Implementing High Availability in PostgreSQL Training Course

PostgreSQL is a sophisticated open-source relational database that serves as a robust foundation for AI-driven systems and data intelligence applications.

This instructor-led, live training (available online or onsite) is designed for intermediate-level database professionals and developers looking to integrate, manage, and optimize AI capabilities directly within PostgreSQL.

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

• Set up and configure PostgreSQL extensions tailored for AI workloads.
• Implement embeddings and perform similarity search using pgvector.
• Integrate both open-source and proprietary Large Language Models (LLMs) with PostgreSQL for real-time insights.
• Optimize PostgreSQL to efficiently handle AI-driven queries and workflows.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

• To request 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 empower enterprise data intelligence, predictive analytics, and automation.

This instructor-led live training (available online or onsite) is designed for intermediate to advanced data engineers, DBAs, and solution architects who aim to design, implement, and govern enterprise-grade AI systems leveraging PostgreSQL.

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

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

Course Format

• Interactive lectures and enterprise case studies.
• Practical exercises and real-world lab scenarios.
• Hands-on implementation within a live PostgreSQL environment.

Customization Options

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

This instructor-led, live training in Taiwan (online or onsite) is designed for 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 practical course emphasizes the real-world application of performance tuning within PostgreSQL. Participants will gain skills in analyzing query execution, optimizing indexing strategies, adjusting memory and system configurations, and effectively monitoring workloads. Through live exercises and realistic scenarios, attendees will learn to pinpoint and resolve bottlenecks at both the database and infrastructure levels.

This course covers the administration and performance optimization of PostgreSQL databases. Participants will learn how to utilize specialized PostgreSQL (also known as Postgres) modules, 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 insights into PostgreSQL architecture, installation procedures, design principles, and methods for executing database backups and recovery.

This course is tailored for Database Administrators and Architects aiming to master the tools and techniques required to implement Backups, High Availability, and Database Security within PostgreSQL.
Participants will also acquire skills to identify slow queries, monitor database performance, and optimize PostgreSQL for enhanced efficiency.

This course is tailored for Database Administrators and Architects seeking to enhance PostgreSQL database performance. Participants will learn to identify slow-running workloads and pinpoint potential bottlenecks within queries. Additionally, the training covers critical configuration parameters that must be adjusted to achieve optimal performance.

In this instructor-led live training conducted in Taiwan (onsite or remote), participants will explore the general and advanced aspects of PostgreSQL. The program includes administration, performance tuning, advanced development, and replication, delivered through a series of hands-on live-lab exercises covering 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 through AI-driven automation.

This instructor-led, live training (available online or onsite) is designed for advanced-level DevOps professionals and database engineers who aim to implement PostgresAI at enterprise scale for database monitoring, cloning, and AI-driven optimization.

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

• Deploy and configure PostgresAI within 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.

Course Format

• Interactive lecture and discussion.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This course provides programmatic interaction with PostgreSQL databases. Learn techniques, syntaxes and structures needed to develop quality applications using PostgreSQL backend. This training also covers SQL Tuning covering best practices for writing efficient SQL.

Target audience includes developers who want to use or extend PostgreSQL, as well as database architects.

This course delves deeply into replication, high availability, and cluster management within PostgreSQL. Participants will learn to build and oversee multi-node environments, set up automated failover, and investigate load balancing and connection pooling strategies. The training features hands-on 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.