AWS Certified Generative AI Developer – Professional Exam Prep and Study Guide | Course Playlist - Amazon SageMaker Ground Truth Tutorial | End-to-End Image Labeling Job Tutorial (Full Walkthrough)

GitHub: https://github.com/knodax-labs-demo/aws-data-and-ml-labs/blob/main/15-exploring-image-labeling-with-mechanical-turk-ground-truth.md Learn how to set up your first Amazon SageMaker Ground Truth labeling job in this beginner-friendly, step-by-step hands-on tutorial. In this video, you will: Create and configure a SageMaker Domain Explore Ground Truth, including Labeling Jobs, Labeling Domains, and Labeling Workforces Upload images to Amazon S3 for labeling Configure input and output datasets Create IAM roles for secure access Review labeling task types and worker options Understand how Ground Truth manages labeling workflows This walkthrough is perfect for: ✔ Data scientists ✔ Machine learning beginners ✔ AI practitioners ✔ Anyone learning SageMaker or preparing for AWS certifications ⚠️ Important Note About Costs Amazon SageMaker and Ground Truth are not free. Charges may occur for domain setup, labeling jobs, S3 storage, and compute usage. If you want to avoid costs, feel free to watch the tutorial without running the steps in your own AWS account. 👉 If you found this helpful, remember to Like, Subscribe, and share with others learning AWS Machine Learning!