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AWS AI and Machine Learning

Integrate Bedrock, RAG, Textract, Comprehend, Rekognition, and SageMaker with Spring Boot applications.

Integrate Bedrock, RAG, Textract, Comprehend, Rekognition, and SageMaker with Spring Boot applications.

Read these lessons in order. This page defines the Previous and Next navigation for the AWS AI and Machine Learning module.

Learning Path

  1. Bedrock Spring Boot
  2. RAG with Bedrock, S3, and OpenSearch
  3. Textract Spring Boot
  4. Comprehend Spring Boot
  5. Rekognition Spring Boot
  6. SageMaker Endpoint Integration

How To Use This Module

  1. Start with the first lesson and continue in order.
  2. Build a small Spring Boot example for the major services in this section.
  3. Add security, observability, cost, and operational checks before treating the design as production-ready.
  4. Return to the AWS Cloud Learning Path when this module is complete.

Outcome

By the end of AWS AI and Machine Learning, you should understand the AWS services in this section, how they integrate with Spring Boot, and what must be validated for enterprise workloads.

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