PostgreSQL Training in Patras

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

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

Upon completion of this training, participants will be equipped 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 practical sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

PostgreSQL is a robust, open-source relational database that gains significant value when augmented with Artificial Intelligence capabilities for enterprise data intelligence, predictive analytics, and automation.

This instructor-led live training (available online or on-site) targets intermediate to advanced data engineers, DBAs, and solution architects aiming to design, implement, and govern enterprise-grade AI systems built upon PostgreSQL.

Upon completing this program, participants will acquire the skills to:

• Embed AI models and vector search functionalities directly within PostgreSQL.
• Deploy AI-optimized architectures capable of handling high-volume enterprise workloads.
• Establish robust governance, auditing, and compliance frameworks for AI data pipelines.
• Securely utilize both open-source and proprietary AI frameworks within PostgreSQL environments.

Course Format

• Interactive lectures paired with enterprise case studies.
• Practical exercises and real-world laboratory sessions.
• Hands-on implementation within a live PostgreSQL environment.

Customization Options

• For inquiries regarding customized training for this course, please contact us to make arrangements.

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

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

Upon completing this course, participants will be equipped to:

• Configure Postgres extensions specifically for AI workloads.
• Implement embeddings and similarity search functionalities using pgvector.
• Integrate both open-source and proprietary Large Language Models (LLMs) with Postgres to derive real-time insights.
• Optimize Postgres performance to efficiently handle AI-driven queries and workflows.

Course Format

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

Course Customization Options

• For customized training arrangements, please contact us directly.

This instructor-led live training in Patras (available online or on-site) is designed for beginner-level professionals who want to learn how to use PostgreSQL for creating databases, writing SQL queries, manipulating data, and managing tables using both SQL commands and PGAdmin. The course also provides 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 Patras (online or onsite) is designed for intermediate-level developers and administrators keen on leveraging the latest features and improvements in PostgreSQL 16.

Upon completing this training, participants will be equipped to:

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

Successfully managing and developing PostgreSQL databases demands extensive expertise in performance tuning, database replication, and connection pooling. This course provides comprehensive coverage of server administration, SQL foundations, client-side interfaces, server-side programming, and database internals. Through practical, hands-on training, Database Administrators and developers will acquire the skills needed to optimize query execution, manage backup strategies, configure monitoring tools, and establish robust, production-ready configurations for enterprise-level PostgreSQL environments.

This course delves into the programmatic interaction with PostgreSQL databases. Participants will acquire the necessary techniques, syntax, and structural knowledge to build high-quality applications leveraging a PostgreSQL backend. The curriculum also encompasses SQL Tuning, highlighting best practices for crafting efficient SQL code.

The intended audience comprises developers aiming to utilize or extend PostgreSQL functionalities, as well as database architects.

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

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

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

This course is tailored for Database Administrators and Architects seeking to optimize PostgreSQL databases for peak performance. Participants will learn techniques to capture slow workload logs and identify potential bottlenecks within queries. Additionally, the curriculum addresses the critical configuration parameters that require tuning to ensure optimal operational efficiency.

This course is tailored for Database Administrators and Architects aiming to master the tools and methodologies for implementing backups, high availability, and security within PostgreSQL.
Participants will also gain insights into identifying slow queries, monitoring database performance, and optimizing PostgreSQL for peak efficiency.

Ensuring zero-downtime deployments in PostgreSQL requires advanced proficiency in Streaming Replication and automated failover management. This course delves into synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and the monitoring of streaming configurations. Participants will learn to deploy pgpool-II for connection pooling, establish automated high availability infrastructures, and achieve production-grade database reliability tailored for critical enterprise environments and high-traffic business applications.

This instructor-led, live training in Patras (online or onsite) is tailored for database administrators and system administrators who want to leverage PostgreSQL to manage large-scale data while optimizing database systems for high availability and peak 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 foundational aspects of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence capabilities into database environments. Key topics include similarity and semantic search leveraging embedding vectors, Text-to-SQL query processing, and Retrieval-Augmented Generation (RAG). Participants will gain hands-on expertise in installing PgVector and PgAI, generating and loading vector embeddings, constructing vector indexes, implementing semantic search and RAG workflows, and building Text-to-SQL applications via LangChain using Python or JavaScript. Practical demonstrations and exercises are integrated throughout to solidify core concepts and technical skills.

This practical course concentrates on the real-world aspects of tuning PostgreSQL performance. Attendees will gain skills in analysing query execution, optimizing indexing strategies, fine-tuning memory and system settings, and effectively monitoring workloads. Through real-world examples and live exercises, participants will learn to detect and eliminate bottlenecks at both the database and system levels.

This programme delivers comprehensive insights into replication, high availability, and cluster management within PostgreSQL. Participants will learn to construct and oversee multi-node environments, set up automated failover processes, and investigate load balancing and connection pooling strategies. The training incorporates hands-on replication exercises and recovery scenario simulations.

This intensive, one-day practical course concentrates on the design and implementation of distributed databases using the Citus extension for PostgreSQL.
Participants will acquire the skills to shard extensive datasets, handle distributed queries, and construct scalable, fault-tolerant PostgreSQL clusters.
Through real-world examples and hands-on labs, learners will explore performance tuning, replication integration, and the management of distributed workloads.