Implementing High Availability in PostgreSQL Training Course

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

This instructor-led live training (available online or on-site) targets 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:

• Set up and configure Postgres extensions for AI workloads.
• Implement embeddings and similarity search using pgvector.
• Integrate open source and proprietary LLMs with Postgres for real-time insights.
• Optimize Postgres for handling AI-driven queries and workflows.

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.

PostgreSQL is a robust, open-source relational database that can be significantly enhanced with AI capabilities to drive 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 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 Argentina (online or onsite) is designed for database administrators and cloud architects who aim to migrate Oracle databases to Azure SQL or PostgreSQL.

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

• Compare Azure SQL with PostgreSQL to determine the database that best supports business objectives and needs.
• Prepare databases to transfer definitions, data, and procedures from Oracle to Azure SQL or PostgreSQL database systems.
• Conduct post-migration steps to test, optimize, update, and maintain the migrated database.

This course explores the foundational aspects of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence techniques into database environments. Key topics include similarity and semantic search utilizing embedding vectors, Text-to-SQL query processing, and Retrieval-Augmented Generation (RAG). Participants will acquire the skills to install PgVector and PgAI, generate and load vector embeddings, construct vector indexes, implement semantic search and RAG mechanisms, and build Text-to-SQL applications using LangChain with Python or JavaScript. Through demonstrations and practical exercises, the core concepts and hands-on competencies are reinforced.

This practical course concentrates on the hands-on elements of performance tuning within PostgreSQL. Participants will acquire the skills to analyse query execution, refine indexing strategies, tweak memory and system parameters, and effectively monitor workloads. Through real-world scenarios and live exercises, attendees will discover how to detect and resolve bottlenecks at both the database and system levels.

This course covers the administration and performance optimization 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 training program is tailored for Database Administrators and Architects seeking to master PostgreSQL from the ground up.

Participants will gain comprehensive knowledge of PostgreSQL architecture, installation procedures, design principles, and strategies for executing database backups and recovery.

This course is tailored for Database Administrators and Architects seeking to master the tools and methodologies for executing backups, ensuring high availability, and securing databases within PostgreSQL.
Participants will also gain the skills to identify slow queries, oversee database performance, and optimize PostgreSQL settings for maximum efficiency.

This program is tailored for Database Administrators and Architects seeking to enhance the performance of PostgreSQL databases. Participants will learn how to capture slow-running queries and identify potential bottlenecks. The course also addresses critical configuration parameters essential for achieving optimal performance.

In this instructor-led, live training in Argentina (onsite or remote), participants will explore both fundamental and advanced aspects of PostgreSQL. The curriculum covers administration, performance tuning, sophisticated development practices, and replication. Learners will engage in a series of hands-on, live-lab exercises that guide them through setup, configuration, testing, deployment, and troubleshooting.

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

• Employ advanced administration techniques to configure and manage a PostgreSQL server.
• Optimize the database and its queries to achieve peak performance.
• Replicate and scale a PostgreSQL server effectively.

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.

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

• Deploy and configure PostgresAI within enterprise environments.
• Integrate PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Leverage AI-driven insights to optimize queries and tune performance.
• Implement governance, auditing, and data privacy controls for cloned environments.

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practice sessions.
• 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 delves into the programmatic interaction with PostgreSQL databases, equipping participants with the essential techniques, syntax, and structural knowledge required to build high-quality applications leveraging a PostgreSQL backend. The training also addresses SQL Tuning, focusing on best practices for crafting efficient SQL queries.

The target audience comprises developers interested in utilizing or extending PostgreSQL capabilities, as well as database architects.

This course offers 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 mechanisms, and investigate load balancing and connection pooling options. The program features hands-on replication labs and recovery simulations.

This instructor-led, live training in Argentina (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.