MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 29 lectures (2h 9m) | Size: 814.9 MB
Build, and Object detection app using TensorFlow built with Node, React, Docker, MongoDB, RedisDB, Websockets
What you’ll learn:
Architect app using a collection of technologies
Solve concurrency issues in a queue and file writing
Build a React App to render data from your database
Use Express NPM package for NodeJS and TypeScript
Communicate data between queue and websocket
Develop a service app with Docker and TensorFlow
Leverage your Javascript skills to build a complex web app
Write nothing but production-level code. No cutting corners!
Requirements
Basic knowledge of Javascript and Express is required
Knowledge of React is good
You must be familiar and comfortable with the command line
Description
Scalable, production-ready code? Its here!
How This Course Works
This will expose you to challenging problems and clever solutions when handling subjects like capture frames from webcams!
What Technology You’ll Use
Because we are building a full stack application, we will use a variety of technologies. On the frontend, we’ll use React and Next JS to present content to users. Each service is created using Node and Express. Data for each service is held in either a Mongo database. Finally, almost all of the code in this course is written with Typescript.
This is a scary list of technologies! Not familiar with some of these? No problem! The course is built assuming that you only know the basics of Javascript and Express. No other knowledge is needed – you will learn everything you need to know.
What You’ll Be Able to Do
By the time you complete this course, you will be able to:
Architect a multi-service application
Determine whether your app is a good fit for a select area of webcams to watch for objects
Organize and enhance the reusability of code in large projects
What You’ll Learn
An absolute incredible number of topics are covered in this course. Here is a partial list of what you’ll do:
Practice for capture frames of webcams
Write a custom implementation of an ordered queue
Optionally, run a server with endpoint with rooms and websocket alert listeners
Guarantee consistently structured responses from your different API’s
And much more!
Who this course is for
Javascript engineers looking to detect objects by webcamers
This course is *not* designed for sysadmins focused on infrastructure deployment
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