Category: Amazon Machine Learning

This post explores how prompt engineering—the art of effectively communicating with AI—can help educators guide their students in building powerful educational tools using PartyRock.

In this blog post, we demonstrate how public sector organizations can overcome the challenges that emerge when integrating Amazon Redshift and other AWS relational databases with Amazon Bedrock. You’ll learn how to utilize enterprise data to generate AI-powered analytical insights by using natural language queries through Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases. This custom solution enables seamless connectivity between your structured data sources and generative AI applications, eliminating the need for data duplication and significantly reducing development effort.

This blog post provides a comprehensive overview of the custom large language model (LLM) development lifecycle for public sector use, emphasizing scientific methodology and measurable outcomes.

Traditional cloud migration approaches followed the established 7 Rs: Rehost, Refactor or re-architect, Relocate, Repurchase, Replatform, Retain, and Retire. However, we now see the emergence of an 8th R, Reinvention, which is transforming government agencies into dynamic public value engines. Read this post to learn more.

Through the innovative use of Amazon Bedrock and other AWS services, Save the Children España created a transformative solution that addresses a critical social challenge. This web application not only simplifies access to social benefits for vulnerable families, but also empowers social workers with better tools to support their communities. Read this post to learn more.

PartyRock, an Amazon Bedrock playground from Amazon Web Services (AWS), makes creating artificial intelligence (AI) applications simple and engaging—even if you have never written a line of code. With just a few steps, you can build your own AI assistant to help with homework, share with friends, or spark new creative ideas. Read this post to learn more.

In this post, we walk through three solutions that allow AWS GovCloud (US) workloads to securely connect into Standard AWS Regions to perform inference with Amazon Bedrock.

In this post, we explore how a graph-based student assessment system powered by AWS services can bring automation, accuracy, and adaptability to the standards-alignment process. With this modern approach, EdTech platforms can deliver scalable, standards-compliant, and personalized learning experiences across K12 learning environments.

Netsmart, an industry-leading healthcare IT platform organization, serving the human services, post-acute care, payers, public sector, physical therapy, and rehabilitation communities, became the first designated Qualified Health Information Network (QHIN) built entirely on serverless, cloud-first technology in August 2025—and it did so with Amazon Web Services (AWS) technology.

Today, on National Child Health Day, AWS is proud to announce the recipients of the 2025 AWS Imagine Grant Children’s Health Innovation Award (CHIA). This year’s cohort recognizes ten leading healthcare, research, and humanitarian organizations who are using AWS to realize a common vision: creating a world where every child has the opportunity to thrive through innovative solutions that predict, prevent, and address health challenges.