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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
      I

      IBM

      Introduction to Software Engineering

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Engineering, Software Design, Full-Stack Web Development, Web Development, Software Design Patterns, Unified Modeling Language, Software Development, Application Deployment, Programming Principles, Web Applications, Front-End Web Development, Back-End Web Development, Software Documentation, Agile Software Development, Software Testing, Python Programming, Scripting Languages, Object Oriented Programming (OOP)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Architecture

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Distributed Computing, Operating Systems, Performance Tuning, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Advanced · Course · 3 - 6 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Programming with a Purpose

      Skills you'll gain: Java Programming, Computer Programming, Programming Principles, Java, Object Oriented Programming (OOP), Performance Testing, Algorithms, Computer Science, Data Structures, Computational Thinking, Animations, Debugging, Simulations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Keras (Neural Network Library), Supervised Learning, Applied Machine Learning, Generative AI, Deep Learning, Natural Language Processing, Reinforcement Learning, Scikit Learn (Machine Learning Library), Regression Analysis, Generative AI Agents, Artificial Neural Networks, Machine Learning Algorithms, ChatGPT, Machine Learning, Python Programming, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Introduction to Computer Science and Programming

      Skills you'll gain: Debugging, Computer Science, Computer Systems, Arithmetic, Computer Networking, Web Applications, Cybersecurity, Computer Graphics, Visualization (Computer Graphics), Computer Programming, Development Environment, Web Servers, Data Management, Servers, Maintainability, Computational Thinking, Mathematical Theory & Analysis, Javascript, General Mathematics, Problem Solving

      Build toward a degree

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Systems Engineering

      Skills you'll gain: Scope Management, Model Based Systems Engineering, Systems Engineering, Project Risk Management, Design Reviews, Risk Management, Cost Management, Contract Management, Requirements Management, Project Management, Test Engineering, Program Management, Engineering Management, Root Cause Analysis, Functional Design, Product Lifecycle Management, Change Management, Product Requirements, Systems Architecture, Requirements Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      121 reviews

      Beginner · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google

      Google IT Support

      Skills you'll gain: Package and Software Management, Systems Administration, Computer Networking, IT Infrastructure, OSI Models, Desktop Support, Information Systems Security, Network Troubleshooting, Technical Support, Routing Protocols, Computer Hardware, Network Security, Cybersecurity, Microsoft Windows, Network Administration, Lightweight Directory Access Protocols, File Systems, Interviewing Skills, Applicant Tracking Systems, Resilience

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      205K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, GitHub, Flask (Web Framework), Bash (Scripting Language), Git (Version Control System), Software Engineering, Version Control, Shell Script, Web Applications, Linux, Software Design, Full-Stack Web Development, Web Development, Unit Testing, Software Design Patterns, Jupyter, Web Scraping, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, SQL, IBM Cognos Analytics, Dashboard, Data Visualization, Apache Spark, Apache Hadoop, Linux Commands, Database Administration, Web Scraping, Data Pipelines, Database Design, Extract, Transform, Load, Interviewing Skills, Generative AI, Jupyter, Python Programming, Data Science, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Bits and Bytes of Computer Networking

      Skills you'll gain: Computer Networking, OSI Models, Network Troubleshooting, Routing Protocols, Network Administration, General Networking, TCP/IP, Network Architecture, Network Routing, Networking Hardware, Network Protocols, Virtual Private Networks (VPN), Network Infrastructure, Local Area Networks, Dynamic Host Configuration Protocol (DHCP), Wide Area Networks, Wireless Networks, Network Security, Network Model, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      52K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Foundations

      Skills you'll gain: SQL, Web Scraping, Extract, Transform, Load, Database Design, MySQL, Relational Databases, Database Systems, Data Transformation, Big Data, IBM DB2, Databases, Data Architecture, Database Management, Data Pipelines, Data Storage Technologies, Query Languages, Jupyter, PostgreSQL, Data Governance, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Generative AI, Data Wrangling, Large Language Modeling, Unsupervised Learning, Exploratory Data Analysis, Flask (Web Framework), Keras (Neural Network Library), Supervised Learning, Generative AI Agents, Data Manipulation, Applied Machine Learning, Web Applications, Data Import/Export, PyTorch (Machine Learning Library), Deep Learning, Data Transformation, Predictive Modeling, Data Analysis, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      90K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Computer Engineering learners also search

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    1234…651

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

    • Introduction to Software Engineering: IBM
    • Computer Architecture: Princeton University
    • Computer Science: Programming with a Purpose: Princeton University
    • IBM AI Engineering: IBM
    • Introduction to Computer Science and Programming: University of London
    • Introduction to Systems Engineering: University of Colorado Boulder
    • Google IT Support: Google
    • Applied Software Engineering Fundamentals: IBM
    • IBM Data Engineering: IBM
    • The Bits and Bytes of Computer Networking: Google

    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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