PostgreSQL Training in Natal

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 DevOps professionals and database engineers looking to implement PostgresAI at an enterprise scale for database monitoring, cloning, and AI-driven optimization.

By the conclusion of this training, participants will be equipped to:

• Deploy and configure PostgresAI within enterprise environments.
• Integrate PostgresAI with CI/CD pipelines and PostgreSQL clusters.
• Utilize AI-driven insights to optimize queries and fine-tune performance.
• Implement governance, auditing, and data privacy controls for cloned environments.

Format of the Course

• Interactive lectures and discussions.
• Extensive 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 make arrangements.

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.

Postgres 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 seeking to integrate, manage, and optimize AI capabilities directly within Postgres.

Upon completing this training, participants will be able to:

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

Course Format

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

Customization Options

• To request a customized version of this course, please contact us to arrange your training.

This instructor-led, live training in Natal (online or onsite) is designed for beginner-level professionals who wish to learn how to use PostgreSQL for creating databases, writing SQL queries, manipulating data, and managing 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 Natal (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.

Successfully managing and developing PostgreSQL databases demands a profound understanding of performance tuning, database replication strategies, and connection pooling techniques. This comprehensive course delves into server administration, core SQL principles, client-side interfaces, server-side scripting, and the intricate internals of the database. Through practical, hands-on training, Database Administrators and developers gain the skills needed to optimize query execution, oversee backup procedures, implement effective monitoring, and construct resilient, enterprise-grade configurations for PostgreSQL environments.

This course focuses on programmatically interacting with PostgreSQL databases. Participants will master the techniques, syntax, and structures essential for building high-quality applications backed by PostgreSQL. The curriculum also includes SQL Tuning, emphasizing best practices for crafting efficient SQL code.

This training is designed for developers looking to utilize or extend PostgreSQL capabilities, as well as for database architects.

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

Participants will gain in-depth knowledge of PostgreSQL architecture, installation procedures, design principles, and database backup and recovery strategies.

In this instructor-led, live training in Natal (onsite or remote), participants will explore both the general and advanced aspects of PostgreSQL, including administration, performance tuning, advanced development, and replication. The curriculum involves stepping through a series of hands-on, live-lab exercises that cover setup, configuration, testing, deployment, and troubleshooting.

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

• Utilize 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 course is tailored for Database Administrators and Architects seeking to optimize PostgreSQL databases for peak performance. Participants will learn how to capture logs of slow-running workloads to identify potential bottlenecks within queries. The curriculum also highlights the critical parameters that require tuning to achieve optimal database performance.

This training is tailored for Database Administrators and Architects aiming to master the tools and techniques for implementing Backups, High Availability, and Database Security in PostgreSQL.
Participants will also learn how to identify slow queries, monitor database performance, and optimize PostgreSQL for peak efficiency.

Enabling zero-downtime PostgreSQL deployments requires expertise in streaming replication and automated failover management. This course explores 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, automate 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 Natal (online or onsite) is designed for database administrators and system administrators who want to use PostgreSQL to manage large-scale data while optimizing database systems for high availability and performance.

Upon completion 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 using 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 external tools for monitoring and observability.

This course explores the essential PostgreSQL server extensions and libraries designed to incorporate AI capabilities into database systems. Key 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, build vector indexes, implement semantic search and RAG solutions, and develop Text-to-SQL applications with LangChain using Python or JavaScript. Through demonstrations and hands-on exercises, the core concepts and practical skills are reinforced.

This practical course delves into the essential aspects of performance tuning within PostgreSQL. Participants will gain skills in analysing query execution, optimizing indexing strategies, configuring 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 offers a comprehensive exploration of replication, high availability, and cluster management within PostgreSQL. Attendees will learn to construct and manage multi-node environments, set up automated failover systems, and investigate load balancing and connection pooling strategies. The curriculum features hands-on replication labs and recovery simulations.

This intensive one-day, hands-on course centers on the design and implementation of distributed databases utilizing the Citus extension for PostgreSQL.
Participants gain insights into sharding large datasets, managing distributed queries, and constructing scalable, fault-tolerant PostgreSQL clusters.
Practical labs and real-world examples illustrate performance tuning, replication integration, and distributed workload management.