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1.
Essential Tools and Knowledge Preparation
2.
Structure Overview
2.1
AWS Architecture
2.2
Internal Architecture of the Image
3.
Detailed Architecture of a Customized Project
3.1
Dockerfile
3.2
requirements.txt
3.3
nginx.conf, wsgi.py, and serve
3.4
train
3.5
predictor.py
3.6
ping_test.py and post_test.py
4.
Build Image Locally and Test
4.1
Prepare
4.2
Build Image and Test
5.
Creating Resources on AWS
5.1
Create and Push Image to ECR Repositories
5.2
Create S3 Bucket
5.3
Create policy and role
5.4
Creating a Lambda Function
5.4.1
Create Lambda Function: Training Job Creation
5.4.2
Creating a Lambda Function: Endpoint Creation
5.4.3
Creating a Lambda Function: Invoking Prediction to Endpoint
6.
Test Run
6.1
Testing Training Job Creation
6.2
Testing Endpoint Creation
6.3
Testing Invoke Prediction Function
7.
Bonus
8.
Clear Resources
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AWS Study Group - Blog
AWS Study Group - FB Group
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Last Updated
19-09-2024
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Deploying an AI Model with a Customized Image
> Test Run
Test Run
In this section, we will test whether the components we have created are functioning correctly.