AWS Certified Machine Learning: Machine Learning in SageMaker
Amazon Web Services 2021
| Intermediate
- 12 Videos | 1h 27m 8s
- Includes Assessment
- Earns a Badge
Amazon SageMaker provides broad-set capabilities for machine learning (ML) as it helps to prepare, train, and quickly deploy ML models. Use this course to learn more about the basic capabilities of SageMaker and work with it to implement solutions to various machine learning problems. Explore features and functionalities of SageMaker through practical demos and discover how to implement hyperparameter tuning. This course will also help you explore algorithms in SageMaker, such as linear learner, XGBoost, object detection, and semantic segmentation. After completing this course, you'll be able to train and tune a range of algorithms in order to solve simple classification tasks for natural language processing (NLP) and computer vision.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursedescribe the features and capabilities of Amazon SageMakerwork with the basic features of Amazon SageMakerwork with common SageMaker Studio tasks, such as clone a git repository, upload files, and stop training jobsbuild machine learning (ML) solutions by selecting existing resources and launch them with a single click in SageMaker Studiooutline how to use Linear Learner and XGBoost (eXtreme Gradient Boosting) for classification and regression problems
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build and train an image classification model in SageMakerdescribe how object detection algorithms built on top of VGG and ResNet work to predict the objects present in the image and their confident scorerecognize the use of SageMaker’s semantic segmentation algorithm to predict the class of each pixel in an image and get shapes of objectsdescribe hyperparameter tuning jobs in SageMaker and name recommended practicescreate a SageMaker notebook to train and finetune an object detection algorithmsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview2m 9sUP NEXT
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2.Introducing Amazon SageMaker7m 5s
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3.Getting Started with SageMaker Studio5m 21s
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4.Working with Common Tasks in SageMaker Studio8m 48s
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5.Building ML Solution with SageMaker JumpStart8m 33s
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6.Linear Learner & XGBoost in SageMaker11m 14s
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7.Classifying Images with SageMaker17m 8s
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8.Object Detection with SageMaker5m 36s
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9.Semantic Segmentation with SageMaker5m 22s
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10.How to Perform Model Tuning with SageMaker7m 6s
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11.Performing Model Tuning and Training with SageMaker7m 46s
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12.Course Summary1m
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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