PostgreSQL Advanced: Replication and High Availability (RepMgr, PgPool-II) Training Course

Gain mastery over AI integration within Postgres through this live, instructor-led training held in Botswana. You will learn to configure essential extensions, deploy pgvector embeddings, and link LLMs for real-time analytical insights. Furthermore, you will optimize query performance and construct intelligent systems within a hands-on live lab setting.

This 21-hour instructor-led training in Botswana empowers data engineers and DBAs to integrate AI models into PostgreSQL. Participants will learn to deploy optimized architectures, implement vector search, and enforce strict governance, ensuring the delivery of secure, high-performance enterprise-grade AI solutions.

This course explores the fundamentals of PostgreSQL server extensions and libraries designed to integrate artificial intelligence techniques into database systems. Topics include similarity and semantic search using embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Participants will learn how to install PgVector and PgAI, generate and load vector embeddings, create vector indexes, implement semantic search and RAG, and develop Text-to-SQL applications using LangChain with Python or JavaScript. Demonstrations and hands-on practice reinforce the core concepts and practical skills.

This module explores the key principles of leveraging PostgreSQL server extensions to embed AI capabilities within database environments, specifically concentrating on semantic and similarity search through embedding vectors. Participants will gain insight into installing PgVector, generating and loading vector embeddings, establishing vector indexes, and executing semantic search. A combination of live demonstrations and practical exercises will be utilized to reinforce these essential concepts and refine hands-on abilities.

This practical course delves into the core strategies for optimising PostgreSQL performance. Learners will develop the skills to evaluate query execution, refine indexing strategies, fine-tune memory and system configurations, and oversee workload efficiency. Through real-world case studies and interactive sessions, participants will explore methods for pinpointing and eliminating performance bottlenecks across both database and system layers.

This course provides the essential knowledge required to install, configure, and manage PostgreSQL databases effectively. Participants will learn how to handle user security, perform backups and restores, manage logs, and tune basic parameters. Through practical exercises, learners will perform real-world administration tasks and prepare for advanced topics such as performance and replication.

In this instructor-led live training Botswana (onsite or remote), participants will explore the general and advanced aspects of PostgreSQL. The course covers administration, performance tuning, advanced development, and replication through a series of hands-on, live-lab exercises involving 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.

This instructor-led, live training in Botswana prepares advanced DevOps professionals and database engineers to implement PostgresAI at an enterprise level. Participants will gain proficiency in database cloning, AI-driven query optimization, and monitoring through hands-on exercises in a live-lab environment.

This instructor-led, live training in Botswana (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.
• Utilise advanced SQL features and PostgreSQL extensions.
• Implement security best practices and access controls.
• Perform database administration tasks, including backup, recovery, and monitoring.
• Optimise database performance through tuning and indexing strategies.
• Utilise PostgreSQL's built-in tools for high availability and replication.
• Integrate PostgreSQL with modern application development frameworks.