Material for Angular 6 - UI UX Ivy League Instructor

Zero to Hero in Material for Angular. This course was written for Angular 6, the latest version.
Rating: 3.6 out of 5 (147 ratings)
12,962 students
Material for Angular 6 - UI UX Ivy League Instructor
Rating: 3.6 out of 5 (147 ratings)
12,962 students
Students will be able to rapidly build apps that are pixel perfect using Angular 6 and Material.
We build a weather app and provide you the code to do so on your own as well.
You can build an app that looks like Facebook, Snapchat or Twitter.


  • Some familiarity with Angular. If you have done any exercises in Angular, you know enough to do this course.
  • Either a Mac or PC. If you have Linux you can use the same code, but we do not go through Linux installations of Angular.


Angular is a great framework that with Angular CLI makes using Angular easy.  However, the only downside of using such a new framework is manually writing form controls.  Material Design allows us to build Angular apps quickly and effortlessly, similar to how bootstrap works with CSS.  

Course Overview

We will start first by scaffolding an Angular Material application, then customizing the layout and UI/UX.  Next, we will start exploring the Angular Material components starting with some navigation menu and icons.

The goal here is to show that its also possible to use Angular Material components  to build apps quickly.   Later in this section, we will use a more advanced menu system where Angular Material is essentially taking over the whole application layout, with a side menu component.

We are then going to introduce container components such as for example Tab Containers and Material Cards.  We will also show how to use Modals to edit some of data in the data table, for which we will use multiple different types of form components to build an editable form.

At the end of the course, we will show we can customize the look and feel of the Angular Material component suite by building our own custom theme.

What Will You be able to do at the End Of This Course?

You will be able to comfortably build an Angular 6 application using Angular Material and the Angular CLI. You will be able to take a basic app and turn it into a beautiful, UI and UX correct app. 

You will receive the code for a app, and will be taken step by step on how to build it!  

There is no other course that covers the course in such technical detail as quickly.  

  • Instruction on Angular, specifically Angular 6, just in case you forgot how it works (or never learned it)
  • A detailed introduction into Angular Material, its docs and its usage
  • A realistic app that uses many Angular Material components
  • An intro to RxJS observables
  • Using Material to build an amazing app.  

This course is for you if you want to practice Angular, want to see it in action or want to learn it with the help of a 100% practical project!

Who this course is for:
  • Beginning or Intermediate Angular programmers. If you already know Material and have already build enterprise level apps, you already know this material.
  • Anyone who has used Angular before. Material will help any Angular programmer understand Angular and build faster.
3 sections • 14 lectures • 2h 9m total length
  • Introduction
  • Basic Commands for Angular
  • Github Node
  • Intro to Angular 6
  • Architecture
  • Generate App, setup Angular
  • Waffle UI
  • UI and Interfaces
  • Angular Services and HttpClient
  • RxJS
  • Angular Material
  • Flex Layout
  • Material Toolbars
  • Material Style
  • Material Unit Tests

Data Science Engineer at Nextcore AI
Gopal Shangari
  • 3.9 Instructor Rating
  • 858 Reviews
  • 43,869 Students
  • 5 Courses

BA Degree from Computer Science and Neuroscience from Cornell University in Ithaca NY

MD from Medical College of Ohio (now University of Toledo College of Medicine)

Statistics Certificate from University of California San Francisco

Worked at UCSF as Data Science Programmer from 2008-2012

National Institute of Health (NIH) as Data Science Programmer 2013-2018

NIH as Machine Learning Instructor 2016-2018

Nextcore AI data contracting for NIH 2016-present