PostgreSQL Essentials Training Course

Postgres is a sophisticated open-source relational database that serves as a robust foundation for AI-driven systems and data intelligence applications.

This instructor-led live training (available online or onsite) is designed for intermediate-level database professionals and developers who aim to integrate, manage, and optimize AI capabilities directly within Postgres.

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

• Set up and configure Postgres extensions tailored for AI workloads.
• Implement embeddings and perform similarity searches using pgvector.
• Integrate both open-source and proprietary LLMs with Postgres to gain real-time insights.
• Optimize Postgres to efficiently handle AI-driven queries and workflows.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

PostgreSQL is a robust, open-source relational database that can be augmented with AI capabilities to support enterprise data intelligence, predictive analytics, and automation.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced data engineers, DBAs, and solution architects looking to design, implement, and govern enterprise-grade AI systems leveraging PostgreSQL.

By completing this program, participants will gain the expertise to:

• Integrate AI models and vector search capabilities directly into PostgreSQL.
• Deploy AI-optimized architectures for high-volume enterprise workloads.
• Implement robust governance, auditing, and compliance for AI data pipelines.
• Securely leverage open source and proprietary AI frameworks within PostgreSQL environments.

Format of the Course

• Interactive lectures and enterprise case discussions.
• Practical exercises and real-world labs.
• Hands-on implementation in a live PostgreSQL environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led live training in Portugal (online or onsite) is designed for database administrators and cloud architects who wish to migrate Oracle databases to Azure SQL or PostgreSQL.

Upon completing this training, participants will be able to:

• Evaluate Azure SQL against PostgreSQL to select the database system that best aligns with business goals and requirements.
• Prepare databases to transfer definitions, data, and procedures from Oracle to either the AzureSQL or PostgreSQL database system.
• Execute post-migration tasks to test, optimize, update, and maintain the migrated database.

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to incorporate AI capabilities into database environments. Key topics include similarity and semantic search leveraging embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Participants will acquire the skills to install PgVector and PgAI, produce and load vector embeddings, establish vector indexes, and execute semantic search and RAG implementations. Additionally, the curriculum covers building Text-to-SQL applications using LangChain with Python or JavaScript. Through practical demonstrations and hands-on exercises, students will solidify their understanding of these core concepts and technical competencies.

This practical course emphasises the hands-on approach to performance tuning within PostgreSQL. Participants will gain the skills to analyse query execution, refine indexing strategies, tweak memory and system settings, and effectively monitor workloads. Through real-world scenarios and live exercises, learners will discover how to pinpoint and resolve bottlenecks at both the database and system levels.

This course focuses on the administration and performance optimization of PostgreSQL databases. Participants will acquire skills in utilizing specialized PostgreSQL (also known as Postgres) modules, including replication, connection pooling, and full-text search capabilities.

This training program is tailored for Database Administrators and Architects seeking to master the tools and techniques required to implement effective backups, high availability, and database security within PostgreSQL.
Participants will also acquire the skills necessary to identify slow queries, monitor database performance, and optimize PostgreSQL settings for enhanced efficiency.

This course is tailored for Database Administrators and Architects seeking to master Streaming Replication within PostgreSQL and learn how pgpool-II can be leveraged to enable automatic failovers, thereby establishing a highly available PostgreSQL database cluster.

Designed for Database Administrators and Architects seeking to optimize PostgreSQL performance, this training demonstrates how to log slow workloads and identify potential query bottlenecks. It also addresses the critical parameters that require tuning to achieve optimal efficiency.

In this instructor-led, live training in Portugal (onsite or remote), participants will explore 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.

PostgresAI is a platform that allows database teams to clone, test, and optimize PostgreSQL environments using AI-driven automation.

This instructor-led, live training (available online or onsite) is designed for advanced-level DevOps professionals and database engineers who wish to implement PostgresAI at enterprise scale for database monitoring, cloning, and AI-driven optimization.

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

• Deploy and configure PostgresAI in enterprise environments.
• Integrate PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Leverage AI-driven insights for query optimization and performance tuning.
• Implement governance, auditing, and data privacy controls for cloned environments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This course focuses on programmatic interaction with PostgreSQL databases. It teaches the techniques, syntax, and structures required to build high-quality applications using a PostgreSQL backend. Additionally, the training covers SQL Tuning, highlighting best practices for writing efficient SQL code.

The target audience includes developers looking to use or extend PostgreSQL, as well as database architects.

This course delivers comprehensive coverage of replication, high availability, and cluster management within PostgreSQL. Participants will learn to construct and administer multi-node environments, set up automated failover mechanisms, and investigate solutions for load balancing and connection pooling. The curriculum features live replication laboratories and recovery simulations.

This instructor-led, live training in Portugal (online or onsite) is aimed at sysadmins and developers who wish to use PostgreSQL 13 to set up, build, and manage databases for high-performance applications.

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

• Install and configure PostgreSQL 13.
• Understand the features, architecture, and fundamentals of operating, managing, and maintaining databases with PostgreSQL 13.
• Learn how to configure Postgres database tables and schemas.
• Learn how to perform data manipulations and queries.
• Explore the different programming interfaces (client and server) to fully utilize and extend functionalities in PostgreSQL 13.