Build, Train, and Deploy a Machine Learning Model|My essay solution
Posted: February 27th, 2023
1. Go to Hands-On Tutorials for AWS.
2. Select: Cloud Level: 100 and Content-Type: Hands-on from the lefthand side menu.
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3. Go through these hands-on tutorials:
-Build, Train, and Deploy a Machine Learning Model
and an explanation what you did in a 1-page document.
-Deploy a Multi-Model Endpoint to a Real-Time Inference – Provide proof (screenshots of the last page) and an explanation of what you did in a 1-page document.
-Build a Basic Web Application- Provide proof (screenshots of the last page) and an explanation of what you did in a 2-page document.
SOLUTION
- Build, Train, and Deploy a Machine Learning Model: This tutorial covers the basics of creating, training, and deploying a machine learning model using Amazon SageMaker. The tutorial involves creating an Amazon SageMaker notebook instance, uploading a dataset, and then training a machine learning model using that dataset. Once the model is trained, it is deployed to an endpoint where it can be used for real-time inference. The tutorial covers key concepts such as Amazon SageMaker, Jupyter notebooks, machine learning algorithms, and model deployment.
- Deploy a Multi-Model Endpoint to a Real-Time Inference:
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