Implementing High Availability in PostgreSQL Training Course

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

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

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

• Set up and configure Postgres extensions tailored for AI workloads.
• Implement embeddings and similarity search using pgvector.
• Integrate open-source and proprietary Large Language Models (LLMs) with Postgres to gain real-time insights.
• Optimize Postgres performance for AI-driven queries and workflows.

Format of the Course

• 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 stands out as a robust, open-source relational database, and it can be further empowered with artificial intelligence capabilities to drive enterprise data intelligence, predictive analytics, and automation.

This instructor-led training session, available online or onsite, targets intermediate to advanced data engineers, database administrators (DBAs), and solution architects who aim to design, implement, and manage enterprise-grade AI systems utilizing PostgreSQL.

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

• Seamlessly integrate AI models and vector search functionalities directly within PostgreSQL.
• Deploy architecture optimized for AI to handle high-volume enterprise workloads.
• Establish strong governance, auditing, and compliance protocols for AI data pipelines.
• Securely utilize both open-source and proprietary AI frameworks within PostgreSQL environments.

Course Format

• Interactive lectures paired with discussions on enterprise case studies.
• Practical exercises and real-world laboratory sessions.
• Hands-on implementation within 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 Mexico (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 foundational aspects of PostgreSQL server extensions and libraries designed to integrate AI capabilities into database systems. 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 load vector embeddings, construct vector indexes, and implement semantic search and RAG functionalities. Additionally, the course covers the development of Text-to-SQL applications with LangChain in Python and JavaScript. Through demonstrations and hands-on exercises, students will reinforce core concepts and acquire practical skills.

This practical course centers on the hands-on aspects of performance tuning within PostgreSQL. Participants will acquire the skills to analyze query execution, refine indexing strategies, configure memory and system settings, and effectively monitor workloads. Through real-world scenarios and live exercises, attendees will learn to identify and address bottlenecks at both the database and system levels.

Effectively managing and developing PostgreSQL databases demands a profound understanding of performance optimization, database replication, and connection pooling. This course delves into server administration, SQL fundamentals, client interfaces, server-side programming, and the inner workings of the database. Through practical, hands-on training, DBAs and developers will learn to optimize query execution, manage backups, configure monitoring systems, and establish robust, production-ready configurations for enterprise-level PostgreSQL environments.

This training is tailored for Database Administrators and Architects seeking to master PostgreSQL from the ground up. <\/p>

Participants will gain hands-on knowledge of PostgreSQL's architecture, installation procedures, design principles, and techniques for performing database backups and recovery. <\/p>

This program is tailored for Database Administrators and Architects seeking to master the tools and methods necessary for implementing Backups, High Availability, and Database Security in PostgreSQL.
Participants will also acquire skills in identifying slow queries, monitoring database performance, and optimizing PostgreSQL for enhanced performance.

This course is tailored for Database Administrators and Architects aiming to enhance the performance of their PostgreSQL databases. Participants will learn how to track slow-running queries and identify potential bottlenecks. The curriculum also addresses the critical configuration parameters that require tuning to achieve optimal system performance.

This instructor-led, live training in Mexico (onsite or remote) covers both general and advanced aspects of PostgreSQL. Participants will explore administration, performance tuning, advanced development, and replication through a series of hands-on, live-lab exercises that involve 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 using AI-driven automation.

This instructor-led, live training (available online or onsite) targets advanced-level DevOps professionals and database engineers who want 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.
• Utilize AI-driven insights for query optimization and performance tuning.
• Implement governance, auditing, and data privacy controls for cloned environments.

Format of the Course

• Interactive lecture and discussion.
• Extensive 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.

This course focuses on programmatically interacting with PostgreSQL databases. You will learn the essential techniques, syntax, and structures required to build high-quality applications backed by PostgreSQL. Additionally, the training includes SQL Tuning, highlighting best practices for writing efficient SQL code.

The target audience consists of developers who wish to utilize or extend PostgreSQL, as well as database architects.

This course offers a comprehensive 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 Mexico (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.