New for APN Partners: Ready-to-Use AI Patterns from AWS Builder Teams
AWS internal builder teams regularly create new assets and patterns to solve broad technical and business challenges. These are now being published and made available via Partner Central.
AWS is excited to announce a new benefit for members of the Amazon Partner Network. We're now making available to our partners a growing library of patterns, repositories, guidance, workshops, and more—built by our internal builder teams to solve specific, common customer challenges across a wide range of industries and use cases using AI.
Think of these as "fast start" packages. Each one lets you quickly stand up a working demo, then build a complete SOW around it to customize, deploy into production, and support long term. It's also a great way to bring proactive value to your clients—arriving with a working solution rather than a blank page.
We'll be publishing new patterns regularly to the Data & AI Knowledge Center on Partner Central, so check back often to see what's new.
Six new assets are available today—all published to AWS Samples for you to download and use right away:
- Agentic Predictive Maintenance (PdM) — anticipate equipment issues before they happen.
- AI-Powered Call Center Agent Training — train contact center agents using Amazon Bedrock and Amazon Connect.
- Agentic Migration: Scatter and Gather (Workshop) – Repeatable migration assessment offering.
- Agentic AI Tender & Proposal Response Generation — automate and accelerate responses to tenders and proposals.
- AI Assisted Image Labeling - Auto-Labeling with SAM, Grounding DINO & Amazon SageMaker
- Govern, Authorize, and Scale Enterprise AI Agents with Amazon Bedrock AgentCore - deliver a centralized control plane for enterprise AI agents
With more patterns in the pipeline, this library will keep growing.
Visit the Data & AI Knowledge Center on Partner Central today—and check back regularly to accelerate your next AI engagement.
Enjoyed reading this content? Let the author know!
Your likes, comments, shares, and saves help creators reach more builders.
Loading recommendations
Loading article