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دسته بندی دوره ها

Deploy a Production Machine Learning model with AWS & React

سرفصل های دوره

Build a Scalable and Secure, Deep Learning Image Classifier with SageMaker, Next.js, Node.js, MongoDB & DigitalOcean


01 - Intro
  • 001 Course overview
  • 002 What were going to build
  • 003 Introduction

  • 02 - Setting up SageMaker
  • 001 Setting Up IAM Policies
  • 002 Setting Up SageMaker
  • 003 Launching our SageMaker notebook
  • external-links.txt

  • 03 - Quick Tips before getting our Data
  • 001 Cost optimazation and other Tips

  • 04 - Exploratory data analysis
  • 001 Get data from Kaggle Part 1
  • 002 Get Data from Kaggle Part 2
  • 003 Important
  • 004 Visualizing images
  • 005 Correction
  • 006 Resizing images(Theory)
  • 007 Computer Vision Part 1
  • 008 Computer Vision Part 2
  • 009 Resizing our images(Coding)
  • 010 Check the resized images
  • 011 Data Visualization
  • 012 Creating our DataFrame for Visualization
  • 013 Creating our Bar Graphs
  • 014 Making our Graphs nicer

  • 05 - Setting up our AWS training Job
  • 001 What are .lst Files
  • 002 Creating Pandas DataFrame for .lst files
  • 003 Creating our .lst files
  • 004 Upload images and .lst files to S3
  • 005 Correction and Verify Upload
  • 006 Setting up our Estimator object for training
  • 007 IMPORTANT, Correction for Max Runs.html
  • 008 Setting up Hyperparameter Tuning
  • 009 Setting up Hyperparameters ranges
  • 010 Correction
  • 011 Setting up our Training Job
  • 012 Starting our Training Job

  • 06 - Evaluating and Testing our Trained model
  • 001 Evaluating our Training Job
  • 002 Deploying our model locally
  • 003 Getting our First Inference
  • 004 Constructing our confusion matrix
  • 005 Recall, Precision, F1 Score
  • 006 Shutting down our Endpoint

  • 07 - Deploying our model Endpoint to Amazon API Gateway
  • 001 Creating IAM Policy for our lambda function
  • 002 Coding our Lambda function
  • 003 Creating Our API Gateway
  • 004 Adding Endpoint name to Lambda
  • 005 Image shape for Inference
  • 006 Testing Our Endpoint with Postman
  • 007 Setting up Lambda Concurrency

  • 08 - Creating our web application
  • 001 Source Code.html
  • 002 Setting up our MongoDB database
  • 003 Downloading source code from Github
  • 004 Launching our web application locally
  • 005 Set Axios URL to our Endpoint
  • 006 MERN app walkthrough Part 1
  • 007 Start your Endpoint
  • 008 MERN app walkthrough Part 2
  • external-links.txt

  • 09 - Scalability and Security
  • 001 AutoScaling for our Endpoint Part 1
  • 002 AutoScaling for our Endpoint Part 2
  • 003 Securing our Endpoint Part 1
  • 004 Securing our Endpoint Part 2
  • external-links.txt

  • 10 - Deploying our web application to DigitalOcean
  • 001 Creating our DigitalOcean account
  • 002 Setting Up our DigitalOcean server
  • 003 SSH-ing into our DigitalOcean droplet
  • 004 Installing Node.js and NPM to our droplet
  • 005 Creating our Frontend and Backend repositories
  • 006 Clone Repos from Github and Install Nginx
  • 007 Create env Files and Setting up MongoDB
  • 008 Starting our Backend
  • 009 Running our Frontend
  • 010 Changing IP addresses
  • 011 Testing on random images from the Internet
  • external-links.txt

  • 11 - Outro
  • 001 Delete Amazon SageMaker Endpoint
  • 002 Clean Up and Next Steps
  • 003 Final Step Delete Elastic File System.html
  • 004 Thank you.html
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    تاریخ انتشار: ۲۰ شهریور ۱۴۰۲
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