PostgreSQL AI for Developers Training Course

Gain proficiency in AI integration with Postgres through this instructor-led live training in Denmark. Configure extensions, deploy pgvector embeddings, and connect LLMs for instant insights. Optimize query performance and develop intelligent systems within a hands-on live-lab setting.

This 21-hour instructor-led training in Denmark empowers data engineers and DBAs to seamlessly integrate AI models into PostgreSQL. Participants will learn to deploy optimized architectures, implement vector search, and enforce strict governance, ensuring the delivery of secure and high-performance enterprise-grade AI solutions.

This course explores the core capabilities of PostgreSQL server extensions designed to embed AI methodologies within database architectures. A primary focus is placed on implementing similarity and semantic search using embedding vectors. Participants will acquire the skills necessary to install PgVector, process and ingest vector embeddings, establish vector indexes, and execute semantic search queries. Through a blend of live demonstrations and practical exercises, learners will solidify their grasp of both theoretical principles and hands-on technical skills.

Designed as a practical, hands-on experience, this module dives deep into the art of performance optimization for PostgreSQL. Learners will develop the skills to scrutinize query execution, refine indexing strategies, fine-tune memory and system settings, and effectively oversee workload health. By engaging with real-world case studies and live exercises, you will master the techniques needed to pinpoint and eliminate performance bottlenecks across both the database and system layers.

This course equips you with the core skills necessary to deploy, configure, and maintain PostgreSQL databases with confidence. You will master essential tasks such as securing user access, executing robust backup and restore strategies, overseeing log management, and optimizing foundational parameters. By engaging in hands-on exercises, you will apply these administrative skills to real-world scenarios while building a solid foundation for advanced concepts like performance tuning and replication.

In this instructor-led, live training in Denmark (onsite or remote), participants will discover general and advanced aspects of PostgreSQL, covering administration, performance tuning, advanced development, and replication. Learners will progress through a series of hands-on, live-lab exercises focused on setup, configuration, testing, deployment, and troubleshooting.

By the end of this training, participants will be capable of:

• Utilising advanced administration techniques to configure and manage a PostgreSQL server.
• Optimising the database and queries for optimal performance.
• Replicating and scaling a PostgreSQL server.

This live, instructor-led training held in Denmark provides advanced DevOps professionals and database engineers with the skills to implement PostgresAI at scale. Through hands-on exercises in a live-lab environment, participants will gain mastery in database cloning, AI-driven query optimization, and comprehensive monitoring.

This course delves into the intricacies of replication, high availability, and cluster management in PostgreSQL. It enables participants to build and manage multi-node environments, configure automated failover, and explore solutions for load balancing and connection pooling. The curriculum features live replication labs and recovery simulations.

This live, instructor-led training conducted in Denmark (either online or onsite) is tailored for intermediate-level developers and administrators looking to exploit the latest capabilities and improvements found in PostgreSQL 16.

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

• Comprehend the architecture and components of PostgreSQL 16.
• Employ advanced SQL features and PostgreSQL extensions.
• Enforce security best practices and manage access controls.
• Carry out database administration tasks, encompassing backup, recovery, and monitoring.
• Optimize database performance using tuning and indexing methods.
• Leverage PostgreSQL's internal tools for high availability and replication.
• Integrate PostgreSQL with modern application development frameworks.