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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: New
      New
      C

      Coursera

      User DNA: Crafting Personas & Journey Maps in Miro

      Skills you'll gain: User Experience Design, Persona (User Experience), User Experience, Design Research, User Research, User Centered Design, Usability, User Flows, Persona Development, Research, Qualitative Research, Design Software, Graphical Tools, Prioritization

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      .NET & .NET Core Mastery: Cross-Platform Development

      Skills you'll gain: Cloud Applications, Containerization, .NET Framework, Cross Platform Development, Application Deployment, Application Development, C# (Programming Language), Development Environment, Application Performance Management, Web Applications, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      Blueprint the Experience: User Flows in Miro

      Skills you'll gain: User Experience Design, User Flows, Wireframing, User Centered Design, User Interface and User Experience (UI/UX) Design, Mockups, Usability, Prototyping, Design Software

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      데이터 분석가를 위한 BigQuery

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera

      Test, Learn, Evolve: Usability Testing in Figma

      Skills you'll gain: Usability Testing, Usability, Figma (Design Software), User Experience Design, User Centered Design, UI/UX Research, User Research, Prototyping, Test Planning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      AI 时代安全性简介

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft R Programming for Everyone

      Skills you'll gain:

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 上创建生成式 AI 应用

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera

      Mapping the Mission: User Personas & Journey Design in Figma

      Skills you'll gain: Persona (User Experience), Figma (Design Software), User Research, User Experience Design, User Centered Design, UI/UX Strategy, User Flows, Collaborative Software, Customer Insights

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of London

      International Foundation Programme for Computer Science (IFP)

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • G

      Google Cloud

      Gemini for Network Engineers - 繁體中文

      Skills you'll gain: Generative AI, Google Cloud Platform, Network Engineering, Artificial Intelligence, Prompt Engineering, Cloud Infrastructure, Cloud Computing Architecture, Virtual Private Networks (VPN), Network Architecture

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®

      Skills you'll gain: User Story, Maintainability, Test Automation, Software Testing, Version Control, Test Driven Development (TDD), Git (Version Control System), Software Architecture, Continuous Integration, Software Design, Unit Testing, Acceptance Testing, Usability, Regression Testing, Software Design Patterns, Web Content Accessibility Guidelines, Agile Software Development, Quality Assurance, Angular, Unified Modeling Language

      Credit offered

      Mastertrack · 6 - 12 Months

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    1…601602603604

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

    • User DNA: Crafting Personas & Journey Maps in Miro: Coursera
    • .NET & .NET Core Mastery: Cross-Platform Development: Coursera Instructor Network
    • Blueprint the Experience: User Flows in Miro: Coursera
    • 데이터 분석가를 위한 BigQuery: Google Cloud
    • Test, Learn, Evolve: Usability Testing in Figma: Coursera
    • AI 时代安全性简介: Google Cloud
    • Microsoft R Programming for Everyone: Microsoft
    • 在 Google Cloud 上创建生成式 AI 应用: Google Cloud
    • Mapping the Mission: User Personas & Journey Design in Figma: Coursera
    • International Foundation Programme for Computer Science (IFP): University of London

    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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