PostgreSQL AI: Introduction to semantic search Training Course

Gain proficiency in integrating AI with Postgres through this live, instructor-led session held in Nigeria. You will learn to configure necessary extensions, deploy pgvector for embeddings, and connect LLMs for instantaneous insights. Furthermore, optimize your queries and build intelligent systems through practical, hands-on exercises in a live-lab setting.

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

This course introduces the core concepts of PostgreSQL server extensions and libraries designed to incorporate artificial intelligence into database systems. Key topics include semantic and similarity search using embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Participants will acquire skills in installing PgVector and PgAI, generating and loading vector embeddings, creating vector indexes, and implementing semantic search and RAG functionalities. Additionally, the curriculum covers building Text-to-SQL applications with LangChain using Python or JavaScript. Through demonstrations and practical exercises, learners will reinforce both theoretical knowledge and technical proficiency.

This practical course is dedicated to the real-world application of performance tuning within PostgreSQL. It guides participants through the process of analyzing query execution, refining indexing strategies, tuning memory and system settings, and monitoring active workloads. Through real-world scenarios and live practical exercises, you will learn how to pinpoint and resolve performance bottlenecks at both the database and system levels.

This course delivers the foundational skills needed to deploy, configure, and oversee PostgreSQL databases with confidence. Participants will gain proficiency in securing user access, executing robust backup and restoration strategies, overseeing log management, and optimizing core parameters. Through hands-on exercises, learners will tackle practical administration scenarios while building a strong base for exploring advanced concepts like high performance and data replication.

In this instructor-led live training conducted Nigeria (either on-site or remotely), participants will explore the core and advanced capabilities of PostgreSQL. The programme includes administration, performance tuning, advanced development, and replication, guided by 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 administrative methods to configure and oversee a PostgreSQL server.
• Enhance the performance of the database and queries to maximum potential.
• Execute replication and scaling of a PostgreSQL server.

This instructor-led, live training in Nigeria empowers advanced DevOps professionals and database engineers to implement PostgresAI at an enterprise scale. Participants will gain mastery over database cloning, AI-driven query optimization, and monitoring through hands-on exercises in a live-lab setting.

This course delivers a detailed look into PostgreSQL replication, high availability, and cluster administration. Participants will construct and manage multi-node setups, implement automated failover mechanisms, and explore load balancing and connection pooling options. The curriculum incorporates hands-on replication labs and recovery exercises.

This instructor-led, live training in Nigeria (online or in-person) is designed for intermediate developers and administrators eager to exploit the newest 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.