Fast Track to Scala Programming Essentials for OO / Java Developers

Dive into the world of Scala Programming Essentials to empower yourself with scalable, functional coding skills ideal for OO and Java developers seeking to excel in high-performance backend systems and AI-integrated applications.

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Essential Skills Gained

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Write scalable and expressive Scala code using object-oriented and functional programming paradigms.

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Implement reliable and concurrent applications using Akka and Scala Futures.

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Integrate Scala applications with databases seamlessly using Slick and the Play Framework.

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Apply advanced testing strategies to ensure high code quality and reliability in real-world projects.

Format

  • Instructor-led
  • 4 days with lectures and hands-on labs.

Audience

  • Java developers
  • Software developers
  • Data scientists
  • Machine learning experts

Description

Scala is a modern programming language known for its power, flexibility, and ability to support both object-oriented and functional styles of development. It is used by companies building everything from high-performance backend systems to data-intensive applications, and it is gaining traction in machine learning and AI workflows due to its strong type system, expressiveness, and integration with tools like Apache Spark. If you are looking to build reliable, scalable software or expand your programming toolkit with skills that apply to real-world systems, Scala is a smart choice. This expert-led course is designed for developers, engineers, and technical professionals who have some basic experience with OO languages, such as Java, and want to build practical Scala skills they can use right away. You will get hands-on with key concepts like higher-order functions, pattern matching, traits, mixins, for-comprehensions, and persistent data structures. You will apply what you learn by building projects such as functional web applications using the Play Framework, database-connected systems using Slick, and modular software using dependency injection and type classes. Each concept is introduced through clear explanations followed by hands-on labs, making sure you can use these skills in your own work. Throughout the course, you will also practice building reliable, concurrent applications using Akka and Scala Futures, and strengthen your code quality with testing strategies like property-based testing and test-driven development. You will even explore how generative AI tools like GPT can be integrated into your Scala programs to create smarter, more dynamic applications. About fifty percent of your time will be spent working through hands-on exercises, giving you the chance to explore ideas, get feedback, and leave the class ready to apply everything you learned.

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Upcoming Course Dates

August 4-7, 2025

10:00 AM - 6:00 PM

Virtual: Online - US/Eastern

Enroll

$2595

August 4-7, 2025

10:00 AM - 6:00 PM

Virtual: Online - US/Eastern

Enroll

$2595

October 20-23, 2025

10:00 AM - 6:00 PM

Virtual: Online - US/Eastern

Enroll

$2595

Course Outline

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Introduction to Scala

  1. Scala features and benefits

  2. Comparing Scala with Java and other OO languages

  3. Installing Scala and setting up the development environment

  4. Lab: Setting up Scala Environment & Exploring Basic Features; create a simple Scala project.

Object-Oriented Programming in Scala

  1. Classes and objects

  2. Traits, mixins, and inheritance

  3. Companion objects and factories

  4. Encapsulation and polymorphism

  5. Lab: Building a Simple OOP Application in Scala

Functional Programming Basics

  1. Pure functions and referential transparency

  2. Higher-order functions and currying

  3. Immutability and persistent data structures

  4. Pattern matching and recursion

  5. Lab: Implementing Functional Programming Concepts in Scala: Develop a small application that uses functional programming concepts such as higher-order functions and pattern matching.

Having Fun with Functional Data Structures

  1. Lists, sets, and maps in Scala

  2. Folding and reducing operations

  3. Stream processing and lazy evaluation

  4. For-comprehensions

  5. Lab: Create an application that uses Scala's functional data structures and common operations like map, filter, and reduce.

Building Web Applications in Functional Style

  1. Introduction to Play Framework

  2. Functional web routing and request handling

  3. JSON handling with Play-JSON

  4. Middleware and functional composition

  5. Lab: Developing a Functional Web Application with Play

Connecting to a Database

  1. Introduction to Slick library

  2. Database configuration and setup

  3. Querying and updating with Slick

  4. Transactions and error handling

  5. Lab: Integrating a Database with a Scala Application

Building Scalable and Extensible Components

  1. Modular architecture and design patterns

  2. Dependency injection with MacWire

  3. Type classes and type-level programming

  4. Implicit parameters and conversions

  5. Lab: Develop a modular and scalable Scala application using dependency injection, type classes, and other design patterns.

Concurrency Programming & Akka

  1. Introduction to Akka framework and Actor model

  2. Actor systems and message passing

  3. Futures and Promises

  4. Supervision and fault tolerance Lab: Create a concurrent application using the Akka framework, Actor model, and Scala's Futures and Promises.

Building Confidence with Testing

  1. Introduction to ScalaTest and ScalaCheck

  2. Unit testing and property-based testing

  3. Test-driven development in Scala

  4. Mocking and integration testing

  5. Lab: Write unit tests and property-based tests for a Scala application using ScalaTest and ScalaCheck.

Interoperability between Scala and Java

  1. Calling Java code from Scala

  2. Using Java libraries in Scala projects

  3. Converting Java collections to Scala collections

  4. Writing Scala code that can be called from Java

  5. Lab: Integrating Java and Scala in a Project

Using Generative AI and GPT Technologies in Scala Programming

  1. Overview of GPT and generative AI

  2. Integrating GPT with Scala applications

  3. Use cases and practical examples

  4. Lab: Implementing a GPT-Integrated Scala Application

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