PostgreSQL Advanced: Replication and High Availability (RepMgr, PgPool-II) Training Course

Acquire proficiency in integrating AI with Postgres through this instructor-led live training in South Korea. Participants will learn to configure extensions, apply pgvector embeddings, and connect LLMs for immediate insights. The course emphasizes optimizing queries and building intelligent systems within a hands-on live-lab setting.

This 21-hour, instructor-led training in South Korea empowers data engineers and DBAs to seamlessly integrate AI models into PostgreSQL. The curriculum covers deploying optimized architectures, implementing vector search, and enforcing strict governance, ensuring the delivery of secure and high-performance, enterprise-grade AI solutions.

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 program explores the essential PostgreSQL server extensions designed to embed AI capabilities into database architectures, with a specific focus on similarity and semantic search driven by embedding vectors. Participants will acquire the skills necessary to install PgVector, handle the generation and ingestion of vector embeddings, construct vector indexes, and deploy semantic search functionality. Through a combination of live demonstrations and practical exercises, the course aims to solidify both foundational concepts and hands-on proficiency.

Designed as a practical, hands-on experience, this course dives deep into the core techniques of PostgreSQL performance tuning. Learners will master the skills required to dissect query execution paths, refine indexing strategies, fine-tune memory and system configurations, and implement robust workload monitoring. Through immersive real-world case studies and live laboratory exercises, you will develop the capability to pinpoint and eliminate performance bottlenecks across both the database engine and underlying system infrastructure.

This course delivers the essential skills required to install, configure, and manage PostgreSQL databases effectively. It covers user security, backup and restore strategies, log management, and parameter tuning. Through practical, hands-on exercises, you will perform authentic administrative tasks and prepare for advanced topics like performance optimization and replication.

In this instructor-led, live training conducted in South Korea (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 instructor-led, live training in South Korea prepares advanced DevOps professionals and database engineers to implement PostgresAI at an enterprise scale. Through hands-on exercises in a live-lab environment, participants will master database cloning, AI-driven query optimization, and comprehensive monitoring.

This instructor-led live training in South Korea (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.