Implementing High Availability in PostgreSQL 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 powerful, open-source relational database that can be enhanced with AI capabilities for enterprise data intelligence, predictive analytics, and automation.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level data engineers, DBAs, and solution architects who wish to design, implement, and govern enterprise-grade AI systems that leverage PostgreSQL.

By completing this program, participants will gain the expertise to:

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

Format of the Course

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

This instructor-led live training in Malaysia (online or onsite) is targeted at database administrators and cloud architects looking 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 explores the core principles of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence techniques into database environments. Key topics include similarity and semantic search using embedding vectors, Text-to-SQL query capabilities, and Retrieval-Augmented Generation (RAG). Participants will learn how to install PgVector and PgAI, generate and import vector embeddings, establish vector indexes, and implement semantic search and RAG functionalities. Additionally, the course covers developing Text-to-SQL applications with LangChain, utilizing Python or JavaScript. Through demonstrations and hands-on exercises, the essential concepts and practical skills are reinforced.

This practical course centres on the hands-on techniques for tuning PostgreSQL performance. Participants will acquire the skills to analyse query execution, refine indexing strategies, tune memory and system configurations, and effectively monitor workloads. Through real-world case studies and live demonstrations, learners will discover how to pinpoint and eliminate bottlenecks at both the database and system infrastructure levels.

This programme focuses on the management and performance optimisation of PostgreSQL databases. Participants will acquire skills in utilising advanced PostgreSQL (also known as Postgres) features, including replication, connection pooling, and full-text search capabilities.

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

Participants will gain a comprehensive understanding of PostgreSQL's architecture, installation processes, database design principles, and the essential techniques for performing backup and recovery operations.

This course is tailored for Database Administrators and Architects seeking to master the tools and methodologies required for implementing robust Backups, High Availability solutions, and Database Security within PostgreSQL.
Participants will also gain proficiency in identifying slow queries, monitoring database performance, and tuning PostgreSQL to achieve optimal efficiency.

This training is tailored for Database Administrators and Architects aiming to optimize PostgreSQL databases for peak performance. You will learn how to monitor slow-running workloads and identify potential bottlenecks within queries. The curriculum also highlights the critical parameters that require tuning to achieve optimal performance.

In this instructor-led, live training in Malaysia (onsite or remote), participants will explore the general and advanced aspects of PostgreSQL, including 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.

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

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

Upon completion of this training, participants will be capable of:

• Deploying and configuring PostgresAI within enterprise infrastructure.
• Integrating PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Utilizing AI-generated insights to enhance query performance and tuning.
• Establishing governance, auditing, and data privacy controls for cloned environments.

Course Delivery Format

• Interactive lectures and discussions.
• Extensive exercises and practical applications.
• Hands-on implementation in a live-lab setting.

Customization Options

• For bespoke training arrangements, please reach out to us to discuss your requirements.

This course delves into the programmatic interaction with PostgreSQL databases. Participants will master the techniques, syntaxes, and structural concepts essential for building robust applications backed by PostgreSQL. The training also encompasses SQL Tuning, offering best practices for crafting highly efficient SQL queries.

This course is designed for developers aiming to utilise or extend PostgreSQL capabilities, as well as database architects seeking to deepen their expertise.

This programme offers comprehensive insights into replication, high availability, and cluster management within PostgreSQL. Participants will gain hands-on experience in building and managing multi-node environments, configuring automated failover systems, and exploring solutions for load balancing and connection pooling. The curriculum features live replication labs and recovery simulations to reinforce learning.

This instructor-led live training in Malaysia (online or onsite) targets sysadmins and developers who want to utilise 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.