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

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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

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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

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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

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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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تولید کننده: Udemy