Building Generative AI Applications with Amazon Bedrock

Overview

Build cutting-edge generative AI applications with Amazon Bedrock and Python. Learn to integrate models in applications using BOTO3 and APIs, leverage AWS services such as S3 and Amazon Aurora, and create end-to-end AI solutions. Through practical exercises and a real-world project, you'll gain expertise in Retrieval-Augmented Generation (RAG), embeddings, and secure AI pipelines.

Syllabus

Introduction to Amazon Bedrock

Discover Amazon Bedrock and its role in generative AI. Explore foundational models, AWS integrations, and real-world applications to kickstart your journey in building AI-driven solutions.

Using Bedrock in Application Development

Learn how to use Amazon Bedrock in applications. Explore foundational models, parameter tuning, and hands-on testing with Python to optimize AI outputs for real-world tasks.

Building GenAI Applications with Bedrock and Python

Implement embedding models with Amazon Bedrock. Learn to generate, visualize, and use embeddings for Retrieval-Augmented Generation (RAG) systems and build smarter AI applications.

Project: Intelligent Document Querying System

Build an intelligent document querying system with Amazon Bedrock, S3, and Aurora PostgreSQL. Apply generative AI, secure pipelines, and RAG techniques to create a real-world AI solution.