# Automated Machine Learning Deployment on AWS Using Amazon SageMaker AI and Amazon EKS Page: https://stenobird.com/podcast/the-business-compass-llc-podcasts-7078188/automated-machine-learning-deployment-on-aws-using-amazon-sagemaker-ai-and-amazon-eks Text version: https://stenobird.com/podcast/the-business-compass-llc-podcasts-7078188/automated-machine-learning-deployment-on-aws-using-amazon-sagemaker-ai-and-amazon-eks.md Podcast: [The Business Compass LLC Podcasts](https://stenobird.com/podcast/the-business-compass-llc-podcasts-7078188) Published: 2026-07-22T04:33:44+00:00 Episode link: https://podcast.businesscompassllc.com/e/automated-machine-learning-deployment-on-aws-using-amazon-sagemaker-ai-and-amazon-eks/ Audio file: https://mcdn.podbean.com/mf/web/9mv2mk3ysrvjqhzi/ccf016d7-3d35-469f-8887-d0f24a40facd.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/the-business-compass-llc-podcasts-7078188/episodes/automated-machine-learning-deployment-on-aws-using-amazon-sagemaker-ai-and-amazon-eks Duration seconds: 1731 ## Resource If you’ve ever spent weeks manually moving a machine learning model from a notebook into production, you already know how painful that process can be. Things break, environments don’t match, and scaling becomes a full-time job on its own. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/the-business-compass-llc-podcasts-7078188/episodes/automated-machine-learning-deployment-on-aws-using-amazon-sagemaker-ai-and-amazon-eks/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/the-business-compass-llc-podcasts-7078188/automated-machine-learning-deployment-on-aws-using-amazon-sagemaker-ai-and-amazon-eks.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.