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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

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - Español

      Skills you'll gain: Exploratory Data Analysis, Data Processing, Data Manipulation, Data Cleansing, Data Analysis Expressions (DAX), Big Data, Google Cloud Platform, Prompt Engineering, Artificial Intelligence, Generative AI, Query Languages, Debugging, SQL

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Encoder-Decoder Architecture - Deutsch

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Natural Language Processing, Artificial Neural Networks, Machine Learning Methods

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Indonesian

      Skills you'll gain: Generative AI, Information Privacy, Google Cloud Platform, Cloud Security, Application Security, Personally Identifiable Information, Data Ethics, Data Security, Artificial Intelligence, Safety and Security, Data Encryption Standard, Prompt Engineering

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Google Cloud Customer Care Fundamentals - Bahasa Indonesia

      Skills you'll gain: Product Support, Help Desk Support, Cloud Management, Technical Support, Service Level, Technical Communication, Cloud Services, Issue Tracking, Data Loss Prevention

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Cloud Architects - Português Brasileiro

      Skills you'll gain: Kubernetes, Google Cloud Platform, Infrastructure as Code (IaC), Cloud Management, Cloud Infrastructure, Generative AI Agents, Cloud Computing Architecture, Prompt Engineering, Command-Line Interface

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Hybrid and Multicloud - Español

      Skills you'll gain: Virtual Private Networks (VPN), Google Cloud Platform, Multi-Cloud, Hybrid Cloud Computing, Cloud Computing Architecture, General Networking, Network Routing, Wide Area Networks, Network Infrastructure, Network Security, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 繁體中文

      Skills you'll gain: Generative AI, Google Cloud Platform, Big Data, Customer Relationship Management, SQL, Business Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Gmail - 简体中文

      Skills you'll gain: Gmail, Google Workspace, Prompt Engineering, Generative AI, AI Personalization

      Beginner · Course · 1 - 4 Weeks

    • H

      Heriot-Watt University

      MSc Computer Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • N

      Northeastern University

      Master of Science in Engineering Management

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • G

      Google Cloud

      Modernizing Data Lakes & Data Warehouses with GCP - 한국어

      Skills you'll gain: Google Cloud Platform, Data Lakes, Data Warehousing, Cloud Engineering, Cloud Storage, Data Infrastructure, Cloud Solutions, Data Pipelines, Data Architecture, Big Data, Business Intelligence, SQL, Scalability

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Network Engineers - Deutsch

      Skills you'll gain: Google Cloud Platform, Generative AI, Prompt Engineering, Virtual Private Networks (VPN), Cloud Engineering, Network Engineering, Virtual Machines, General Networking, Network Architecture

      Beginner · Course · 1 - 4 Weeks

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

    • Boost Productivity with Gemini in BigQuery - Español: Google Cloud
    • Encoder-Decoder Architecture - Deutsch: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Indonesian: Google Cloud
    • Google Cloud Customer Care Fundamentals - Bahasa Indonesia: Google Cloud
    • Gemini for Cloud Architects - Português Brasileiro: Google Cloud
    • Networking in Google Cloud: Hybrid and Multicloud - Español: Google Cloud
    • Work with Gemini Models in BigQuery - 繁體中文: Google Cloud
    • Gemini in Gmail - 简体中文: Google Cloud
    • MSc Computer Science: Heriot-Watt University
    • Master of Science in Engineering Management: Northeastern University

    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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