PostgreSQL Training in Turin

PostgresAI is a platform designed to help database teams clone, test, and optimize PostgreSQL environments through AI-driven automation.

This instructor-led live training (available online or onsite) targets advanced DevOps professionals and database engineers who want to deploy PostgresAI at an enterprise level for database monitoring, cloning, and AI-powered optimization.

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

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

Course Format

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

Course Customization Options

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

PostgreSQL is a powerful, open-source relational database that can be enhanced with AI capabilities for enterprise data intelligence, predictive analytics, and automation.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level data engineers, DBAs, and solution architects who wish to design, implement, and govern enterprise-grade AI systems that leverage 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.
• Leverage open source and proprietary AI frameworks securely 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.

Postgres serves as a robust, open-source relational database, providing a solid foundation for building AI-powered systems and data intelligence applications.

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

Upon completing this training, participants will be able to:

• Configure and set up Postgres extensions tailored for AI workloads.
• Implement embeddings and perform similarity searches using pgvector.
• Connect both open-source and proprietary LLMs to Postgres to derive real-time insights.
• Optimize Postgres performance for AI-driven queries and workflows.

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• For personalized training arrangements, please contact us to discuss your needs.

This instructor-led live training in Turin (online or onsite) targets beginner-level professionals wishing to learn PostgreSQL for creating databases, writing SQL queries, manipulating data, and managing tables via SQL commands and PGAdmin. The course includes a basic introduction to the Timescale extension for time-series data.

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

• Understand relational database principles and PostgreSQL architecture.
• Install, configure, and navigate PostgreSQL and PGAdmin.
• Write and run SQL queries for data selection, filtering, grouping, and joining.
• Manipulate data with SQL statements and manage database objects.
• Create and manage views and explore PostgreSQL extensions like Timescale.

This instructor-led, live training in Turin (online or onsite) is aimed at intermediate-level developers and administrators who wish to leverage the latest features and improvements in PostgreSQL 16.

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

• Grasp the architecture and components of PostgreSQL 16.
• Harness advanced SQL features and PostgreSQL extensions.
• Implement security best practices and access controls.
• Carry out database administration tasks, including backup, recovery, and monitoring.
• Enhance database performance through tuning and indexing strategies.
• Utilize PostgreSQL's built-in tools for high availability and replication.
• Integrate PostgreSQL with modern application development frameworks.

Successfully managing and developing PostgreSQL databases demands extensive expertise in performance optimization, database replication, and connection pooling. This course provides comprehensive coverage of server administration, SQL fundamentals, client interfaces, server-side programming, and database internals. Through practical, hands-on training, DBAs and developers will gain the skills necessary to optimize query execution, manage backups, configure monitoring systems, and construct robust, production-ready configurations for enterprise-level PostgreSQL environments.

This course explores programmatic interaction with PostgreSQL databases. It teaches the techniques, syntaxes, and structures essential for building high-quality applications backed by PostgreSQL. The training also addresses SQL Tuning, outlining best practices for writing efficient SQL code.

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

This course is tailored for Database Administrators and Architects eager to master PostgreSQL from the ground up.

Participants will gain insights into PostgreSQL's architecture, learn how to install it, design databases, and execute backup and recovery procedures effectively.

In this instructor-led, live training in Turin (onsite or remote), participants will explore the general and advanced aspects of PostgreSQL, including administration, performance tuning, advanced development, and replication. The learning process involves navigating a series of hands-on, live-lab exercises that cover 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.

Designed for Database Administrators and Architects seeking to optimize PostgreSQL database performance, this course teaches you how to log slow workloads, identify potential query bottlenecks, and configure critical parameters for peak performance.

This training course is tailored for Database Administrators and Architects seeking to master the tools and methodologies required to implement robust backups, high availability, and database security within PostgreSQL.
Participants will also gain insights into identifying slow queries, monitoring database performance, and fine-tuning PostgreSQL for optimal speed and efficiency.

Achieving zero-downtime PostgreSQL deployments requires expert command of Streaming Replication and automated failover management. This course covers synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and monitoring streaming configurations. Learn to deploy pgpool-II for connection pooling, automated high availability setup, and production-grade database reliability for critical enterprise environments serving high-traffic business applications.

This instructor-led live training in Turin (online or onsite) is designed for database administrators and system administrators who wish to utilize PostgreSQL to manage large-scale data while optimizing database systems for high availability and performance.

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

• Install and configure PostgreSQL.
• Understand the features and architecture of PostgreSQL.
• Learn how to perform database operations with SQL.
• Perform database backup and recovery to prevent data loss.
• Configure the server for high availability.
• Learn the tools and techniques for high performance tuning.
• Explore the external tools for monitoring and observability.

This course explores the core concepts of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence capabilities into database environments. Key topics include similarity and semantic search using embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Participants will learn to install PgVector and PgAI, generate and import vector embeddings, construct vector indexes, implement semantic search and RAG workflows, and build Text-to-SQL applications leveraging LangChain with Python or JavaScript. The curriculum combines demonstrations with practical exercises to solidify both theoretical understanding and technical proficiency.

This practical course emphasizes the hands-on aspects of tuning PostgreSQL performance. Attendees will acquire skills in analyzing query execution, optimizing indexing strategies, configuring memory and system settings, and effectively monitoring workload demands. Through real-life case studies and interactive labs, participants will learn to pinpoint and address performance bottlenecks at both the database and infrastructure levels.

This course offers an extensive exploration of replication, high availability, and cluster management within PostgreSQL. Participants will learn to construct and oversee multi-node environments, set up automated failover mechanisms, and investigate load balancing and connection pooling strategies. The curriculum features hands-on replication labs and recovery simulations.

This immersive 1-day practical course concentrates on the design and implementation of distributed databases utilizing the Citus extension for PostgreSQL.
Attendees will acquire the skills to shard extensive datasets, handle distributed queries, and construct scalable, fault-tolerant PostgreSQL clusters.
Through real-world scenarios and hands-on exercises, participants will explore performance tuning, replication integration, and distributed workload management.