Explore the intersection of DevOps and Generative AI on AWS in this hands-on course. Learn to enhance existing applications with powerful AI features using Amazon Bedrock's large language models (LLMs). You'll gain practical experience in implementing customized text generation, mastering prompt engineering, and applying advanced techniques like fine-tuning and Retrieval Augmented Generation (RAG).



DevOps and AI on AWS: Upgrading Apps with Generative AI
This course is part of DevOps and AI on AWS Specialization



Instructors: Morgan Willis
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4 assignments
March 2025
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There are 2 modules in this course
This module introduces the TravelGuideAI application, a travel guide application that will be upgraded with generative AI features. It covers the course overview, source code repositories, and the tools and services required for developing generative AI applications, such as Amazon Bedrock, prompt engineering, and Amazon Q Developer.
What's included
10 videos5 readings2 assignments1 app item1 plugin
This module focuses on integrating generative AI features into the TravelGuideAI application using Amazon Bedrock. It covers branching strategies, upgrading the application, deploying the updated application, and exploring advanced topics like customizing Amazon Bedrock models, responsible AI, and the need for DevOps practices.
What's included
10 videos3 readings2 assignments1 app item1 discussion prompt1 plugin
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