PostgreSQL Advanced - Performance Management Training Course

Gain expertise in AI integration with Postgres through this live, instructor-led session in Argentina. 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 21-hour instructor-led training in Argentina 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.

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 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 Argentina (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 live, instructor-led training in Argentina 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.

Delving deeply into PostgreSQL replication, high availability, and cluster management, this course guides participants through building and managing multi-node environments. Key topics include configuring automated failover and exploring load balancing and connection pooling solutions, all reinforced through live replication labs and recovery simulations.

This instructor-led, live training in Argentina (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.