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Description of  Amazon SageMaker by Jose Portilla

Published 4/2024 Created by Jose Portilla MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 28 Lectures ( 4h 24m ) | Size: 1.83 GB Learn how to leverage the power of AWS SageMaker for your Machine Learning and AI Projects on AWS! What you'll learn: Learn to set up and navigate the AWS SageMaker console for machine learning projects. Understand the fundamentals of AWS SageMaker, including domains and notebook instances. Identify how to utilize SageMaker Notebook Instances for machine learning development. Define the capabilities of the Amazon SageMaker Python SDK and its application in data processing. Comprehend the features of SageMaker Studio Classic and its role in machine learning workflows. Master the use of SageMaker Canvas for Auto ML, data import, wrangling, and inference. Discover how to effectively use SageMaker Ground Truth for data labeling projects. Apply comprehensive SageMaker knowledge in real-world scenarios through Capstone Projects. Requirements: AWS Console Access and Full Permissions to create AWS SageMaker Resources Description: Who this course is for: Python Developers and Machine Learning Practitioners looking to use AWS SageMaker for Machine Learning