PostgreSQL Training in Leon

This live, instructor-led training in Leon is designed to equip advanced DevOps professionals and database engineers with the skills to implement PostgresAI at an enterprise level. Through hands-on exercises in a live-lab setting, participants will master database cloning, AI-driven query optimization, and comprehensive monitoring.

This 21-hour instructor-led training in Leon enables data engineers and DBAs to integrate AI models into PostgreSQL. Participants will learn to deploy optimized architectures, implement vector search, and enforce strict governance, ensuring secure and high-performance enterprise-grade AI solutions.

Gain mastery in AI integration with Postgres through this live, instructor-led training held in Leon. Participants will learn to configure extensions, implement pgvector embeddings, and link LLMs for immediate insights. This program emphasizes query optimization and the construction of intelligent systems within a practical, hands-on live-lab setting.

This instructor-led, live training in Leon (online or onsite) is aimed at 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 Leon (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.

This course delivers the critical insights necessary to successfully install, set up, and administer PostgreSQL databases. You will develop skills in securing user access, executing backup and restore operations, handling logs, and adjusting basic parameters. Through practical, scenario-based exercises, you will perform authentic administrative duties and position yourself for advanced study in performance optimization and replication.

This instructor-led, live training in Leon (onsite or remote) covers both general and advanced aspects of PostgreSQL. Participants will explore administration, performance tuning, advanced development, and replication through a series of hands-on, live-lab exercises that involve 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 instructor-led, live training in Leon (online or onsite) is designed for database administrators and sysadmins who want to leverage PostgreSQL to manage large-scale data while optimizing 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 core concepts of PostgreSQL server extensions and libraries designed to integrate artificial intelligence techniques 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, create vector indexes, implement semantic search and RAG, and develop Text-to-SQL applications using LangChain with Python or JavaScript. The course emphasizes demonstrations and hands-on practice to reinforce core concepts and practical skills.

This course explores the fundamentals of extending PostgreSQL servers to incorporate AI capabilities, focusing on similarity and semantic search driven by embedding vectors. Learners will gain proficiency in installing PgVector, generating and loading vector embeddings, building vector indexes, and executing semantic search queries. Through a blend of live demonstrations and hands-on exercises, the course strengthens both core theoretical understanding and practical application skills.

This practical course focuses on the core principles of performance tuning in PostgreSQL. Participants will master the analysis of query execution, the optimization of indexing strategies, the fine-tuning of memory and system parameters, and the effective monitoring of workloads. Through real-world scenarios and live exercises, the curriculum demonstrates how to pinpoint and resolve performance bottlenecks at both the database and system levels.

This course delivers an in-depth exploration of replication, high availability, and cluster management in PostgreSQL. It enables participants to assemble and control multi-node environments, implement automated failover, and examine load balancing and connection pooling options. The learning experience includes practical replication labs and recovery drills.

This intensive one-day, hands-on workshop is dedicated to the design and deployment of distributed database systems, leveraging the Citus extension for PostgreSQL.
Learners will explore techniques for sharding large datasets, overseeing distributed queries, and constructing scalable, fault-tolerant PostgreSQL clusters.
Through real-world scenarios and practical labs, the course covers performance tuning, replication integration, and the management of distributed workloads.