• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Computer Engineering

    Computer Engineering Courses Online

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

    Filter by

    Subject
    Required
     *
    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *
    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Earn a university-issued career credential in a flexible, interactive format.
    Graduate level learning within reach.
    Level
    Required
     *
    Duration
    Required
     *
    Skills
    Required
     *
    Subtitles
    Required
     *
    Educator
    Required
     *

    Explore the Computer Engineering Course Catalog

    • G

      Google Cloud

      Gemini in Google Sheets - 한국어

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Meet - 繁體中文

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Français

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Docs - 日本語版

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts-Português Brasileiro

      Beginner · Course · 1 - 4 Weeks

    • S

      SAE Institute México

      Desarrollo de videojuegos en Unity parte 2

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      P

      Packt

      Advanced Azure Architecture and Migration Strategies

      Skills you'll gain: Microsoft Azure, Event-Driven Programming, Application Programming Interface (API), Cloud Computing Architecture, Load Balancing, API Design, Network Routing, Application Deployment, Microservices, Solution Architecture, Software Architecture, Cloud Computing, Virtual Machines, Cloud Infrastructure, Network Architecture, Serverless Computing, Cloud Services, Service Oriented Architecture, Network Performance Management, Network Security

      Advanced · Course · 1 - 3 Months

    • Placeholder
      U

      Universidad de los Andes

      Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®

      Skills you'll gain: Angular, Computer Programming, Python Programming

      Credit offered

      Mastertrack · 6 - 12 Months

    • Placeholder
      D

      DeepLearning.AI

      (KK) Generative AI with Large Language Models

      Skills you'll gain: Generative AI, Scalability, Deep Learning, Artificial Intelligence, Artificial Neural Networks, Applied Machine Learning, Natural Language Processing, Business Solutions, Machine Learning, Performance Tuning, Application Deployment, Reinforcement Learning

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Earn a degree

      Degree · 1 - 4 Years

    • Placeholder
      P

      Packt

      Foundations of Linux

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      P

      Packt

      Certified Incident Handler (ECIH) v2

      Skills you'll gain: Network Security, Risk Management

      Intermediate · Specialization · 1 - 3 Months

    Computer Engineering learners also search

    Computer Science
    Data Engineering
    Computer Science Projects
    Advanced Computer Science
    Big Data
    Big Data Analytics
    Beginner Big Data
    Big Data Projects
    1…476477478…486

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

    • Gemini in Google Sheets - 한국어: Google Cloud
    • Gemini in Google Meet - 繁體中文: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - Français: Google Cloud
    • Gemini in Google Docs - 日本語版: Google Cloud
    • Gemini for Data Scientists and Analysts-Português Brasileiro: Google Cloud
    • Desarrollo de videojuegos en Unity parte 2: SAE Institute México
    • Advanced Azure Architecture and Migration Strategies: Packt
    • Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®: Universidad de los Andes
    • (KK) Generative AI with Large Language Models: DeepLearning.AI
    • Master of Science in Machine Learning and Data Science: Imperial College 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.

    Other topics to explore

    Placeholder
    Arts and Humanities
    338 courses
    Placeholder
    Business
    1095 courses
    Placeholder
    Computer Science
    668 courses
    Placeholder
    Data Science
    425 courses
    Placeholder
    Information Technology
    145 courses
    Placeholder
    Health
    471 courses
    Placeholder
    Math and Logic
    70 courses
    Placeholder
    Personal Development
    137 courses
    Placeholder
    Physical Science and Engineering
    413 courses
    Placeholder
    Social Sciences
    401 courses
    Placeholder
    Language Learning
    150 courses

    Coursera Footer

    Learn Key Technologies

    • Python
    • SQL
    • Microsoft Excel
    • Power BI
    • Tableau
    • R Programming
    • Git
    • Docker
    • AWS
    • TensorFlow

    Essential Skills

    • Data Analytics
    • Artificial Intelligence
    • Cybersecurity
    • Digital Marketing
    • Machine Learning
    • Statistical Analysis
    • Database Management
    • Web Development
    • Financial Modeling
    • Business Analysis

    Industry Solutions

    • Healthcare Analytics
    • Sales
    • Digital Transformation
    • Supply Chain
    • Marketing Analytics
    • HR Analytics
    • Social Media Marketing
    • Risk Management
    • Sustainability
    • E-commerce

    Career Paths

    • Data Scientist
    • Data Analyst
    • Machine Learning Engineer
    • Full Stack Developer
    • Project Manager
    • Product Manager
    • Data Engineer
    • Digital Marketing Specialist
    • Cybersecurity Analyst
    • Career Aptitude Test

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Manage Cookie Preferences
    Learn Anywhere
    Placeholder
    Placeholder
    Placeholder
    © 2025 Coursera Inc. All rights reserved.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder