PostgreSQL AI: Introduction to semantic search Training Course

Gain expertise in integrating AI with Postgres through this live, instructor-led training in the UAE. Discover how to configure extensions, apply pgvector for embeddings, and link LLMs for instant insights. Refine query performance and construct intelligent systems within an immersive hands-on live-lab environment.

This 21-hour instructor-led training in the UAE assists data engineers and DBAs in integrating AI models into PostgreSQL. Participants will learn to deploy optimized architectures, implement vector search, and enforce rigorous governance, ensuring secure and high-performance enterprise-grade AI solutions.

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence into database environments. Key topics include semantic and similarity search using embedding vectors, Text-to-SQL query generation, and Retrieval-Augmented Generation (RAG). Participants will master the installation of PgVector and PgAI, learn to generate and load vector embeddings, build vector indexes, and implement semantic search and RAG solutions. Additionally, the curriculum covers developing Text-to-SQL applications using LangChain with Python or JavaScript. Through demonstrations and practical exercises, learners reinforce essential concepts and gain hands-on proficiency.

This immersive, hands-on programme is designed to master the practical nuances of PostgreSQL performance optimisation. Learners will develop the skills to dissect query execution, refine indexing strategies, fine-tune memory and system configurations, and implement robust workload monitoring. Through real-world case studies and live practical exercises, you will learn to pinpoint and eliminate performance bottlenecks at both the database and infrastructure levels.

This course equips learners with the foundational skills necessary to install, set up, and oversee PostgreSQL databases with confidence. You will explore strategies for securing user access, executing comprehensive backups and restorations, overseeing log management, and optimizing core settings. By engaging in hands-on activities, students will apply real-world administrative procedures while building the groundwork for more advanced concepts like performance tuning and replication.

In this instructor-led, live training in the UAE (onsite or remote), participants will learn the general and advanced aspects of PostgreSQL, including administration, performance tuning, advanced development, and replication as they step through a series of hands-on, live-lab exercises involving 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 the UAE equips advanced DevOps professionals and database engineers to implement PostgresAI at enterprise scale. Participants will gain mastery in database cloning, AI-driven query optimization, and monitoring through hands-on exercises in a live-lab environment.

This course delivers a thorough examination of replication, high availability, and cluster management in PostgreSQL. It enables participants to construct and manage multi-node environments, set up automated failover systems, and investigate load balancing and connection pooling solutions. The program includes practical labs for live replication and recovery simulation exercises.

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

By the conclusion 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.