PostgreSQL AI: Introduction to semantic search Training Course

Gain mastery in integrating AI with PostgreSQL through this live, instructor-led training in Taiwan. Learn to configure extensions, deploy pgvector embeddings, and link LLMs for immediate insights. Refine queries and develop intelligent systems in a practical live-lab setting.

This 21-hour instructor-led training in Taiwan enables data engineers and DBAs to integrate AI models into PostgreSQL. Participants will learn to deploy optimized architectures, implement vector search, and enforce strict governance, thereby ensuring secure and high-performance enterprise-grade AI solutions.

This course explores the foundational aspects of PostgreSQL server extensions and libraries that enable the integration of artificial intelligence techniques within database systems. Key topics include similarity and semantic search leveraging embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Participants will learn to install PgVector and PgAI, generate and load vector embeddings, establish vector indexes, implement semantic search and RAG mechanisms, and develop Text-to-SQL applications using LangChain with Python or JavaScript. Through demonstrations and hands-on exercises, the course reinforces core concepts and practical skills.

This hands-on training emphasizes the practical dimensions of PostgreSQL performance optimization. Students will acquire the ability to evaluate query behavior, improve indexing approaches, calibrate memory and system parameters, and effectively monitor workload demands. By engaging with real-world examples and live exercises, participants will learn how to detect and address performance bottlenecks at both the database and system levels.

Gain the fundamental skills necessary to deploy, fine-tune, and oversee PostgreSQL databases with confidence. This program guides you through handling user security, executing backups and restorations, overseeing logs, and adjusting core parameters. By engaging in hands-on activities, you will apply real-world administrative techniques and build a strong foundation for advanced concepts like performance optimization and replication.

In this instructor-led live training conducted in Taiwan (onsite or remote), participants will explore the general and advanced aspects of PostgreSQL. The program includes administration, performance tuning, advanced development, and replication, delivered through a series of hands-on live-lab exercises covering 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 Taiwan empowers advanced DevOps professionals and database engineers to implement PostgresAI at an enterprise scale. Through hands-on exercises in a live-lab environment, participants will gain mastery over database cloning, AI-driven query optimization, and monitoring.

This course offers comprehensive insights into PostgreSQL replication, high availability, and cluster management. It guides participants through building and managing multi-node setups, automating failover, and implementing load balancing and connection pooling. The curriculum features practical replication labs and recovery simulation exercises.

This instructor-led, live training in Taiwan (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.