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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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Last Updated
19-09-2024

Team
Gia Hưng
Deploying an AI Model with a Customized Image >