Generative AI Application Development

This unit guides students through building, testing, and deploying generative AI web applications using Amazon Bedrock and Flask, with hands-on exercises such as a movie recognizer and interactive playground experimentation. It emphasizes prompt engineering, automating continuous learning, and implementing security and privacy practices for production-ready models.

Learning Objectives

• Analyze security, privacy, and continuous learning requirements for deployed LLM systems and propose an automated pipeline for safe model updates
• Apply AWS Bedrock playgrounds and tooling to prototype, compare, and log model behaviors for iterative development
• Demonstrate building and deploying a Flask-based generative AI web application that integrates Bedrock APIs and implements a movie recognizer feature
• Evaluate prompt variations and model outputs to refine prompt engineering, select effective prompts, and implement privacy-preserving data handling for retraining