PostgreSQL Training in Seoul

PostgresAI is a platform designed to empower database teams with AI-driven automation for cloning, testing, and optimizing PostgreSQL environments.

This instructor-led training, available online or onsite, targets advanced DevOps professionals and database engineers seeking to implement PostgresAI at an enterprise level for enhanced database monitoring, cloning, and AI-driven optimization.

Upon completing this training, participants will be equipped to:

• Deploy and configure PostgresAI within enterprise settings.
• Seamlessly integrate PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Utilize AI-driven insights to optimize queries and fine-tune performance.
• Establish governance, auditing, and data privacy controls for cloned environments.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation in a live laboratory environment.

Customization Options

• For customized training arrangements, please contact us to discuss your specific needs.

PostgreSQL is a robust, open-source relational database that can be significantly enhanced with AI capabilities to support enterprise data intelligence, predictive analytics, and process automation.

This instructor-led live training, available online or on-site, is designed for intermediate to advanced data engineers, database administrators (DBAs), and solution architects looking to design, implement, and govern enterprise-grade AI systems utilizing PostgreSQL.

Upon completing this program, participants will acquire the skills necessary to:

• Seamlessly integrate AI models and vector search functionalities directly into PostgreSQL.
• Deploy AI-optimized architectures tailored for high-volume enterprise workloads.
• Establish comprehensive governance, auditing, and compliance frameworks for AI data pipelines.
• Safely utilize both open-source and proprietary AI frameworks within PostgreSQL ecosystems.

Course Format

• Engaging lectures coupled with enterprise case study discussions.
• Practical exercises and real-world laboratory sessions.
• Hands-on implementation in a live PostgreSQL environment.

Customization Options

• For customized training requirements, please contact us to make arrangements.

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 Seoul (online or onsite) is designed for beginner-level professionals seeking to learn PostgreSQL. Participants will gain skills in creating databases, writing SQL queries, manipulating data, and managing tables via SQL commands and PGAdmin. Additionally, the course offers a basic introduction to the Timescale extension for time-series data.

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

• Understand relational database principles and PostgreSQL architecture.
• Install, configure, and navigate PostgreSQL and PGAdmin.
• Write and run SQL queries for data selection, filtering, grouping, and joining.
• Manipulate data with SQL statements and manage database objects.
• Create and manage views and explore PostgreSQL extensions like Timescale.

This instructor-led live training in Seoul (online or onsite) is designed for intermediate-level developers and administrators aiming to utilize the latest features and improvements in PostgreSQL 16.

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

• Comprehend the architecture and core components of PostgreSQL 16.
• Leverage advanced SQL capabilities and PostgreSQL extensions.
• Apply security best practices and configure access controls.
• Execute essential database administration tasks, such as backup, recovery, and monitoring.
• Enhance database performance through tuning and indexing strategies.
• Utilize PostgreSQL's native tools for high availability and replication.
• Integrate PostgreSQL with contemporary application development frameworks.

Effectively managing and developing PostgreSQL databases demands a profound understanding of performance tuning, database replication, and connection pooling. This course provides comprehensive coverage of server administration, SQL fundamentals, client interfaces, server-side programming, and database internals. Through practical, hands-on training, DBAs and developers will gain the skills necessary to optimize query execution, manage backups, configure monitoring systems, and establish robust, production-ready configurations for enterprise-level PostgreSQL environments.

This course is designed to help learners master the programmatic interaction with PostgreSQL databases. It covers the essential techniques, syntaxes, and structural concepts required to build high-quality applications backed by PostgreSQL. Additionally, the training includes SQL Tuning, focusing on best practices for writing highly efficient SQL code.

The target audience consists of developers who wish to utilize or extend PostgreSQL capabilities, as well as database architects.

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

Participants will gain comprehensive knowledge of PostgreSQL architecture, installation procedures, design principles, and techniques for performing database backups and recovery.

In this instructor-led, live training conducted in Seoul (onsite or remote), participants will explore both general and advanced aspects of PostgreSQL. The curriculum includes administration, performance tuning, advanced development, and replication, reinforced by hands-on, live-lab exercises that cover 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 is tailored for Database Administrators and Architects aiming to enhance the performance of PostgreSQL databases. Participants will learn how to capture slow query logs, identify potential bottlenecks within queries, and explore critical parameters that must be adjusted to achieve optimal system performance.

This course is tailored for Database Administrators and Architects seeking to master the tools and methodologies required to implement robust backups, high availability solutions, and comprehensive database security within PostgreSQL.
Participants will also gain insights into identifying slow queries, monitoring database performance, and optimizing PostgreSQL for peak efficiency.

Delivering zero-downtime PostgreSQL deployments requires mastery of Streaming Replication and automated failover management. This course provides in-depth coverage of synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and monitoring streaming configurations. You will learn how to deploy pgpool-II for connection pooling and automated high availability, ensuring production-grade database reliability for critical enterprise environments that support high-traffic business applications.

This instructor-led, live training in Seoul (online or on-site) targets database administrators and system administrators who wish to utilize PostgreSQL for managing large-scale data while optimizing database systems for high availability and performance.

Upon completing this training, participants will be capable of:

• Installing and configuring PostgreSQL.
• Gaining insight into the features and architecture of PostgreSQL.
• Executing database operations using SQL.
• Performing database backup and recovery procedures to mitigate data loss.
• Configuring servers for high availability.
• Utilizing tools and techniques for high-performance tuning.
• Exploring external tools for monitoring and observability.

This course explores the core concepts of PostgreSQL server extensions and libraries designed to integrate AI capabilities into database systems. Key topics include 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, build vector indexes, implement semantic search and RAG workflows, and develop Text-to-SQL applications with LangChain in Python or JavaScript. Demonstrations and hands-on exercises reinforce essential concepts and practical skills.

This practical course delves into the essential techniques for tuning PostgreSQL performance. Participants will gain skills in analyzing query execution, optimizing indexing strategies, configuring memory and system settings, and effectively monitoring workloads. Through real-world case studies and hands-on exercises, attendees will learn to identify and resolve performance bottlenecks at both the database and system levels.

This course delves into the complexities of replication, high availability, and cluster management within PostgreSQL. Participants will gain hands-on experience in constructing and managing multi-node environments, setting up automated failover mechanisms, and investigating load balancing and connection pooling strategies. The curriculum features practical replication laboratories and simulated recovery scenarios.

This intensive one-day, hands-on course centers on the design and implementation of distributed databases using the Citus extension for PostgreSQL.
Participants will learn how to shard large datasets, manage distributed queries, and construct scalable, fault-tolerant PostgreSQL clusters.
Through real-world examples and practical labs, the course demonstrates performance tuning, replication integration, and distributed workload management.