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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

    • U

      Universidad de los Andes

      Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®

      Skills you'll gain: User Story, Test Automation, Software Testing, Software Architecture, Unified Modeling Language, Version Control, Agile Project Management, Usability, Agile Software Development, Maintainability, Unit Testing, Git (Version Control System), System Testing, Acceptance Testing, Software Design, Web Content Accessibility Guidelines, Continuous Integration, Agile Methodology, Software Design Patterns, Test Planning

      Credit offered

      Mastertrack · 6 - 12 Months

    • G

      Google Cloud

      Gemini for Cloud Architects - 한국어

      Skills you'll gain: Kubernetes, Google Cloud Platform, Application Deployment, Cloud-Native Computing, Cloud Infrastructure, Generative AI Agents, Prompt Engineering, Unix Commands

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Metodologías ágiles de desarrollo de software Certificado MasterTrack®

      Skills you'll gain: Test Automation, Software Testing, User Story, Agile Project Management, Usability, Agile Software Development, Platform As A Service (PaaS), Infrastructure As A Service (IaaS), Cloud Applications, Unit Testing, Scalability, System Testing, Software As A Service, Backlogs, Continuous Integration, Android Jetpack, Application Security, Authorization (Computing), Software Architecture, Kotlin

      Credit offered

      Mastertrack · 6 - 12 Months

    • U

      Universidad de los Andes

      Maestría en Inteligencia Artificial

      Skills you'll gain: Real-Time Operating Systems, Supervised Learning, Unsupervised Learning, Cloud-Native Computing, Reinforcement Learning, Computer Vision, Natural Language Processing, MLOps (Machine Learning Operations), Containerization, Artificial Intelligence, Deep Learning, Linear Algebra, Generative AI, Dimensionality Reduction, Probability & Statistics, Microservices, Control Systems, Cloud Applications, Data Ethics, Machine Learning Methods

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Master of Science in Artificial Intelligence

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Linear Algebra, Dimensionality Reduction, Probability & Statistics, Data Ethics, Machine Learning Methods, Machine Learning, Natural Language Processing, Applied Machine Learning, Semantic Web, Classification And Regression Tree (CART), Machine Learning Algorithms, Probability Distribution, Statistical Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Reinforcement Learning, Ethical Standards And Conduct

      Credit offered

      Mastertrack · 6 - 12 Months

    • I

      IIT Guwahati

      Bachelor of Science in Data Science & AI

      Skills you'll gain: Package and Software Management, Linear Algebra, Data Structures, Data Warehousing, Database Management, Database Theory, Time Series Analysis and Forecasting, Writing, Algorithms, Java Programming, Object Oriented Programming (OOP), Spreadsheet Software, Data Visualization Software, Econometrics, R Programming, Text Mining, Statistical Machine Learning, Artificial Intelligence, C (Programming Language), Probability

      Earn a degree

      Degree · 1 - 4 Years

    • N

      Northeastern University

      Master of Science in Data Analytics Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      J

      Johns Hopkins University

      Honors Algebra 2: Linear and Quadratic Functions

      Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, General Mathematics, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Regression Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 上使用生成式 AI 进行网站现代化改造

      Skills you'll gain: Generative AI, AI Personalization, Web Content, Web Analytics and SEO, Prompt Engineering, Performance Tuning, Image Analysis, Google Cloud Platform, User Experience Design

      Beginner · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Data Ethics, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Data Pipelines, Linear Algebra, Ggplot2, Dimensionality Reduction, Student Services, Data Processing, Big Data, Agentic systems, Graphing, A/B Testing, Unstructured Data, Deep Learning, Bayesian Statistics, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      U

      Universidad de los Andes

      Fundamentos del uso de IA generativa

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, ChatGPT, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Creativity, Ethical Standards And Conduct, Content Creation

      Beginner · Course · 1 - 4 Weeks

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

    • Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®: Universidad de los Andes
    • Gemini for Cloud Architects - 한국어: Google Cloud
    • Metodologías ágiles de desarrollo de software Certificado MasterTrack®: Universidad de los Andes
    • Maestría en Inteligencia Artificial: Universidad de los Andes
    • Master of Science in Artificial Intelligence: University of Colorado Boulder
    • Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®: Universidad de los Andes
    • Bachelor of Science in Data Science & AI: IIT Guwahati
    • Master of Science in Data Analytics Engineering: Northeastern University
    • Honors Algebra 2: Linear and Quadratic Functions: Johns Hopkins University
    • 在 Google Cloud 上使用生成式 AI 进行网站现代化改造: Google Cloud

    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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