PostgreSQL Training in Lyon

This instructor-led, live training in Lyon is designed to prepare advanced DevOps professionals and database engineers to implement PostgresAI at an enterprise level. Participants will gain mastery in database cloning, AI-driven query optimization, and monitoring through hands-on exercises in a live-lab environment.

This 21-hour instructor-led training in Lyon 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.

Unlock the power of AI integration in Postgres with this live, instructor-led training in Lyon. Discover how to configure extensions, implement pgvector embeddings, and connect LLMs for instant insights. Gain hands-on experience optimizing queries and building intelligent systems in a dynamic live-lab environment.

This instructor-led, live training in Lyon (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 Lyon (online or onsite) is aimed at intermediate-level developers and administrators who wish to leverage the latest features and improvements in PostgreSQL 16.

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

• Grasp the architecture and components of PostgreSQL 16.
• Employ advanced SQL features and PostgreSQL extensions.
• Implement security best practices and access controls.
• Perform database administration tasks, including backup, recovery, and monitoring.
• Enhance database performance through tuning and indexing strategies.
• Leverage PostgreSQL's built-in tools for high availability and replication.
• Integrate PostgreSQL with modern application development frameworks.

This course equips learners with the core skills necessary to deploy, configure, and oversee PostgreSQL database environments with confidence. Attendees will gain proficiency in securing user access, executing backup and restoration procedures, overseeing logging activities, and optimizing fundamental settings. By engaging in hands-on practical tasks, students will tackle real-world administrative challenges while building a solid foundation for more advanced concepts, including performance optimization and replication.

In this instructor-led live training delivered in Lyon (onsite or remote), participants will gain insights into the general and advanced aspects of PostgreSQL. Key topics include administration, performance tuning, advanced development, and replication, all reinforced through 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.

This instructor-led, live training in Lyon (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 embed artificial intelligence techniques within database environments. Key topics include similarity and semantic search utilizing embedding vectors, Text-to-SQL query capabilities, and Retrieval-Augmented Generation (RAG). Participants will master the installation of PgVector and PgAI, learn to generate and load vector embeddings, construct vector indexes, and implement semantic search and RAG solutions. Additionally, attendees will develop Text-to-SQL applications using LangChain with Python or JavaScript. Through live demonstrations and practical exercises, the core concepts and applicable skills are reinforced.

This course delves into the basics of PostgreSQL server extensions designed to embed AI techniques into database systems, specifically focusing on similarity and semantic search utilizing embedding vectors. Learners will master the process of installing PgVector, handling vector embeddings, creating vector indexes, and deploying semantic search functionalities. The curriculum reinforces key concepts and practical competencies through interactive demonstrations and hands-on sessions.

This practical course dives deep into the real-world application of performance tuning within PostgreSQL. It guides participants through analyzing query execution, refining index strategies, fine-tuning memory and system parameters, and implementing effective workload monitoring. Through real-world scenarios and live exercises, learners will gain the skills to pinpoint and resolve bottlenecks across both database and system levels.

This program delivers a deep dive into PostgreSQL replication, high availability, and cluster management. Students will learn to build and administer multi-node setups, configure automated failover, and implement load balancing and connection pooling. The course incorporates live replication exercises and recovery drills.

This intensive one-day practical session explores the design and deployment of distributed database systems using the Citus extension for PostgreSQL.
It equips participants with the skills to shard large-scale datasets, control distributed query execution, and engineer scalable, fault-tolerant PostgreSQL clusters.
The curriculum incorporates real-world case studies and practical labs to illustrate performance tuning, replication integration, and the effective management of distributed workloads.