Introduction to AWS SageMaker Studio

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Amazon SageMaker Studio contains all the tools required for AI/ML models development in one integrated visual interface.

AI/ML engineers can develop models, track hundreds of experiements, perform hyperparameters tuning in one place.

So what is AWS SageMaker?

Amazon SageMaker is a fully-managed machine learning workflow platform that provides services on data labeling, model building, training, tuning and deployment.

SageMaker allows data scientists and developers to build scalable AI/ML models easily and efficiently.

Models could be deployed in production at a much faster rate and with a fraction of the cost.

1. Build
SageMaker offers data labeling service
Prebuilt available notebooks with state of the art algorithms on AWS marketplace

2. Train
Train models using EC2 instances (on-demand and spot)
Manage environments for training
Hyperparameters optimization for model tuning

3. Deploy
Easily deploy and scale models
Auto-scaling with 75% savings

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#sagemaker #aws #machinelearning
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Very good! I really concentrated on every word you said, and was surprised at the strength of my concentration. This is after I took your Machine Learning Certification Exam course.

omarpasha
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Hi Ryan, may i know upgraded version of this course "AWS Machine Learning Certification Exam|2020 Complete Guide" for 2021

durgaprasadk
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You may need to change the AWS logo..the logo is using an old AWS logo.

anandkl