PostgreSQL AI: Introduction to semantic search Training Course

Master AI integration in Postgres with this instructor-led live training in Vietnam. Learn to configure extensions, implement pgvector embeddings, and connect LLMs for real-time insights. Optimize queries and build intelligent systems in a hands-on live-lab environment.

This 21-hour live training in Vietnam empowers data engineers and DBAs to embed AI models directly into PostgreSQL. Learners will master the deployment of optimized architectures, the implementation of vector search, and the enforcement of strict governance protocols, resulting in secure, high-performance enterprise AI solutions.

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence capabilities 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 how 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 utilizing LangChain with Python or JavaScript. Through demonstrations and hands-on exercises, the core concepts and practical skills are reinforced.

This practical course is dedicated to the art and science of performance tuning within PostgreSQL. Learners will gain the skills to dissect query execution, refine indexing strategies, fine-tune memory and system settings, and implement effective workload monitoring. Through real-world case studies and hands-on practice, participants will discover how to pinpoint and eliminate performance bottlenecks across both the database and underlying system layers.

This program delivers the core competencies needed to deploy, configure, and oversee PostgreSQL databases with confidence. Students will acquire skills in safeguarding user access, executing backup and recovery procedures, overseeing system logs, and optimizing foundational settings. By engaging in hands-on scenarios, learners will apply real-world administrative techniques and build a foundation for advanced subjects such as performance tuning and replication.

In this instructor-led live training in Vietnam (onsite or remote), participants will explore both general and advanced aspects of PostgreSQL. This includes administration, performance tuning, advanced development techniques, and replication. Through a series of hands-on lab exercises, learners will navigate setup, configuration, testing, deployment, and troubleshooting processes.

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

• Utilize advanced administration techniques to configure and manage a PostgreSQL server.
• Optimize databases and queries to achieve maximum performance.
• Implement replication and scaling strategies for PostgreSQL servers.

This instructor-led, live training in Vietnam empowers advanced DevOps professionals and database engineers to implement PostgresAI at an enterprise scale. Participants will gain mastery over database cloning, AI-driven query optimization, and monitoring through hands-on exercises in a live-lab environment.

This course offers a deep dive into PostgreSQL replication, high availability, and cluster management. It enables participants to construct and oversee multi-node environments, configure automated failover, and investigate solutions for load balancing and connection pooling. The program includes live replication labs and recovery simulations to provide practical exposure.

This instructor-led live training in Vietnam (online or onsite) targets intermediate-level developers and administrators aiming to utilize the newest features and improvements in PostgreSQL 16.

By the conclusion of this training, participants will be capable of:

• Understanding the architecture and components of PostgreSQL 16.
• Utilizing advanced SQL features and PostgreSQL extensions.
• Implementing security best practices and access controls.
• Performing database administration tasks, including backup, recovery, and monitoring.
• Optimizing database performance through tuning and indexing strategies.
• Using PostgreSQL's built-in tools for high availability and replication.
• Integrating PostgreSQL with modern application development frameworks.