Implementing High Availability in PostgreSQL Training Course

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.

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.

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

Upon completion of this training, participants will be capable of:

• Evaluating Azure SQL against PostgreSQL to select the database solution that best aligns with business goals and requirements.
• Preparing databases to transfer definitions, data, and procedures from Oracle to an AzureSQL or PostgreSQL environment.
• Executing post-migration activities to test, optimize, update, and sustain the new database.

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to integrate artificial intelligence capabilities into database environments. Key topics include semantic and similarity search using embedding vectors, Text-to-SQL query generation, and Retrieval-Augmented Generation (RAG). Participants will acquire the skills to install PgVector and PgAI, generate and load vector embeddings, construct vector indexes, and implement semantic search and RAG solutions. Additionally, the curriculum covers developing Text-to-SQL applications leveraging LangChain with Python or JavaScript. Practical demonstrations and hands-on exercises are used to solidify these core concepts and technical competencies.

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

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.

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.

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.

In this instructor-led, live training in Greece (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.

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.

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 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 instructor-led live training in Greece (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.