PostgreSQL AI: Introduction to semantic search Training Course

Gain mastery of AI integration in Postgres through this instructor-led live training in Germany. Discover how to configure extensions, implement pgvector embeddings, and connect LLMs for instant insights. Optimize your queries and build intelligent systems through practical exercises in a live lab setting.

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

This course explores the essential PostgreSQL server extensions and libraries that enable the integration of AI capabilities directly into database environments. Key areas include embedding-based similarity and semantic search, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Participants will master the installation of PgVector and PgAI, the generation and loading of vector embeddings, and the creation of efficient vector indexes. The curriculum also covers the implementation of semantic search and RAG, as well as the development of Text-to-SQL applications using LangChain with Python or JavaScript. Through practical demonstrations and hands-on exercises, learners will solidify their understanding of these core concepts and acquire valuable practical skills.

This practical course is dedicated to the real-world application of performance optimization in PostgreSQL. Learners will acquire the skills to dissect query execution, refine indexing strategies, calibrate memory and system settings, and oversee workloads with precision. Through realistic case studies and live practical tasks, you will discover how to pinpoint and eliminate performance bottlenecks across both the database engine and the underlying system infrastructure.

This module delivers the foundational expertise required to effectively install, configure, and administer PostgreSQL databases. Key topics include securing user access, managing backup and recovery operations, handling logs, and adjusting basic parameters. Through applied practice, participants will execute realistic administrative tasks, preparing them for more complex areas such as performance optimisation and replication.

In this instructor-led live training conducted in Germany (either onsite or remotely), participants will delve into both general and advanced aspects of PostgreSQL. The course covers administration, performance tuning, advanced development, and replication, supported by hands-on live-lab exercises that involve setup, configuration, testing, deployment, and troubleshooting.

By the end of this training, participants will be able to:

• Utilize advanced administration techniques to configure and manage PostgreSQL servers.
• Optimize databases and queries for maximum performance.
• Replicate and scale PostgreSQL servers.

This live, instructor-led training in Germany prepares advanced DevOps specialists and database engineers to implement PostgresAI at enterprise scale. Through hands-on exercises in a live-lab setting, participants will gain mastery over database cloning, AI-driven query optimization, and comprehensive monitoring.

Delivering an in-depth examination of PostgreSQL replication, high availability, and cluster management, this course enables participants to build and maintain multi-node setups, automate failover procedures, and utilize load balancing and connection pooling. It features live replication labs and simulated recovery scenarios to reinforce learning.

This live, instructor-led session in Germany (online or onsite) targets intermediate-level developers and administrators eager to capitalize on the newest features and improvements in PostgreSQL 16.

By the conclusion of this training, participants will be able to:

• Comprehend the architecture and constituent components of PostgreSQL 16.
• Employ advanced SQL functionalities and PostgreSQL extensions.
• Execute security best practices and access control strategies.
• Carry out database administration duties, including backup, recovery, and monitoring.
• Improve database performance via tuning and indexing techniques.
• Deploy PostgreSQL's inherent tools for high availability and replication.
• Merge PostgreSQL with contemporary application development frameworks.