Scala Programming

Module 1: Introduction to Scala

• Overview of Scala language and ecosystem
• Scala on the JVM: Interoperability with Java
• Scala use cases: Big Data, distributed systems, backend APIs
• Scala installation and sbt build tool
• Scala 2 vs. Scala 3 differences

Module 2: Scala Fundamentals

• Variables: val, var, and lazy val
• Data types and type inference
• Control flow: if/else, match expressions
• Functions: First-class and higher-order
• String interpolation and multiline strings

Module 3: Object-Oriented Scala

• Classes, objects, and companion objects
• Traits and mixins
• Abstract classes and polymorphism
• Case classes and case objects
• Sealed traits and ADTs

Module 4: Functional Programming in Scala

• Immutability and pure functions
• Higher-order functions: map, filter, reduce
• Currying and partial application
• Function composition
• Tail recursion optimisation

Module 5: Scala Collections

• Immutable vs. mutable collections
• List, Vector, Map, Set
• Collection transformations
• For comprehensions
• Custom collection operations

Module 6: Pattern Matching

• Basic pattern matching
• Matching on case classes
• Guard conditions in patterns
• Extractors and unapply
• Pattern matching in for comprehensions

Module 7: Type System

• Generics and type parameters
• Variance: Covariance and contravariance
• Type bounds: Upper and lower
• Implicit parameters and conversions
• Type classes pattern

Module 8: Scala with Akka

• Actor model with Akka
• Actor hierarchy and supervision
• Akka typed actors
• Akka streams for reactive processing
• Akka HTTP for REST APIs

Module 9: Scala with Apache Spark

• Spark RDD with Scala
• Spark DataFrame API
• Spark SQL queries in Scala
• Spark Streaming with Scala
• Scala for Spark ML pipelines

Module 10: Concurrency in Scala

• Futures and Promises
• ExecutionContext configuration
• Cats Effect for functional concurrency
• ZIO for effect management
• Parallel collections

Module 11: Scala Build and Testing

• sbt build configuration
• ScalaTest for unit testing
• Specs2 for BDD testing
• ScalaCheck for property-based testing
• CI/CD for Scala with GitHub Actions

Module 12: Real-Time Projects and Case Studies

• Scala REST API with Akka HTTP
• Big Data pipeline with Spark and Scala
• End-to-end Scala development project
• Certification and interview preparation

Experience in the Industry Gain knowledge from experts with hands-on Scala development experience in Big Data, distributed systems, and backend engineering.

Backgrounds at the Top Prominent corporations such as HCL, TCS, ThoughtWorks, and leading data engineering companies employ our Scala trainers.

Clear & Effective Teaching Excellent communication and real-world examples simplify complex functional programming, Akka, and Spark with Scala.

Hands-On Learning Focus Students apply skills by building real Scala applications using Akka, Spark, and functional programming patterns.

Up-to-Date Knowledge Trainers stay current with Scala 3, ZIO, Cats Effect, and latest Scala ecosystem developments in Big Data and backend engineering.