Implementing High Availability in PostgreSQL Training Course

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.

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.

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

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

• Compare Azure SQL with PostgreSQL to choose the database that best meets business objectives and needs.
• Prepare databases to move definitions, data, and procedures from Oracle to AzureSQL or PostgreSQL database system.
• Perform post-migration steps to test, optimize, update, and maintain a migrated database.

This course explores the core aspects of PostgreSQL server extensions and libraries designed to incorporate AI capabilities into database environments. Topics include semantic and similarity searches using embedding vectors, Text-to-SQL query generation, and Retrieval-Augmented Generation (RAG). Participants will acquire practical skills in installing PgVector and PgAI, generating and ingesting vector embeddings, building vector indexes, and implementing both semantic search and RAG workflows. Additionally, the curriculum covers developing Text-to-SQL applications via LangChain using Python or JavaScript. Through demonstrations and hands-on exercises, learners will solidify their understanding of these essential concepts and technical competencies.

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 focuses on the administration and performance tuning of PostgreSQL databases. Participants will gain expertise 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 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.

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.

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.

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

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.

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 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 instructor-led, live training in Italy (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.