Apache Spark for .NET Developers Training Course

In this instructor-led, live training in Sweden, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises.

By the end of this training, participants will be able to:

• Learn how to use Spark with Python to analyze Big Data.
• Work on exercises that mimic real world cases.
• Use different tools and techniques for big data analysis using PySpark.

In this instructor-led, live training in Sweden, participants will learn about the technology offerings and implementation approaches for processing graph data. The aim is to identify real-world objects, their characteristics and relationships, then model these relationships and process them as data using a Graph Computing (also known as Graph Analytics) approach. We start with a broad overview and narrow in on specific tools as we step through a series of case studies, hands-on exercises and live deployments.

By the end of this training, participants will be able to:

• Understand how graph data is persisted and traversed.
• Select the best framework for a given task (from graph databases to batch processing frameworks.)
• Implement Hadoop, Spark, GraphX and Pregel to carry out graph computing across many machines in parallel.
• View real-world big data problems in terms of graphs, processes and traversals.

This course is intended for developers and data scientists who want to understand and implement artificial intelligence in their applications. Special focus is placed on data analytics, distributed AI, and natural language processing.

MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs.

It divides into two packages:

• spark.mllib contains the original API built on top of RDDs.

• spark.ml provides higher-level API built on top of DataFrames for constructing ML pipelines.

Audience

This course is directed at engineers and developers seeking to utilize a built in Machine Library for Apache Spark

This instructor-led, live training in Sweden (online or onsite) is aimed at data scientists and developers who wish to use ML.NET machine learning models to automatically derive projections from executed data analysis for enterprise applications.

By the end of this training, participants will be able to:

• Install ML.NET and integrate it into the application development environment.
• Understand the machine learning principles behind ML.NET tools and algorithms.
• Build and train machine learning models to perform predictions with the provided data smartly.
• Evaluate the performance of a machine learning model using the ML.NET metrics.
• Optimize the accuracy of the existing machine learning models based on the ML.NET framework.
• Apply the machine learning concepts of ML.NET to other data science applications.

This instructor-led, live training in Sweden (online or onsite) is aimed at web developers who wish to learn how to use Progressive Web Application (PWA) development features to create an app-like experience in a website using Entity Framework (EF) Core and Blazor.

By the end of this training, participants will be able to:

• Use the EF package to work with databases.
• Use Blazor components, services, dependency injection, layout, and routing.
• Create service workers to enable PWA features in an application.
• Utilize push notifications and other PWA features.

This instructor-led, live training in Sweden (online or onsite) is aimed at web developers who wish to use Blazor Web Assembly to build a web application.

By the end of this training, participants will be able to:

• Understand forms and authentication in Blazor WebAssembly.
• Create a Blazor WebAssembly project.
• Learn different ways to run your web application.

This instructor-led, live training in Sweden (online or onsite) is aimed at web developers who wish to use Blazor to create full stack C# web applications.

By the end of this training, participants will be able to:

• Develop web applications with C# and Blazor.
• Use C# code to call JavaScript APIs and libraries.
• Run client-side C# code and client logic directly in a browser or server.
• Deploy Blazor web applications with Azure.

This instructor-led, live training in Sweden (online or onsite) is aimed at developers who wish to use Microsoft Orleans to build distributed enterprise .NET applications.

By the end of this training, participants will be able to:

• Install and configure Microsoft Orleans.
• Understand the actor model framework and how its implemented in Orleans
• Build distributed applications without having to manage complex concurrency and other scaling patterns.

This instructor-led, live training in Sweden (online or onsite) is aimed at developers who wish to use .NET Core to create, build, test, debug and deploy optimized applications that can run on different systems.

By the end of this training, participants will be able to:

• Set up the development environment based on .NET Core to start developing applications.
• Utilize the ASP.NET Core framework and libraries to build new applications or optimize existing ones.
• Monitor and enhance the performance of applications using advanced .NET Core tools.
• Understand the principles behind .NET Core features and apply this knowledge to other business implementations.

.NET Core is an open-source framework for creating .NET applications on Windows, macOS and Linux.

In this instructor-led, live training, participants will learn the fundamentals of .Net Core as they step through the creation of a sample application that demonstrates .Net Core's unique qualities vs other frameworks.

By the end of this training, participants will be able to:

• Setup .Net Core together with the tooling and IDEs needed to start developing right away.
• Use .Net to build various types of software, including web applications, console applications, microservices and libraries.
• Understand .Net Core's components, including class libraries, packages, metapackages and frameworks.
• Build, debug and deploy a sample web application

Audience

• Developers

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

Note

• This course is based on .Net Core 2.x and is available for both Windows and Linux environments.
• To request a customized training for this course, please contact us to arrange.
• To learn more about .Net Core, please visit: https://github.com/dotnet/core

Audience

•  Developers

Format of the Course

•  Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

In this instructor-led, live training in Sweden, participants will learn how to use Entity Framework Core 2.0 to create an ASP.Net Core application.

By the end of this training, participants will be able to:

• Set up the necessary framework and tools for creating Entity Framework Core 2.0 MVC web applications.
• Perform database operations on MS SQL Server.
• Use a "code first" and "data first" approach to application development.
• Carry out migration & seeding operations.
• Understand advanced data modeling concepts.
• Create a sample ASP.Net Core application.

This instructor-led, live training in (online or onsite) equips participants with the essential skills needed to leverage the capabilities of C# 6.0 within the Visual Studio 2015/2017 environment.

By the end of this training, participants will be able to:

• Navigate and utilize the Integrated Development Environment (IDE) in Visual Studio 2015/2017.
• Implement basic C# functionalities such as Console.WriteLine, Console.ReadLine, and Hello C# World!.
• Understand the process of compiling and debugging C# code.
• Apply comments in C# for code documentation and readability.
• Explore the fundamentals of .NET 6.0, including CLR, GC, DLL, EXE, and technologies within .NET.
• Review the history of C# from version 1.0 to 6.0 and grasp C# fundamentals such as keywords, literals, operators, and statements.
• Work with numeric and boolean types, classes, objects, fields, properties, indexers, operators, methods, and more in C# 6.0.
• Explore .NET Class Library features, including collections, file handling, data streams, communication between systems, dates, serialization, and parallel programming.
• Access and manipulate data using ADO.NET, LINQ, ORM (Entity Framework), and data in Service-Oriented Architecture (SOA).
• Review applications that can be developed in C# and .NET Framework 6, such as Windows Presentation Foundation, ASP.NET MVC 2, and Silverlight.

This instructor-led, live trainingin in Sweden introduces advanced features of C#, examines its usage as both a desktop application programming language and a web programming language for solving real-world problems.

Programming techniques and principals are demonstrated and practiced through in-class, hands-on exercises and walk-throughs.