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    • Computer Engineering

    Computer Engineering Courses Online

    Master computer engineering for developing computer systems and networks. Understand hardware and software integration, microprocessors, and embedded systems.

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    Explore the Computer Engineering Course Catalog

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to JavaScript Programming

      Skills you'll gain: Debugging, Data Validation, Javascript, Data Structures, Scripting, Program Development, Programming Principles, Web Development Tools, Object Oriented Programming (OOP), Development Environment, Maintainability

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      R Programming Essentials with Microsoft Tools

      Skills you'll gain: GitHub, Data Manipulation, Git (Version Control System), Software Documentation, Microsoft Development Tools, Microsoft Visual Studio, Microsoft Copilot, Data Import/Export, R Programming, Statistical Reporting, Statistical Analysis, Data Cleansing, Integrated Development Environments, Programming Principles, Debugging, Data Structures

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      JavaScript Data and Applications

      Skills you'll gain: Javascript, Application Programming Interface (API), JSON, Restful API, Web Applications, Software Testing, Performance Tuning, Unit Testing, Debugging, Maintainability

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Generative AI Course in Software Testing and Documentation

      Skills you'll gain: Software Documentation, Test Automation, Generative AI, Software Testing, Vulnerability Assessments, Test Case, Software Quality Assurance, Application Security, Secure Coding, Full-Stack Web Development, Artificial Intelligence, Prompt Engineering, Technical Documentation, Application Programming Interface (API)

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      Graduate Diploma in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of London

      Graduate Certificate in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced Data Applications and Integration

      Skills you'll gain:

      Beginner · Course

    • Status: New
      New
      G

      Google Cloud

      Usar o BigQuery ML para inferência

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文

      Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning Methods, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Automation

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      JavaScript Career Launch and Capstone

      Skills you'll gain:

      Intermediate · Course

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Statistical Analysis and Advanced Techniques

      Skills you'll gain:

      Beginner · Course

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      JavaScript Development Tools and React

      Skills you'll gain:

      Intermediate · Course

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    In summary, here are 10 of our most popular computer engineering courses

    • Introduction to JavaScript Programming: Microsoft
    • R Programming Essentials with Microsoft Tools: Microsoft
    • JavaScript Data and Applications: Microsoft
    • Generative AI Course in Software Testing and Documentation: Simplilearn
    • Graduate Diploma in Computer Science: University of London
    • Graduate Certificate in Computer Science: University of London
    • Advanced Data Applications and Integration: Microsoft
    • Usar o BigQuery ML para inferência: Google Cloud
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
    • JavaScript Career Launch and Capstone: Microsoft

    Frequently Asked Questions about Computer Engineering

    Computer engineering is a discipline that combines aspects of electrical engineering and computer science to design, develop, and integrate computer systems and hardware components. It involves the study of computer architecture, digital systems, software development, and the interface between hardware and software. Computer engineers work on the design and implementation of computer systems, microprocessors, embedded systems, networking infrastructure, and other digital devices.‎

    To excel in computer engineering, you need to develop the following skills:

    • Programming: Proficiency in programming languages such as C++, Java, or Python to develop software applications and firmware for hardware systems.
    • Digital Systems Design: Knowledge of digital logic, Boolean algebra, and circuit design to develop and optimize digital systems and hardware components.
    • Computer Architecture: Understanding of computer organization, CPU design, memory systems, and input/output devices.
    • Microprocessors and Embedded Systems: Familiarity with microprocessor architecture, embedded systems design, and programming microcontrollers.
    • Hardware Design: Skills in designing and prototyping digital circuits, printed circuit boards (PCBs), and system-level hardware components.
    • Software Development: Ability to develop software applications, algorithms, and drivers for hardware interfaces.
    • Networking: Knowledge of computer networks, protocols, and network infrastructure design.
    • Signal Processing: Understanding of signal processing techniques for audio, video, and image processing applications.
    • Problem-Solving: Aptitude for analyzing complex problems, troubleshooting hardware and software issues, and proposing effective solutions.
    • Collaboration and Communication: Effective communication and teamwork skills to collaborate with engineers from different disciplines, present ideas, and work in project teams.‎

    With computer engineering skills, you can pursue various job opportunities, including:

    • Computer Hardware Engineer
    • Software Engineer
    • Embedded Systems Engineer
    • Network Engineer
    • FPGA Engineer
    • System Architect
    • Robotics Engineer
    • ASIC Design Engineer
    • Computer Systems Analyst
    • Research Scientist

    These roles involve designing and developing computer hardware systems, software applications, embedded systems, network infrastructure, and contributing to advancements in computer technology.‎

    Computer engineering is well-suited for individuals who possess the following qualities:

    • Strong Analytical Skills: Ability to analyze complex problems, identify system requirements, and propose effective solutions.
    • Mathematical Aptitude: Proficiency in mathematics, including calculus, linear algebra, probability theory, and discrete mathematics.
    • Curiosity and Continuous Learning: Eagerness to stay updated with the latest advancements in computer technology, emerging technologies, and industry trends.
    • Attention to Detail: Meticulousness in designing and testing hardware systems, considering factors such as power consumption, reliability, and performance.
    • Problem-Solving Orientation: Aptitude for breaking down complex problems, applying engineering principles, and developing innovative solutions.
    • Collaboration Skills: Ability to work effectively in teams, collaborate with engineers from different disciplines, and contribute to multidisciplinary projects.
    • Strong Work Ethic: Dedication, discipline, and a passion for designing and building computer systems.
    • Adaptability: Willingness to adapt to changing technology landscapes, new hardware architectures, and emerging paradigms.‎

    Several topics are related to computer engineering that you can study to enhance your skills and knowledge, including:

    • Digital Logic Design
    • Computer Organization and Architecture
    • Microprocessor Systems and Interfacing
    • Embedded Systems Design
    • Computer Networks and Communication
    • Operating Systems
    • VLSI Design and Testing
    • Computer Graphics and Visualization
    • Signal Processing and Multimedia Systems
    • Robotics and Automation

    Exploring these topics through online courses, academic programs, research projects, and practical applications will provide a comprehensive understanding of computer engineering concepts and techniques, enabling you to contribute to the design, development, and innovation of computer systems and technology.‎

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

    When looking to enhance your workforce's skills in Computer Engineering, 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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