Online PostgreSQL Training in Botswana

PostgresAI is a platform that enables database teams to clone, test, and optimise 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 optimisation.

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 optimisation 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.

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 online or onsite) targets intermediate to advanced data engineers, DBAs, and solution architects who wish to design, implement, and govern enterprise-grade AI systems leveraging PostgreSQL.

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

• Integrate AI models and vector search capabilities directly into PostgreSQL.
• Deploy AI-optimised architectures suited for high-volume enterprise workloads.
• Implement robust governance, auditing, and compliance measures for AI data pipelines.
• Leverage open-source and proprietary AI frameworks securely within PostgreSQL environments.

Course Format

• 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 customized training for this course, please contact us to arrange.

Postgres serves as a robust open-source relational database foundation, capable of supporting AI-powered systems and advanced data intelligence applications.

This instructor-led live training, available either online or onsite, is tailored for database professionals and developers with intermediate skills who aim to integrate, manage, and optimise AI capabilities directly within Postgres.

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

• Set up and configure Postgres extensions specifically for AI workloads.
• Implement embeddings and similarity search functionalities using pgvector.
• Integrate both open-source and proprietary Large Language Models (LLMs) with Postgres to gain real-time insights.
• Optimise Postgres to effectively handle AI-driven queries and workflows.

Course Format

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

Customisation Options for the Course

• To request a tailored training session for this course, please contact us to arrange it.

This instructor-led, live training in Botswana (online or onsite) is designed for beginner-level professionals aiming to learn how to use PostgreSQL to create databases, write SQL queries, manipulate data, and manage tables using both SQL commands and PGAdmin. The course also provides a basic introduction to the Timescale extension for time-series data.

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

• Understand relational database principles and PostgreSQL architecture.
• Install, configure, and navigate PostgreSQL and PGAdmin.
• Write and run SQL queries for data selection, filtering, grouping, and joining.
• Manipulate data with SQL statements and manage database objects.
• Create and manage views and explore PostgreSQL extensions like Timescale.

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.

Managing and developing PostgreSQL databases demands a thorough understanding of performance optimisation, database replication, and connection pooling. This course encompasses server administration, SQL fundamentals, client interfaces, server-side programming, and database internals. Practical training empowers DBAs and developers to optimise query execution, manage backups, configure monitoring, and construct robust, production-grade configurations for enterprise-level PostgreSQL environments.

This course focuses on programmatically interacting with PostgreSQL databases. Participants will master the techniques, syntaxes, and structures required to build high-quality applications using a PostgreSQL backend. The training also addresses SQL Tuning, outlining best practices for crafting efficient SQL queries.

The target audience comprises developers who wish to use or extend PostgreSQL, as well as database architects.

This training programme is tailored for Database Administrators and Architects seeking to master PostgreSQL from the ground up.

Participants will gain comprehensive knowledge of PostgreSQL architecture, installation procedures, design principles, and techniques for performing database backups and recoveries within the PostgreSQL environment.

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 programme is tailored for Database Administrators and Architects aiming to enhance PostgreSQL Database performance. Discover techniques to capture slow-running workloads and identify potential bottlenecks within queries. The course also addresses the critical parameters that require adjustment to achieve optimal efficiency.

This training programme 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 learn how to identify slow queries, monitor database performance, and tune PostgreSQL for optimal performance.

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

This instructor-led, live training in Botswana (online or onsite) is aimed at database admins and sysadmins who wish to use PostgreSQL to manage large-scale data while optimizing the database systems for high availability and performance.

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

• Install and configure PostgreSQL.
• Understand the features and architecture of PostgreSQL.
• Learn how to perform database operations with SQL.
• Perform database backup and recovery to prevent data loss.
• Configure the server for high availability.
• Learn the tools and techniques for high performance tuning.
• Explore the external tools for monitoring and observability.

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 practical course centres on the hands-on aspects of performance tuning in PostgreSQL. Participants will acquire skills in analysing query execution, optimising indexing, fine-tuning memory and system parameters, and effectively monitoring workloads. Through real-world scenarios and live exercises, attendees will learn how to identify and resolve bottlenecks at both the database and system levels.

This course delivers comprehensive insights into replication, high availability, and cluster management within PostgreSQL. Participants will construct and oversee multi-node environments, set up automated failover mechanisms, and examine load balancing and connection pooling options. The curriculum features practical replication labs and disaster recovery simulations.

This intensive one-day practical course concentrates on the design and implementation of distributed database systems using the Citus extension for PostgreSQL.
Participants will learn techniques for sharding large datasets, managing queries across distributed environments, and constructing scalable, fault-tolerant PostgreSQL clusters.
Through real-world examples and hands-on labs, attendees will explore performance tuning, replication integration, and the management of distributed workloads.