Akka - from Beginner to Intermediate Training Course

In this instructor-led, live training in the UK, participants will learn the design principles behind Akka, including the Actor Model and Reactive Manifesto, as they build and deploy an asynchronous, message-driven application in Akka.

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

• Apply the "let it crash" model to build applications that self-heal and systems that never stop.
• Understand Actors, actor lifecycle and how to employ them to create proper, concurrent parallel systems.
• Build Reactive Architecture that is responsive, elastic, resilient, and message driven.
• Integrate remoting and clustering features with third party systems.
• Deploy the Akka toolkit in production systems, scaling it to multiple nodes and third party systems.
• Manage system behavior and horizontal distribution.
• Build systems that "react" to environmental changes.

This instructor-led, live training in the UK (onsite or remote) is aimed at experienced Akka developers who wish to scale out their applications to multiple nodes and 3rd party systems.

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

• Take advantage of Akka's advanced features to extend their existing Akka applications
• Develop and deploy complex, large-scale applications.
• Scale an existing application beyond a single JVM.

The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Scala programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.

Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.

Scala is a concise, object-oriented language with functional programming features, including currying, type inference, immutability, lazy evaluation, and pattern matching. Scala code runs on a JVM and was designed to address some of the shortcomings of Java.

In this instructor-led, live training participants will learn how to use Scala's advanced features, including its type system, to write better code using an object-functional approach.  

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

• Leverage Scala's type system to maximum benefit
• Handle exceptions functionally
• Create libraries and DSLs with Scala
• Use Scala's advanced features for pattern matching

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Scala is a concise, object-oriented language with functional programming features, including currying, type inference, immutability, lazy evaluation, and pattern matching.

In this instructor-led, live training participants will learn how to use Scala's advanced features to develop well-constructed software that is easy to write, read, test, and change. The focus of this training is on functional programming, using real-world case studies and discussion as a reference for lab exercises and activities.

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

• Implement advanced functional programming techniques
• Make sense of complex type signatures
• Understand code through types and substitution
• Handle exceptions functionally
• Create libraries and DSLs with Scala
• Use Scala's advanced features for pattern matching

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

The training aims to provide opportunities Scala language, learning the syntax of programming paradigms, and space applications.

This instructor-led, live training in the UK (online or onsite) is aimed at software engineers who wish to stream big data with Spark Streaming and Scala.

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

• Create Spark applications with the Scala programming language.
• Use Spark Streaming to process continuous streams of data.
• Process streams of real-time data with Spark Streaming.