Session

Building and Integrating APIs in AWS Amplify with Bedrock Model Evaluation

In this in-depth session, you will learn how to create and connect a fully functional API within AWS Amplify and seamlessly integrate it with Amplify’s UI components. We will explore how to leverage Amplify's powerful features to build cloud-powered APIs and interact with real-time data.

The session will also cover the process of integrating AWS Bedrock’s AI models into your Amplify app. Using Bedrock’s foundation models, you will learn how to evaluate and process data from the API, providing AI-driven insights within your application.

This session will be a mix of theory and hands-on practice, walking you through:

Creating a REST or GraphQL API with AWS Amplify.
Connecting the API to your Amplify UI for dynamic and real-time data handling.
Using AWS Bedrock to evaluate AI models, and incorporating results directly into your app.
By the end of this session, you will have the knowledge and skills to build scalable, AI-powered APIs with Amplify, integrate them into front-end UIs, and unlock the potential of AWS Bedrock models for advanced data processing.

Key Takeaways:

Build, deploy, and secure APIs in AWS Amplify.
Connect Amplify APIs to front-end UIs using Amplify's powerful UI library.
Integrate AWS Bedrock models for seamless AI evaluations and insights.

Aadhityaa S B

(AI Developer) - Camu (Octoze Technologies Pvt. Ltd.)

Chennai, India

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