Implementing High Availability in PostgreSQL Training Course

PostgreSQL is a sophisticated open-source relational database that can serve as the backbone for AI-powered systems and data intelligence applications.

This instructor-led, live training (available online or onsite) is designed for intermediate-level database professionals and developers who wish to integrate, manage, and optimize AI capabilities directly within PostgreSQL.

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

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

Format of the Course also allows for the evaluation of participants.

• 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 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 also allows for the evaluation of participants.

• 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 France (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 essential PostgreSQL server extensions and libraries designed to integrate artificial intelligence capabilities into database environments. Key topics include similarity and semantic search utilizing embedding vectors, Text-to-SQL query generation, and Retrieval-Augmented Generation (RAG). Participants will acquire the skills to install PgVector and PgAI, create and load vector embeddings, build vector indexes, and implement semantic search and RAG solutions. Additionally, the course covers developing Text-to-SQL applications using LangChain with Python or JavaScript. The curriculum combines demonstrations with hands-on exercises to solidify core concepts and practical competencies.

This practical course delves into the essential techniques for tuning PostgreSQL performance. Attendees will gain expertise in analyzing query execution, optimizing indexing strategies, configuring memory and system settings, and efficiently monitoring workloads. Through real-world case studies and interactive exercises, participants will learn to pinpoint and resolve performance bottlenecks at both the database and infrastructure levels.

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

Participants will gain insights into PostgreSQL architecture, installation procedures, design principles, and database backup and recovery techniques.

This training is tailored for Database Administrators and Architects seeking to master the tools and techniques necessary for implementing Backups, High Availability, and Database Security in 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 aiming to optimize PostgreSQL databases for peak performance. Participants will learn how to log slow queries, identify potential bottlenecks, and explore the critical parameters essential for achieving optimal efficiency.

In this instructor-led live training delivered in France (onsite or remote), participants will gain insights into the general and advanced aspects of PostgreSQL. Key topics include administration, performance tuning, advanced development, and replication, all reinforced through hands-on, live-lab exercises covering 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 enables database teams to clone, test, and optimize PostgreSQL environments using AI-driven automation.

This instructor-led, live training (online or onsite) is aimed at advanced-level DevOps professionals and database engineers who wish to implement PostgresAI at 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 in enterprise environments.
• Integrate PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Leverage AI-driven insights for query optimization and performance tuning.
• Implement governance, auditing, and data privacy controls for cloned environments.

Format of the Course also allows for the evaluation of participants.

• 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.

This course explores programmatic interactions with PostgreSQL databases. It teaches the techniques, syntaxes, and structures required to build robust applications using a PostgreSQL backend. The training also addresses SQL Tuning, highlighting best practices for writing efficient SQL code.

The target audience includes developers seeking to utilize or extend PostgreSQL, as well as database architects.

This course offers comprehensive coverage of replication, high availability, and cluster management within PostgreSQL. Participants will learn to build and oversee multi-node environments, set up automated failover, and investigate load balancing and connection pooling solutions. The curriculum features hands-on replication labs and recovery simulations.

This instructor-led, live training in France (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.