AI Data Pipelines with Spring
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 31m | 211 MB
Instructor: Gregory Green
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 31m | 211 MB
Instructor: Gregory Green
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.