PostgreSQL Training in Buenos Aires

This live, instructor-led training in Buenos Aires empowers advanced DevOps professionals and database engineers to implement PostgresAI at an enterprise level. Participants will gain expertise in database cloning, AI-driven query optimization, and monitoring through practical exercises in a live-lab setting.

This 21-hour instructor-led training in Buenos Aires empowers data engineers and DBAs to integrate AI models into PostgreSQL. Learners will master the deployment of optimized architectures, implementation of vector search, and enforcement of strict governance, ensuring secure and high-performance enterprise-grade AI solutions.

Gain expertise in AI integration with Postgres through this live, instructor-led session in Buenos Aires. Acquire the skills to set up extensions, deploy pgvector embeddings, and link LLMs for immediate insights. Refine queries and develop smart systems within an interactive live-lab setting.

This instructor-led, live training in Buenos Aires (online or onsite) is designed for beginner-level professionals aiming to master PostgreSQL for database creation, SQL query writing, data manipulation, and table management using both SQL commands and PGAdmin. Additionally, the course offers a foundational introduction to the Timescale extension for handling time-series data.

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

• Grasp relational database principles and PostgreSQL architecture.
• Install, configure, and navigate PostgreSQL and PGAdmin.
• Write and execute SQL queries for data selection, filtering, grouping, and joining.
• Manipulate data using SQL statements and manage database objects.
• Create and manage views and explore PostgreSQL extensions such as Timescale.

This instructor-led, live training in Buenos Aires (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 core knowledge necessary to successfully install, configure, and manage PostgreSQL databases. Participants will explore user security management, backup and restoration procedures, log administration, and the tuning of essential parameters. Through practical exercises, learners will execute real-world administrative tasks, preparing them for advanced subjects such as performance optimization and replication.

In this instructor-led, live training in Buenos Aires (onsite or remote), participants will explore both fundamental and advanced aspects of PostgreSQL. The curriculum covers administration, performance tuning, sophisticated development practices, and replication. Learners will engage in a series of hands-on, live-lab exercises that guide them through setup, configuration, testing, deployment, and troubleshooting.

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

• Employ advanced administration techniques to configure and manage a PostgreSQL server.
• Optimize the database and its queries to achieve peak performance.
• Replicate and scale a PostgreSQL server effectively.

This instructor-led, live training in Buenos Aires (online or onsite) is aimed at database admins and sysadmins who wish to use PostgreSQL to manage large-scale data while optimizing the 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 foundational aspects of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence into database systems. 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 load vector embeddings, establish vector indexes, implement semantic search and RAG workflows, and build Text-to-SQL applications using LangChain with Python or JavaScript. Through demonstrations and practical exercises, the core concepts and essential skills are reinforced.

This course explores the core functionalities of PostgreSQL server extensions designed to incorporate artificial intelligence capabilities into database architectures. It places a strong emphasis on similarity and semantic search leveraging embedding vectors. Learners will acquire the skills to install PgVector, generate and ingest vector embeddings, construct vector indexes, and execute semantic search queries. Through a blend of live demonstrations and practical exercises, the curriculum reinforces fundamental concepts and hands-on proficiency.

This practical course concentrates on the hands-on elements of performance tuning within PostgreSQL. Participants will acquire the skills to analyse query execution, refine indexing strategies, tweak memory and system parameters, and effectively monitor workloads. Through real-world scenarios and live exercises, attendees will discover how to detect and resolve bottlenecks at both the database and system levels.

This course offers comprehensive insights into replication, high availability, and cluster management within PostgreSQL. Participants will learn to construct and oversee multi-node environments, set up automated failover mechanisms, and investigate load balancing and connection pooling options. The program features hands-on replication labs and recovery simulations.

This intensive one-day, hands-on course concentrates on the design and implementation of distributed databases utilizing the Citus extension for PostgreSQL.
Participants will acquire skills in 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 the management of distributed workloads.