AI Data Pipelines with Spring

Course details

The lack of data integration is a common blocker preventing organizations from unlocking the power of artificial intelligence. Spring is a popular collection of projects that simplifies data integration and artificial intelligence development for Java applications. In this course, learn how Spring can be used to build data pipelines. Discover how Spring AI makes it easy to use AI models using the Java programming language. Understand how to build data pipelines with Spring Batch and Spring Cloud Streams with RabbitMQ Learn how features within Postgres enable vector databases and machine learning for AI workloads.

Learning objectives
Get an overview of data pipelines and AI programming.
Review, build, and deploy applications using Spring projects and pipeline data services.
Gain experience using RabbitMQ for streaming and Postgres (along with PostgresML) as a Vector database.
Learn how to create batching and streaming for AI data flows.

Concepts

Introduction

Building AI data pipelines

AI Data Pipelines and Spring

Introducing AI data pipelines

Getting Spring Batch Data Pipelines

Introducing Spring Batch for data pipelines
Spring Batch data pipeline with Postgres

Spring Cloud Stream Data Pipelines with Postgres

Introducing Spring Cloud Stream for data pipelines
API Spring Cloud Stream source with RabbitMQ
Building API data pipeline Postgres sink
Building API data pipeline Postgres processor