PostgreSQL Advanced: Scalability and Sharding (Citus) Training Course

Gain mastery over AI integration in Postgres with this live, instructor-led training in South Africa. Learn to configure extensions, implement pgvector embeddings, and connect LLMs for real-time insights. Optimise queries and build intelligent systems through hands-on practice in a live-lab environment.

This 21-hour instructor-led training in South Africa empowers data engineers and DBAs to integrate AI models seamlessly with PostgreSQL. Learners will acquire the skills to deploy optimized architectures, implement vector search, and enforce rigorous governance, thereby ensuring secure and high-performance enterprise-grade AI solutions.

This course explores the core principles of PostgreSQL server extensions and libraries designed to embed artificial intelligence techniques within database systems. Key topics include similarity and semantic search using embedding vectors, Text-to-SQL querying, and Retrieval-Augmented Generation (RAG). Participants will acquire the skills to install PgVector and PgAI, generate and load vector embeddings, construct vector indexes, implement semantic search and RAG solutions, and build Text-to-SQL applications employing LangChain with Python or JavaScript. Practical demonstrations and hands-on exercises reinforce these essential concepts and competencies.

This course explores the essential PostgreSQL server extensions that enable the integration of AI capabilities into database environments, with a specific focus on similarity and semantic search driven by embedding vectors. Participants will acquire the skills to install PgVector, generate and store vector embeddings, construct vector indexes, and execute semantic search queries. Through practical demonstrations and hands-on exercises, learners will solidify their understanding of these core concepts while developing practical, industry-relevant skills.

This practical course delves into the core aspects of performance optimisation within PostgreSQL. Learners will gain the skills required to dissect query execution, refine indexing strategies, fine-tune memory and system configurations, and oversee workloads with precision. Through real-world case studies and live exercises, participants will master the techniques for pinpointing and rectifying bottlenecks across both database and system layers.

This program equips you with the core competencies needed to deploy, configure, and oversee PostgreSQL databases with confidence. You will explore methods for enforcing user security, executing robust backup and restoration procedures, overseeing logging mechanisms, and optimising fundamental parameters. Through hands-on scenarios, you will carry out practical administrative duties and build a foundation for advanced concepts such as performance tuning and replication.

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

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

• Employ advanced administrative techniques to configure and manage a PostgreSQL server.
• Enhance database and query performance to achieve optimal efficiency.
• Implement replication strategies and scale a PostgreSQL server.

Conducted by an instructor in a live setting in South Africa, this training empowers advanced DevOps professionals and database engineers to implement PostgresAI at an enterprise level. Participants will gain proficiency in database cloning, AI-driven query optimisation, and monitoring through practical exercises in a live-lab environment.

This course provides detailed guidance on replication, high availability, and cluster management in PostgreSQL. It enables participants to establish and control multi-node setups, automate failover mechanisms, and investigate load balancing and connection pooling options, supported by hands-on replication labs and recovery drills.