PostgresAI at Enterprise Scale: Monitoring, Cloning & AI-Driven Operations Training Course

Gain mastery over AI integration in Postgres through this live, instructor-led training in Sweden. Learn to configure necessary extensions, implement pgvector embeddings, and connect LLMs for immediate insights. Enhance query performance and build intelligent systems within a hands-on live-lab environment.

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

This course explores the essentials of PostgreSQL server extensions and libraries designed to incorporate AI capabilities 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 workflows, and develop Text-to-SQL applications with LangChain using Python or JavaScript. Through demonstrations and hands-on practice, learners reinforce core concepts and acquire practical skills.

This module explores the essential PostgreSQL server extensions that enable the integration of AI capabilities into database systems. It places particular emphasis on similarity and semantic search using embedding vectors. Learners will master the process of installing PgVector, generating and loading vector embeddings, building vector indexes, and implementing semantic search functionalities. Practical insights are reinforced through interactive demonstrations and hands-on lab work.

This practical course is designed to equip participants with the skills needed for effective performance tuning in PostgreSQL. Learners will explore query execution analysis, index optimization, memory and system parameter adjustments, and efficient workload monitoring. Through real-world case studies and live exercises, the course illustrates how to pinpoint and address performance bottlenecks at both the database and system layers.

This course equips you with the core skills needed to successfully install, configure, and oversee PostgreSQL databases. You will gain proficiency in managing user security, executing backups and restorations, handling logs, and optimizing fundamental parameters. By engaging in hands-on exercises, you will apply real-world administrative techniques and build a strong foundation for advanced concepts such as performance tuning and replication.

Through this instructor-led live training in Sweden (onsite or remotely), participants will gain insights into both fundamental and advanced PostgreSQL concepts. This includes administration, performance tuning, advanced development techniques, and replication. The curriculum involves a series of practical, live laboratory exercises covering setup, configuration, testing, deployment, and troubleshooting.

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

• Apply advanced administration techniques to configure and manage a PostgreSQL server.
• Optimize the database and its queries to achieve maximum performance.
• Implement replication and scaling strategies for a PostgreSQL server.

This course delivers an in-depth examination of replication, high availability, and cluster management in PostgreSQL. It guides participants in building and managing multi-node setups, configuring automated failover, and exploring solutions for load balancing and connection pooling. The program includes hands-on replication exercises and recovery simulations.

This instructor-led live training in Sweden (online or onsite) is designed for intermediate developers and administrators who want to capitalize on the newest features and improvements in PostgreSQL 16.

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

• Grasp the architecture and core components of PostgreSQL 16.
• Leverage advanced SQL capabilities and PostgreSQL extensions.
• Apply security best practices and configure access controls.
• Execute essential database administration tasks, including backup, recovery, and monitoring.
• Enhance database performance through effective tuning and indexing strategies.
• Utilize PostgreSQL’s native tools to ensure high availability and replication.
• Seamlessly integrate PostgreSQL with contemporary application development frameworks.