Using Amazon Bedrock

CHAPTER 9Building End-to-End Applications with Generative AI

Throughout the book so far, we have explored different implementations of generative AI, whether they be through generating simple applications with text or fine-tuning simple models to achieve your needs. However, the industry has already advanced to implementing end-to-end applications with those simple applications as the foundations. From being able to provide recommendations of restaurants near the area to designing optimized parts to meet specific goals and constraints, it truly is expendable to almost any industry and boosts the competitiveness of organizations that employ it as part of their core capabilities.

Understanding when and how to build end-to-end applications is crucial because it bridges the gap between basic AI use cases and real-world systems that deliver substantial value. For the average practitioner, these applications become relevant when scaling solutions, addressing multifaceted challenges, or meeting the growing demand for automation, personalization, and decision support. Knowing when to evolve from simple implementations to more end-to-end, domain-specific applications is key to maximizing the return on investment in generative AI technologies.

This chapter delves into the intricate process of building end-to-end applications that are powered by generative AI, exploring its potential in revolutionizing different sectors. In doing so, we will utilize several new key AWS tools to work alongside ...