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 instructor-led live training in India (available online or onsite) targets 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 delves into the core principles of PostgreSQL server extensions and libraries designed to integrate artificial intelligence 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 acquire the skills 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 utilizing LangChain with Python or JavaScript. Practical demonstrations and hands-on exercises are employed to solidify foundational concepts and enhance practical proficiency.

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.

This programme covers the administration and performance optimisation of PostgreSQL databases. Participants will gain expertise in utilising specialised 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 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.

This course is tailored for Database Administrators and Architects seeking to master Streaming Replication in PostgreSQL. It demonstrates how to leverage pgpool-II to enable automatic failover capabilities and establish a highly available PostgreSQL Database Cluster.

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.