Become an AWS SageMaker Machine Learning Engineer in 30 Days

Our verdict: worth it — as long as the Development skills on the syllabus match what you actually want to learn. The regular price for Become an AWS SageMaker Machine Learning Engineer in 30 Days on Udemy is $149.99. With the coupon code on this page, that falls to $9.99 — a saving of $140.00, or 93% off the standard rate Spread across 43h of on-demand video, that works out to roughly $0.23 per hour of content — cheaper than a single chapter of most printed Development textbooks.

A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Prof. Ryan Ahmed walks you through build, Train, Test and Deploy Machine Learning Models in AWS, leverage ChatGPT and GPT-4 to Automate Coding Tasks, Perform Code Debugging, Write Documentation and Add New Features to your Code, and define and Perform Image and Text Labeling Jobs Using AWS SageMaker GroundTruth — skills meant to be used, not just watched. It has already been taken by 12,009 students and holds a 4.6-star average from verified reviews, which suggests the content holds up once learners actually apply it.

Check the prerequisites before you commit: Basic Python Programming Knowledge; Basic knowledge in AWS. Best suited to learners who already have footing in Development. Plan for roughly 43h of on-demand video at your own pace. Lessons are delivered in English.