PostgreSQL Advanced: Scalability and Sharding (Citus) Training Course

Gain mastery over AI integration in PostgreSQL through this live, instructor-led training in Greece. You will learn to configure extensions, implement pgvector embeddings, and connect LLMs for immediate insights. Optimize your queries and build intelligent systems within a practical, hands-on live-lab setting.

This 21-hour instructor-led training in Greece empowers data engineers and DBAs to effectively integrate AI models into PostgreSQL. Learners will master deploying optimized architectures, implementing vector search, and enforcing strict governance standards, ultimately ensuring secure, high-performance enterprise-grade AI solutions.

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence capabilities into database environments. Key topics include similarity and semantic search leveraging embedding vectors, Text-to-SQL query processing, and Retrieval-Augmented Generation (RAG). Participants will gain hands-on expertise in installing PgVector and PgAI, generating and loading vector embeddings, constructing vector indexes, implementing semantic search and RAG workflows, and building Text-to-SQL applications via LangChain using Python or JavaScript. Practical demonstrations and exercises are integrated throughout to solidify core concepts and technical skills.

This course delves into the core features of PostgreSQL server extensions designed to weave AI capabilities into database architectures, with a specific focus on similarity and semantic search powered by embedding vectors. Participants will master the installation of PgVector, along with techniques for generating and ingesting vector embeddings, building efficient vector indexes, and deploying semantic search functionalities. Through a blend of live demonstrations and hands-on exercises, learners will solidify both their theoretical understanding and practical proficiency in these areas.

This practice-oriented course emphasizes the application of performance tuning techniques in PostgreSQL. Participants will master the analysis of query execution, the optimization of indexes, the adjustment of memory and system parameters, and effective workload monitoring. By engaging with real-world scenarios and live exercises, learners will develop the ability to detect and resolve performance constraints at both the database and system levels.

This training equips you with the fundamental skills needed to deploy, set up, and oversee PostgreSQL database systems with confidence. You will gain proficiency in securing user access, executing comprehensive backup and restoration protocols, overseeing logging activities, and optimizing essential configuration settings. By engaging in hands-on scenarios, you will execute realistic administrative duties and build a solid foundation for more advanced concepts, such as performance optimization and data replication.

In this instructor-led, live training in Greece (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 Greece is designed to equip advanced DevOps professionals and database engineers with the skills to implement PostgresAI at an enterprise scale. Participants will gain proficiency in database cloning, AI-driven query optimization, and monitoring through hands-on exercises within a live-lab environment.

Explore the intricacies of replication, high availability, and cluster management in PostgreSQL. Participants will learn to build and manage multi-node setups, automate failover procedures, and utilize load balancing and connection pooling. The course features hands-on replication labs and recovery simulations.