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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

    • I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Large Language Modeling, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Computing, Artificial Intelligence, Generative AI, Data Ethics, Cloud Storage, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure As A Service (IaaS), Big Data, Emerging Technologies, Applied Machine Learning, Data Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      100K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Embedding Sensors and Motors

      Skills you'll gain: Control Systems, Process Control, Embedded Systems, Machine Controls, Programmable Logic Controllers, Embedded Software, Electronic Systems, Automation Engineering, Hardware Design, Basic Electrical Systems, Electronic Hardware, Manufacturing Processes, Electrical Engineering, Electronics Engineering, Electronics, Manufacturing and Production, Electrical Systems, Electronic Components, Power Electronics, Three-Phase

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Generative AI, SQL, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Data Manipulation, Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • V

      Vanderbilt University

      Generative AI Leadership & Strategy

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Succession Planning, Productivity, Business Writing, Generative AI, Leadership, Meeting Facilitation, Organizational Leadership, Artificial Intelligence, Large Language Modeling, Business Leadership, Proposal Writing, Communication, Risk Management Framework, Creative Thinking, Human Resource Strategy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Power Electronics

      Skills you'll gain: Power Electronics, Control Systems, Semiconductors, Electronic Systems, Electrical Engineering, USB, Electrical Systems, Electronic Components, Electronics, Electrical Power, Electric Power Systems, Simulation and Simulation Software, Systems Analysis, Basic Electrical Systems, Mathematical Modeling, Systems Design, Graphical Tools, Engineering Analysis, Technical Design, Engineering Design Process

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Web Scraping, Relational Databases, Stored Procedure, Databases, Computer Programming Tools, Automation, Data Analysis Software, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Leeds

      Fundamental Skills in Engineering Design

      Skills you'll gain: Engineering Design Process, Engineering Management, Product Lifecycle Management, Product Design, Product Development, Design, New Product Development, Product Requirements, Conceptual Design, Creative Thinking, Safety Assurance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      175 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Columbia University

      First Principles of Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Dimensionality Reduction, 3D Modeling, Photography, Artificial Neural Networks, Virtual Reality, Medical Imaging, Visualization (Computer Graphics), Color Theory, Unsupervised Learning, Deep Learning, Graph Theory, Automation Engineering, Mathematical Modeling, Machine Learning Algorithms, Estimation, Electronic Components, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      212 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Introduction to Thermodynamics: Transferring Energy from Here to There

      Skills you'll gain: Mechanical Engineering, Thermal Management, HVAC, Engineering, Energy and Utilities, Physics, Engineering Analysis, Plant Operations and Management, Process Analysis, Environmental Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Introduction to Electronics

      Skills you'll gain: Electronic Components, Semiconductors, Electronics, Basic Electrical Systems, Electronics Engineering, Engineering Analysis, Schematic Diagrams

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Mixed · Course · 1 - 3 Months

    • S

      Scrimba

      AI Engineering

      Skills you'll gain: Prompt Engineering, Image Analysis, OpenAI, Cloud Applications, Generative AI, Application Deployment, API Gateway, Cloud Hosting, Generative AI Agents, ChatGPT, Cloud Security, User Interface (UI), Data Ethics, Application Programming Interface (API), Development Environment, Open Source Technology, Performance Testing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, JavaScript Frameworks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      163 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google

      Connect and Protect: Networks and Network Security

      Skills you'll gain: Network Security, Hardening, Network Protocols, Cloud Security, Network Architecture, Intrusion Detection and Prevention, TCP/IP, Vulnerability Assessments, Computer Networking, Cyber Attacks, Network Infrastructure, Firewall, Cloud Computing, Virtual Private Networks (VPN)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.2K reviews

      Beginner · Course · 1 - 4 Weeks

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    1…678…596

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

    • Key Technologies for Business: IBM
    • Embedding Sensors and Motors: University of Colorado Boulder
    • IBM Data Analyst: IBM
    • Generative AI Leadership & Strategy: Vanderbilt University
    • Power Electronics: University of Colorado Boulder
    • Data Science Fundamentals with Python and SQL: IBM
    • Fundamental Skills in Engineering Design: University of Leeds
    • First Principles of Computer Vision: Columbia University
    • Introduction to Thermodynamics: Transferring Energy from Here to There: University of Michigan
    • Introduction to Electronics: Georgia Institute of Technology

    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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