumpur (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 training is tailored for Database Administrators and Architects aiming to optimize PostgreSQL databases for peak performance. You will learn how to monitor slow-running workloads and identify potential bottlenecks within queries. The curriculum also highlights the critical parameters that require tuning to achieve optimal performance.

This course is tailored for Database Administrators and Architects seeking to master the tools and methodologies required for implementing robust Backups, High Availability solutions, and Database Security within PostgreSQL.
Participants will also gain proficiency in identifying slow queries, monitoring database performance, and tuning PostgreSQL to achieve optimal efficiency.

Deploying PostgreSQL with zero downtime requires expert management of streaming replication and automated failover. This course explores synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and monitoring of streaming configurations. Participants will learn to deploy pgpool-II for connection pooling and automated high availability, ensuring production-grade database reliability for critical enterprise environments supporting high-traffic business applications.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at database admins and sysadmins who wish to use PostgreSQL to manage large-scale data while optimizing the database systems for high availability and performance.

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

• Install and configure PostgreSQL.
• Understand the features and architecture of PostgreSQL.
• Learn how to perform database operations with SQL.
• Perform database backup and recovery to prevent data loss.
• Configure the server for high availability.
• Learn the tools and techniques for high performance tuning.
• Explore the external tools for monitoring and observability.

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 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.

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 intensive one-day practical course centres on the design and implementation of distributed databases using the Citus extension for PostgreSQL.
Participants will acquire skills in sharding large datasets, managing distributed queries, and constructing scalable, fault-tolerant PostgreSQL clusters.
Through real-world examples and hands-on labs, attendees will gain insights into performance tuning, replication integration, and the management of distributed workloads.