LEARNING PATH: Real-World Apps with Angular 2 & Bootstrap 4

Course details

Angular 2 is a game changer in the field of web development and enables you to efficiently architect large-scale and maintainable software. It has everything from a powerful view engine to an exceptional data binding framework and a design that embraces modern web development. With Angular 2, the web application building process is made easier and more efficient. Quite often when building various web applications, you will face the need to build out beautiful and mobile responsive websites in a small time frame.

Bootstrap allows users to quickly get started developing professional-looking responsive web applications. With both joining forces, we burst into modern web development with the very best of development and design. Bootstrap 4 helps alleviate the pain by defining sophisticated and refined user inputs and web components ready for your use. Learn how to quickly get your projects up to speed with the worlds most popular front-end framework. If you're interested to become an ace at creating stunning Angular2 applications using Bootstrap, then go for this Learning Path.

Packts Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.

The highlights of this Learning Path are:

• Get to know the basics of the Bootstrap framework to integrate with Angular projects
• Write a web server that pre-renders Angular apps for performance and SEO
• Explore and understand the newly introduced components and principles within Bootstrap 4

Lets take a quick look at your learning journey. This Learning Path demonstrates how to write dynamic, feature-rich Angular 2 applications with Bootstrap's responsive layouts and end-to-end testing techniques. Youll set up your development environment with Angular 2 and ES6 with TypeScript. This Learning Path takes a component-centric approach, using them as the main point of discussion to help you learn the core concepts in Angular 2. You'll also get to grips with Bootstrap to create and design web applications that are elegantly styled with a responsive user interface. Youll learn about the advanced features of Angular 2 such as components, views, event handlers, directives, dependency injection, services, routing, and data binding using Bootstrap styling. You'll build a simple weather application where you'll learn the basic concepts of Angular 2 such as writing basic components, making API calls, and routing. Next you'll build a more complex Twitter app, which will be based on the knowledge you gained while building the weather application. It will show you how to handle more complex API calling scenarios, filter data using pipes, and integrate external components into the application.

Further, youll learn Bootstrap 4's new features and changes, but create larger projects with these components and frameworks. These projects include building out the structure and design of a social media platform, comprehensive login and registration forms, and finally a music library application. Each project will provide you with a chance to use some of the new Bootstrap 4 components in the greater context of the Bootstrap framework.

By the end of this Learning Path, youll be ready to start building quick and efficient applications with a stunning interface that takes advantage of all the new features on offer from both Angular 2 and Bootstrap

Meet Your Experts:

We have combined the best works of the following esteemed author to ensure that your learning journey is smooth:

• Saimadhu Polamuri is a data science educator and the founder of Data Aspirant, a Data Science portal for beginners. He has 3 years of experience in data mining and 5 years of experience in Python. He is also interested in big data technologies such as Hadoop, Pig, and Spark. He has a good command of the R programming language and Matlab. He has a rudimentary understanding of Cpp Computer vision library (opencv) and big data technologies.
• Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City.
• Eder Santana is a PhD candidate on Electrical and Computer Engineering. His thesis topic is on Deep and Recurrent neural networks. After working for 3 years with Kernel Machines (SVMs, Information Theoretic Learning, and so on), Eder moved to the field of deep learning 2.5 years ago, when he started learning Theano, Caffe, and other machine learning frameworks. Now, Eder contributes to Keras: Deep Learning Library for Python. Besides deep learning, he also likes data visualization and teaching machine learning, either on online forums or as a teacher assistant.