PostgreSQL Advanced: Scalability and Sharding (Citus) Training Course

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

This instructor-led training, available 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 course, participants will be equipped to:

• Set up and configure Postgres extensions tailored for AI workloads.
• Implement embeddings and perform similarity searches using pgvector.
• Integrate both open-source and proprietary LLMs with Postgres to derive real-time insights.
• Optimize Postgres performance for AI-driven queries and workflows.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical practice sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For customized training arrangements, please reach out to us.

PostgreSQL is a robust, open-source relational database that can be significantly enhanced with AI capabilities to support enterprise data intelligence, predictive analytics, and automation.

This instructor-led live training, available both online and onsite, targets intermediate to advanced data engineers, Database Administrators (DBAs), and solution architects who aim to design, implement, and govern enterprise-grade AI systems leveraging PostgreSQL.

Upon completing this programme, participants will acquire the expertise to:

• Seamlessly integrate AI models and vector search functionalities directly into PostgreSQL.
• Deploy AI-optimized architectures designed for high-volume enterprise workloads.
• Establish robust governance, auditing, and compliance protocols for AI data pipelines.
• Safely utilise both open-source and proprietary AI frameworks within PostgreSQL environments.

Course Format

• Interactive lectures complemented by enterprise case study discussions.
• Practical exercises and real-world laboratory sessions.
• Hands-on implementation within a live PostgreSQL environment.

Course Customization Options

• To arrange customized training for this course, please get in touch with us.

This course delves into the foundational aspects of PostgreSQL server extensions and libraries designed to incorporate AI methodologies into database architectures. Key topics include similarity and semantic search leveraging embedding vectors, Text-to-SQL query execution, and Retrieval-Augmented Generation (RAG). Participants will acquire hands-on skills in installing PgVector and PgAI, generating and ingesting vector embeddings, constructing vector indexes, and implementing semantic search alongside RAG workflows. Furthermore, the curriculum guides learners through building Text-to-SQL applications utilizing LangChain with Python or JavaScript. Through demonstrations and practical exercises, the course solidifies these core concepts and technical competencies.

This practical course delves into the real-world aspects of performance tuning in PostgreSQL. Participants will gain skills in analysing query execution, refining indexing strategies, tweaking memory and system settings, and effectively monitoring workloads. Through live exercises and real-world case studies, learners will understand how to pinpoint and resolve bottlenecks at both the database and system infrastructure levels.

Effectively managing and developing PostgreSQL databases demands extensive expertise in performance tuning, database replication, and connection pooling. This course delves into server administration, core SQL concepts, client interfaces, server-side programming, and the internal workings of the database. Through practical, hands-on training, Database Administrators (DBAs) and developers will learn to optimize query execution, handle backups, set up monitoring systems, and create robust, production-ready configurations tailored for enterprise-level PostgreSQL environments.

This training program 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 effective strategies for performing database backups and recovery.

This training program is tailored for Database Administrators and Architects seeking to master the tools and techniques required to implement Backups, High Availability, and Database Security within PostgreSQL.
You will also gain insights into identifying slow queries, monitoring database performance, and optimizing PostgreSQL for enhanced performance.

Executing zero-downtime PostgreSQL deployments requires proficiency in Streaming Replication and automated failover management. This course delves into synchronous and asynchronous replication, cascaded replication, transaction log archiving, base backups, and the monitoring of streaming configurations. Participants will learn to deploy pgpool-II for connection pooling, establish automated high availability, and ensure production-grade database reliability suitable for critical enterprise environments hosting high-traffic business applications.

This training is tailored for Database Administrators and Architects seeking to enhance the performance of their PostgreSQL databases. Participants will learn techniques to identify slow-running workloads and pinpoint potential query bottlenecks. Additionally, the course covers the critical parameters that need tuning to achieve optimal system performance.

In this instructor-led live training (onsite or remote), participants will explore both fundamental and advanced PostgreSQL topics, including administration, performance tuning, advanced development, and replication. Through a series of hands-on live lab exercises, participants will gain practical experience in setup, configuration, testing, deployment, and troubleshooting.

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

• Utilize advanced administration techniques to configure and manage a PostgreSQL server.
• Optimize database structures and queries to achieve maximum performance.
• Implement replication and scaling strategies for a PostgreSQL server.

PostgresAI serves as a platform empowering database teams to clone, test, and optimize PostgreSQL environments through AI-driven automation.

This instructor-led live training, available both online and onsite, is designed for advanced-level DevOps professionals and database engineers aiming to implement PostgresAI at an enterprise scale for database monitoring, cloning, and AI-powered optimization.

Upon completing this training, participants will be equipped to:

• Deploy and configure PostgresAI within enterprise settings.
• 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.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live lab environment.

Course Customization Options

• For a customized training package, please contact us to arrange.

This course offers practical guidance on interacting programmatically with PostgreSQL databases. Participants will master the essential techniques, syntaxes, and structural patterns required to build high-quality applications powered by a PostgreSQL backend. Additionally, the training addresses SQL Tuning, highlighting best practices for crafting efficient SQL queries.

The target audience comprises developers aiming 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 engage in building and administering multi-node environments, setting up automated failover mechanisms, and examining solutions for load balancing and connection pooling. The curriculum features hands-on replication labs and recovery simulations.

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level developers and administrators who wish to leverage the latest features and improvements in PostgreSQL 16.

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

• Understand the architecture and components of PostgreSQL 16.
• Utilize advanced SQL features and PostgreSQL extensions.
• Implement security best practices and access controls.
• Perform database administration tasks, including backup, recovery, and monitoring.
• Optimize database performance through tuning and indexing strategies.
• Utilize PostgreSQL's built-in tools for high availability and replication.
• Integrate PostgreSQL with modern application development frameworks.