English | Size: 2.14 GB
Genre: eLearning
What you’ll learn
Create ASP .NET Core MVC application from scratch. You will learn through a project all the MVC concepts
You will learn how to create a Machine Learning Model (through a project)
Consume a Machine Learning model from an ASP .NET Core MVC application
Learn Material Design(Using Materializecss library)
Learn Dependency Injection
EntintyframeworkCore
Learn how to use ML .NET
At the end of this course you will be ready to work on any project of ASP .Net Core MVC. You will learn how create and use machine learning models for .NET applications and you will also get other skills which will be very useful to your career moving forward. These includes but not limited to designing and working with SQL Databases,Entity Framework Core, services(interfaces and repositories),dependency injection and many more.
There are many benefits of having the skills that will be offered in this course. Firstly, knowing how to use ASP .Net Core will help you to create enterprise applications that are cross platform(i.e can be deployed or hosted in any operating system(OS), not just Windows OS alone). This course will help you to easily create Machine Learning models in .NET environment using C# , using machine learning models created in .NET to .NET applications is very easy as compared to integrating models developed by other frameworks. In this course you will also learn how to work with SQL databases which is very essential for every software developer. Most businesses use SQL databases data for their systems.
The first thing we are going to do in this course is to learn how to use Materialize CSS so that we can be able to make the appearance of our application to be great. After this section we are going to create our first project of ASP .Net Core MVC. We are going to use object oriented programming practices to develop our web application. It is in this section where you are going to learn a lot about ASP .NET Core MVC. Then, we are going to move to the next section where we are going to create a Console Application for machine learning purposes. The end result of this section will be a machine learning model. In our last section we are going consume our machine learning model created in the previous section.
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