Developing Generative AI Applications on AWS
Official partner
AWS
Course Description
In this advanced two-day course, software developers learn to build and customize AI solutions by using Amazon Bedrock programmatically. Through hands-on exercises and labs, participants will invoke foundation models through Amazon Bedrock APIs, implement Retrieval Augmented Generation (RAG) patterns with Amazon Bedrock Knowledge Bases, and develop AI agents with tool integration. The course focuses on the practical implementation of prompt engineering techniques, responsible AI practices with Amazon Bedrock Guardrails, open source framework integration, and architectural patterns for real-world business applications.
Course Summary
Module 1: Exploring Components of Generative AI Applications on AWS
Module 2: Programming with Amazon Bedrock
Module 3: Applying Prompt Engineering for Developers
Module 4: Using Amazon Bedrock APIs in Common Architectures
Module 5: Customizing Generative AI Responses with RAG
Module 6: Integrating Open Source Frameworks with Amazon Bedrock
Module 7: Evaluating Generative AI Application Components
Module 8: Implementing Responsible AI
Module 9: Using Tools and Agents in Generative AI Applications
Module 10: Developing Amazon Bedrock Agents
Prerequisites for this course
We recommend that attendees of this course have:
• Completed the Generative AI Essentials AWS instructor-led course
• Intermediate-level proficiency in Python
• Familiarity with AWS Cloud
Audience for this course
This course is intended for software developers.