PostgreSQL Essentials Training Course

Postgres is an advanced open-source relational database that can serve as a foundation for AI-powered systems and data intelligence applications.

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

By the end of 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 augmented with AI capabilities to enhance enterprise data intelligence, predictive analytics, and automation.

This instructor-led training, available both online and onsite, targets intermediate to advanced data engineers, DBAs, and solution architects seeking to design, implement, and govern enterprise-grade AI systems leveraging PostgreSQL.

Upon completion of this programme, participants will acquire the expertise to:

• Integrate AI models and vector search functionalities directly into PostgreSQL.
• Deploy AI-optimized architectures tailored for high-volume enterprise workloads.
• Establish robust governance, auditing, and compliance frameworks for AI data pipelines.
• Securely utilize both open-source and proprietary AI frameworks within PostgreSQL environments.

Course Format

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

Course Customization Options

• To arrange a customized training session for this course, please contact us.

This instructor-led live training in Kenya (available online or onsite) is intended for database administrators and cloud architects aiming 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 identify the database that best supports business objectives and needs.
• Prepare databases for the migration of definitions, data, and procedures from Oracle to AzureSQL or PostgreSQL.
• Carry out post-migration steps such as testing, optimizing, updating, and maintaining the new database.

This course explores the core principles of PostgreSQL server extensions and libraries designed to embed artificial intelligence capabilities into database architectures. 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, establish vector indexes, execute semantic search and RAG workflows, and build Text-to-SQL applications using LangChain with Python or JavaScript. Through practical demonstrations and hands-on exercises, the essential concepts and technical competencies are reinforced.

This practical course centres on the hands-on techniques for tuning PostgreSQL performance. Participants will gain skills in analyzing query execution, optimizing indexing strategies, configuring memory and system settings, and effectively monitoring workloads. Through real-world scenarios and live exercises, the course demonstrates how to pinpoint 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 the tools and techniques required for implementing backups, high availability, and database security within PostgreSQL.
Participants will also gain insights into identifying slow queries, monitoring database performance, and fine-tuning PostgreSQL for optimal speed.

This course targets Database Administrators and Architects seeking to master Streaming Replication within PostgreSQL. It explores how pgpool-II facilitates automatic failover mechanisms and enables the establishment of a highly available PostgreSQL Database Cluster.

This course is tailored for Database Administrators and Architects seeking to enhance the performance of their PostgreSQL databases. Participants will learn how to capture slow-running workloads, identify potential bottlenecks within queries, and adjust critical configuration parameters to achieve optimal system performance.

In this instructor-led live training Kenya (onsite or remote), participants will gain knowledge of the general and advanced aspects of PostgreSQL, including administration, performance tuning, advanced development, and replication. This is achieved through a series of hands-on live-lab exercises that cover 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

• 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 focuses on the programmatic interaction with PostgreSQL databases. Participants will learn the essential techniques, syntax, and structures required to build high-quality applications backed by PostgreSQL. The training also includes SQL Tuning, emphasizing best practices for writing efficient SQL code.

The target audience comprises developers who wish to utilize or extend PostgreSQL, 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 options for load balancing and connection pooling. The curriculum features hands-on replication labs and recovery simulations to reinforce learning.

This instructor-led, live training in Kenya (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.