PostgreSQL AI: Introduction to semantic search Training Course

Gain mastery in AI integration with Postgres through this live, instructor-led training held in Mexico. Participants will learn to configure extensions, implement pgvector embeddings, and link LLMs for immediate insights. This program emphasizes query optimization and the construction of intelligent systems within a practical, hands-on live-lab setting.

This 21-hour instructor-led training in Mexico 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, ensuring secure and high-performance enterprise-grade AI solutions.

This course explores the core concepts 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 how to install PgVector and PgAI, generate and load vector embeddings, create vector indexes, implement semantic search and RAG, and develop Text-to-SQL applications using LangChain with Python or JavaScript. The course emphasizes demonstrations and hands-on practice to reinforce core concepts and practical skills.

This practical course focuses on the core principles of performance tuning in PostgreSQL. Participants will master the analysis of query execution, the optimization of indexing strategies, the fine-tuning of memory and system parameters, and the effective monitoring of workloads. Through real-world scenarios and live exercises, the curriculum demonstrates how to pinpoint and resolve performance bottlenecks at both the database and system levels.

This course delivers the critical insights necessary to successfully install, set up, and administer PostgreSQL databases. You will develop skills in securing user access, executing backup and restore operations, handling logs, and adjusting basic parameters. Through practical, scenario-based exercises, you will perform authentic administrative duties and position yourself for advanced study in performance optimization and replication.

This instructor-led, live training in Mexico (onsite or remote) covers both general and advanced aspects of PostgreSQL. Participants will explore administration, performance tuning, advanced development, and replication through a series of hands-on, live-lab exercises that involve 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 live, instructor-led training in Mexico is designed to equip advanced DevOps professionals and database engineers with the skills to implement PostgresAI at an enterprise level. Through hands-on exercises in a live-lab setting, participants will master database cloning, AI-driven query optimization, and comprehensive monitoring.

This course delivers an in-depth exploration of replication, high availability, and cluster management in PostgreSQL. It enables participants to assemble and control multi-node environments, implement automated failover, and examine load balancing and connection pooling options. The learning experience includes practical replication labs and recovery drills.

This instructor-led, live training in Mexico (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.