PostgreSQL Advanced - Performance Management Training Course

Harness the power of AI within Postgres through this live, instructor-led training held in Slovakia. Acquire the skills to configure essential extensions, deploy pgvector for embeddings, and link LLMs to deliver instantaneous insights. Refine your query performance and construct intelligent systems within a practical, live-lab setting.

This 21-hour live training program in Slovakia empowers data engineers and DBAs to seamlessly integrate AI models into PostgreSQL. Learners will master the deployment of optimized architectures, the implementation of vector search, and the enforcement of strict governance protocols, resulting in secure, high-performance enterprise-grade AI solutions.

This course explores the core concepts of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence into database systems. Key topics include similarity and semantic search using embedding vectors, Text-to-SQL query generation, and Retrieval-Augmented Generation (RAG). Participants will learn how to install PgVector and PgAI, generate and load vector embeddings, build vector indexes, implement semantic search and RAG workflows, and develop Text-to-SQL applications using LangChain with Python or JavaScript. Practical demonstrations and hands-on exercises reinforce these fundamental concepts and technical skills.

This course explores the essential PostgreSQL server extensions required to embed AI capabilities within database systems, with a specific focus on similarity and semantic search driven by embedding vectors. Participants will master the process of installing PgVector, generating and loading vector embeddings, constructing vector indexes, and executing semantic search queries. Through a blend of live demonstrations and practical exercises, learners will consolidate their theoretical understanding and develop tangible professional skills.

This course provides the core skills necessary to successfully install, configure, and administer PostgreSQL databases. Learners will gain expertise in managing user security, executing backups and restores, overseeing logs, and adjusting key parameters. Through practical application, participants will handle real-world administrative duties and establish a base for advanced subjects such as performance tuning and replication.

In this instructor-led live training held in Slovakia (onsite or remote), participants will explore the general and advanced aspects of PostgreSQL. The curriculum covers administration, performance tuning, advanced development, and replication, guided 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 a PostgreSQL server.
• Optimize the database and queries for peak performance.
• Replicate and scale a PostgreSQL server.

This live, instructor-led training in Slovakia 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 master database cloning, AI-driven query optimization, and monitoring.

This course delivers detailed instruction on replication, high availability, and cluster management in PostgreSQL. It enables participants to develop and control multi-node setups, implement automated failover strategies, and delve into load balancing and connection pooling techniques. The program includes live replication labs and recovery drills.

This instructor-led, live training in Slovakia (online or onsite) is designed for intermediate-level developers and administrators seeking to harness the latest features and enhancements in PostgreSQL 16.

Upon completion of this training, participants will be able to:

• Comprehend the architecture and core components of PostgreSQL 16.
• Leverage advanced SQL capabilities and PostgreSQL extensions.
• Apply security best practices and manage access controls.
• Execute database administration tasks, including backup, recovery, and monitoring.
• Enhance database performance through tuning and indexing strategies.
• Utilize PostgreSQL's native tools for high availability and replication.
• Integrate PostgreSQL with contemporary application development frameworks.