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    • Compilers

    Compilers Courses Online

    Study compiler design for translating high-level programming languages into machine code. Learn about lexical analysis, parsing, and code optimization.

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    Explore the Compilers Course Catalog

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      GPU Programming

      Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, C and C++, Scalability, Deep Learning, Software Development, Machine Learning Methods, Performance Tuning, Linear Algebra, Distributed Computing, System Programming, Computer Graphics, Computer Hardware, Computer Vision, Numerical Analysis, Computer Architecture, OS Process Management, Data Structures, Performance Testing

      Build toward a degree

      2.7
      Rating, 2.7 out of 5 stars
      ·
      149 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arm

      Arm Cortex-M Architecture and Software Development

      Skills you'll gain: Embedded Software, Performance Tuning, System Programming, Software Development Tools, Embedded Systems, Microarchitecture, Software Development, Real-Time Operating Systems, Development Environment, Hardware Architecture, Debugging, Program Development, Application Security, Build Tools, Computer Architecture, C (Programming Language), System Configuration, Application Development, Security Engineering, C++ (Programming Language)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      186 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      C Programming with Linux

      Skills you'll gain: Command-Line Interface, C (Programming Language), Linux Commands, Computer Programming Tools, Embedded Systems, Embedded Software, Programming Principles, Computer Engineering, Linux Servers, Linux, File Systems, System Programming, Build Tools, Data Structures, Unix, Program Development, Development Environment, Algorithms, Computer Architecture, Software Documentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      398 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

      Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      700 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Concurrent Programming with GPUs

      Skills you'll gain: C and C++, System Programming, Computer Hardware, Computer Architecture, Software Development, Computer Programming, Algorithms, Python Programming, Development Environment, Debugging

      2.5
      Rating, 2.5 out of 5 stars
      ·
      110 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Washington

      Programming Languages, Part A

      Skills you'll gain: Software Installation, Programming Principles, Other Programming Languages, Functional Design, Ruby (Programming Language), Software Design Patterns, Computational Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Object-Oriented Data Structures in C++

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Development Environment, Engineering Software, Computer Programming, Software Engineering, Data Structures, Debugging, Program Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Linux System Programming and Introduction to Buildroot

      Skills you'll gain: Embedded Systems, System Programming, Linux, Operating Systems, File Systems, Shell Script, Debugging, OS Process Management, Build Tools, C and C++, Cross Platform Development

      4.3
      Rating, 4.3 out of 5 stars
      ·
      132 reviews

      Advanced · Course · 1 - 4 Weeks

    • A

      Arm

      Introduction to Microprocessors

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Hardware, Computer Systems, System Programming, Embedded Systems, Data Storage, Computer Programming, C (Programming Language)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      46 reviews

      Beginner · Course · 1 - 3 Months

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

      Skills you'll gain: Computer Science, Computer Engineering, Computer Architecture, Computer Programming, System Software, Virtual Machines, Operating Systems, Software Architecture, Algorithms, Software Design, Program Development, Object Oriented Programming (OOP), Data Structures, System Implementation, Computer Graphics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      525 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Build LLM Apps with LangChain.js

      Skills you'll gain: JavaScript Frameworks, Large Language Modeling, Prompt Engineering, Javascript, Web Applications, Web Development Tools, Generative AI

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Intermediate · Project · Less Than 2 Hours

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Programming Languages Ⅰ

      Skills you'll gain: Scala Programming, Programming Principles, Theoretical Computer Science, Other Programming Languages, Computer Programming, Functional Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17 reviews

      Mixed · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular compilers courses

    • GPU Programming: Johns Hopkins University
    • Arm Cortex-M Architecture and Software Development: Arm
    • C Programming with Linux: Dartmouth College
    • Computer Science: Algorithms, Theory, and Machines: Princeton University
    • Introduction to Concurrent Programming with GPUs: Johns Hopkins University
    • Programming Languages, Part A: University of Washington
    • Object-Oriented Data Structures in C++: University of Illinois Urbana-Champaign
    • Linux System Programming and Introduction to Buildroot: University of Colorado Boulder
    • Introduction to Microprocessors: Arm
    • Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course): Hebrew University of Jerusalem

    Skills you can learn in Software Development

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    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Compilers

    Compilers are programs that convert high-level, human-readable source code written in a programming language such as C++ into machine-readable object code that can be executed by a computer. In the process of compiling, the source code is checked for syntax errors, improper variable and function calls, linker errors, and other common debugging issues, which can then be identified and fixed before compiling or “building” again. Understanding how compilers work and when to compile a program is an important fundamental skill for software development.

    C programming and the use of other compiled languages requires a different process compared to interpreted languages such as Python or JavaScript, which read, translate, and execute code line by line. Interpreted languages offer greater speed and flexibility in the software development process, since programmers don’t have to compile the entire source code every time before testing. However, because compiled languages deliver native machine code that doesn’t have to be translated at run time, these programs typically offer faster execution.‎

    A background in working with compiled programming languages such as C++ is essential for pursuing a career in software development. Interpreted languages that don’t rely on compilers such as Python and Ruby are becoming more popular, especially with the advent of “just-in-time” compilation techniques that can improve their execution speed. However, tried-and-true compiled languages remain essential for many applications due to their faster runtimes and more reliable debugging processes.

    It’s no surprise that software developers are in demand these days, and working in this field means a wide range of exciting and high-paying work opportunities. According to the Bureau of Labor Statistics, software developers earned a median annual salary of $107,510 in 2019, and these jobs are projected to grow by 22% between 2019 and 2029 - much faster than the national average for all occupations.‎

    Yes! Coursera offers an incredible variety of learning opportunities in computer science, including courses as well as Specializations in C programming and other languages that rely on compilers. You can learn from top-ranked schools like Duke University, the University of Illinois at Urbana-Champaign, and University of California Santa Cruz while paying a significantly lower tuition than on-campus students. And, because you can view and complete course materials on a flexible schedule, learning about compilers through Coursera can be a great fit for students as well as mid-career professionals looking to build new skills in computer programming.‎

    People who work as a compiler or with compilers are most successful when they are detail-oriented and have good problem-solving skills. They also have good computer skills, which can include proficiency in generating code, using programming languages like C++ and Java, and using operating systems like Linux and Windows. People best suited for roles using compilers work well in both a team environment and independently, have strong analytical skills, and possess a strong aptitude for learning and innovating.‎

    It is possible to begin a career path using compilers with a high school diploma or GED and start out with a role as a software build engineer, for example. People who use compilers usually have a bachelor's degree in computer science, information technology, engineering, however, and take on roles like associate software developer, software development engineer, or compiler engineer. Those who want to advance to positions that require more responsibility, such as a senior software engineer, will likely require a master's degree.‎

    The types of places that hire people with a background in compilers are varied and include aerospace and defense companies like Northrop Grumman, technology companies like Intel and Apple, computer hardware companies like IBM, and national security organizations like Peraton. Places that hire software programmers and engineers are where you'll find people with a background in compilers. You'll also find these professionals working for places like Amazon and GitHub in their development departments.‎

    Topics related to compilers that you can study and enhance your job skills include programming in Python, Objective-C, Swift, JavaScript, and the many additional languages used to create compilers. You can also study version control systems like subversion or git, text editors like vim and emacs, or topics in web systems development and web application development. Additional related topics that you can study include Amazon Web Services (AWS), Scrum, Azure, and agile methodologies and tools.‎

    Online Compilers courses offer a convenient and flexible way to enhance your knowledge or learn new Compilers skills. Choose from a wide range of Compilers courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Compilers, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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