Building Generative AI Workflows with Amazon Bedrock

Generative AI transforms how applications interact with users by enabling dynamic, context-aware, and highly personalized responses. Amazon Bedrock provides a powerful platform for building and managing foundational models, prompt flows, and AI-driven agents. This Cloud Lab uses Amazon Bedrock to design intelligent workflows that support user interactions within a cloud learning platform.

In this Cloud Lab, you will explore Amazon Bedrock’s foundational components, including prompt management, Bedrock Agents, Knowledge Bases, and pretrained foundational models. You’ll understand how Bedrock integrates with other AWS services to provide a seamless environment for managing AI capabilities. Moreover, you’ll set up a Lambda function to analyze the query’s category and an RDS database to store and manage embeddings, enabling efficient retrieval and contextual responses.

Moving forward, you’ll design and deploy Prompt Flows tailored to various user queries. These flows will ensure that responses align with user intents and context. You’ll also implement strategies for dynamically adapting prompts based on the user’s query complexity.

Finally, you’ll simulate real-world scenarios by building a support system for Cloud Labs. This system will leverage Bedrock agents to respond intelligently to user queries, ranging from basic information requests to assisting them with setting up their infrastructure for different scenarios.

After completing this Cloud Lab, you will gain hands-on experience creating AI-driven workflows that enhance user engagement. You’ll also better understand how foundational models, Prompt Flows, and data storage solutions work together to deliver robust and scalable AI applications.