Implementing High Availability in PostgreSQL Training Course

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

This instructor-led, live training (available online or on-site) is designed for intermediate-level database professionals and developers who want 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 tailored for AI workloads.
• Implement embeddings and similarity search using pgvector.
• Integrate both open-source and proprietary large language models (LLMs) with Postgres to gain real-time insights.
• Optimize Postgres for handling AI-driven queries and workflows efficiently.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• 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 enhanced with AI capabilities for enterprise data intelligence, predictive analytics, and automation.

This instructor-led, live training (online or onsite) is designed for intermediate to advanced-level data engineers, DBAs, and solution architects who wish to design, implement, and manage enterprise-grade AI systems using 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.
• Securely leverage open source and proprietary AI frameworks within PostgreSQL environments.

Format of the Course

• Interactive lectures and discussions on enterprise case studies.
• 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 Taiwan (online or onsite) is aimed at 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 hands-on course focuses on the practical aspects of performance tuning in PostgreSQL. Participants will learn to analyse query execution, optimise indexing, adjust memory and system parameters, and monitor workloads effectively. Real-world scenarios and live exercises demonstrate how to identify and resolve bottlenecks at both the database and system levels.

This course focuses on the administration and performance optimization of PostgreSQL databases. Participants will gain expertise in using specialized PostgreSQL (also known as Postgres) features, including replication, connection pooling, and full-text search.

This training program is tailored for Database Administrators and Architects looking to master PostgreSQL fundamentals.

Participants will gain insights into PostgreSQL’s architecture, installation processes, design principles, and techniques for performing database backups and recoveries.

This training program is tailored for Database Administrators and Architects who are looking to master the tools and techniques required for implementing backups, high availability, and database security in PostgreSQL. Additionally, you will gain skills in identifying slow queries, monitoring database performance, and optimizing PostgreSQL for enhanced performance.

This training is tailored for Database Administrators and Architects looking to optimize the performance of their PostgreSQL databases. You will learn techniques for logging slow queries and identifying potential bottlenecks within them. The course also delves into the crucial parameters that need to be fine-tuned to achieve optimal database performance.

In this instructor-led, live training in Taiwan (onsite or remote), participants will learn the general and advanced aspects of PostgreSQL, including administration, performance turning, advanced development, and replication as they step 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 is a platform that empowers database teams to clone, test, and optimize PostgreSQL environments using AI-driven automation.

This instructor-led, live training (available online or onsite) is designed for advanced DevOps professionals and database engineers who aim to implement PostgresAI at an enterprise level 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 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 in cloned environments.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This course offers programmatic interaction with PostgreSQL databases, teaching the techniques, syntax, and structures necessary to develop high-quality applications using a PostgreSQL backend. The training also delves into SQL tuning, covering best practices for writing efficient SQL queries.

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

This course provides in-depth coverage of replication, high availability, and cluster management in PostgreSQL. Participants will build and manage multi-node environments, configure failover automation, and explore load balancing and connection pooling solutions. The course includes live replication labs and recovery simulations.

This instructor-led, live training in Taiwan (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.

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