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    • Computer Architecture

    Computer Architecture Courses Online

    Study computer architecture for designing and optimizing computer systems. Learn about processors, memory, and input/output devices.

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    Explore the Computer Architecture Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Interaction Design

      Skills you'll gain: Design Research, Interaction Design, User Experience Design, Statistical Analysis, Usability, Ideation, User Research, Graphic and Visual Design, User Interface (UI) Design, Experimentation, Prototyping, Human Centered Design, A/B Testing, Usability Testing, User Centered Design, Mockups, Human Computer Interaction, Human Factors, Collaborative Software, Telecommuting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google IT Automation with Python

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), Configuration Management, Professional Networking, CI/CD, Cloud Computing, Technical Communication, Docker (Software), Unit Testing, Containerization, Web Services, Interviewing Skills, Python Programming, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      48K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Cybersecurity Analyst

      Skills you'll gain: Cyber Threat Hunting, Incident Response, IT Service Management, Identity and Access Management, Cloud Computing, Information Technology Infrastructure Library, Endpoint Security, Malware Protection, Penetration Testing, Linux, Computer Security Incident Management, Database Management, Network Security, Networking Hardware, TCP/IP, Cybersecurity, Intrusion Detection and Prevention, Cyber Threat Intelligence, Interviewing Skills, Cyber Security Assessment

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      26K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Business

      Skills you'll gain: Microsoft Excel, Dashboard, Excel Formulas, Spreadsheet Software, Data Visualization, Excel Macros, Data Validation, Data Analysis Expressions (DAX), Data Cleansing, Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Workflow Management, Finance, Data Management, Business Intelligence Software, Consolidation, Data Integrity, Data Entry

      4.9
      Rating, 4.9 out of 5 stars
      ·
      62K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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
      ·
      214 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Linear Algebra, Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI and LLMs: Architecture and Data Preparation

      Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Text Mining, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Jupyter, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      199 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Computer Networks and Network Security

      Skills you'll gain: Networking Hardware, TCP/IP, Network Security, Network Protocols, Endpoint Detection and Response, Network Routing, Cybersecurity, Local Area Networks, Dynamic Host Configuration Protocol (DHCP), Firewall, General Networking, Information Systems Security, Intrusion Detection and Prevention, Endpoint Security, Network Infrastructure, Network Planning And Design, Wireless Networks, Security Information and Event Management (SIEM), Network Analysis, Data Loss Prevention

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Meta

      Meta Full-Stack Developer

      Skills you'll gain: Jest (JavaScript Testing Framework), Django (Web Framework), Version Control, Restful API, Responsive Web Design, Unix Commands, HTML and CSS, Git (Version Control System), GitHub, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), React.js, Mobile Development, SQL, Database Design, Unit Testing, Web Development Tools, Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python for Everybody

      Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Web Services, Restful API, Data Modeling, Programming Principles, Application Programming Interface (API), Data Structures, Data Collection, Data Visualization Software, Data Manipulation, Computer Programming, Python Programming, Scripting Languages, Data Import/Export

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      277K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Data Science, GitHub, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      113K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of Cybersecurity

      Skills you'll gain: Cybersecurity, Security Controls, Cyber Attacks, Security Management, Cyber Security Strategy, Incident Response, Cyber Risk, Security Information and Event Management (SIEM), Information Assurance, Data Ethics, Network Analysis, Ethical Standards And Conduct

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 4 Weeks

    Computer Architecture learners also search

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    1…456…527

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

    • Interaction Design: University of California San Diego
    • Google IT Automation with Python: Google
    • IBM Cybersecurity Analyst: IBM
    • Excel Skills for Business: Macquarie University
    • First Principles of Computer Vision: Columbia University
    • Deep Learning: DeepLearning.AI
    • Generative AI and LLMs: Architecture and Data Preparation: IBM
    • Computer Networks and Network Security: IBM
    • Meta Full-Stack Developer: Meta
    • Python for Everybody: University of Michigan

    Frequently Asked Questions about Computer Architecture

    Computer architecture refers to the design and organization of computer systems, including the structure of computer hardware and the interaction between various hardware components. It involves understanding the principles and techniques behind the design, construction, and operation of computer systems, such as processors, memory systems, input/output devices, and networking components. Computer architecture plays a crucial role in determining the performance, efficiency, and functionality of computer systems.‎

    To excel in computer architecture, you need to develop the following skills:

    • Digital Logic Design: Understanding of Boolean algebra, logic gates, and digital circuit design.
    • Assembly Language Programming: Proficiency in programming in assembly language to understand the interaction between software and hardware.
    • Computer Organization: Knowledge of the organization and structure of computer systems, including the CPU, memory hierarchy, and I/O subsystems.
    • Microarchitecture: Familiarity with the internal design and implementation of processors, including instruction pipelining, caching, and superscalar execution.
    • Computer Networking: Understanding of networking protocols, data transmission, and network architectures.
    • Operating Systems: Knowledge of operating system principles and how they interact with computer hardware.
    • Performance Evaluation: Skills in measuring and evaluating the performance of computer systems using benchmarks and performance analysis tools.
    • Parallel Processing: Understanding of parallel processing concepts, including multicore processors, parallel algorithms, and parallel programming models.
    • Computer Security: Awareness of computer security principles, vulnerabilities, and techniques to protect computer systems.
    • Problem-Solving: Aptitude for analyzing complex problems in computer architecture, identifying performance bottlenecks, and proposing solutions.‎

    With computer architecture skills, you can pursue various job opportunities, including:

    • Computer Architect
    • Hardware Design Engineer
    • Microprocessor Engineer
    • Systems Engineer
    • Embedded Systems Engineer
    • Network Engineer
    • Performance Analyst
    • Computer Systems Analyst
    • Research Scientist
    • Academia and Research Positions in Computer Architecture

    These roles involve designing, optimizing, and evaluating computer systems, developing hardware components, analyzing system performance, and contributing to advancements in computer architecture and technology.‎

    Computer architecture is well-suited for individuals who possess the following qualities:

    • Analytical and Logical Thinking: Ability to analyze complex problems, break them down into smaller components, and design efficient solutions.
    • Strong Mathematical Foundation: Proficiency in mathematics, including Boolean algebra, logic, and algebraic manipulation.
    • Attention to Detail: Meticulousness in designing and testing computer hardware components, considering factors such as timing, power consumption, and reliability.
    • Curiosity and Continuous Learning: Eagerness to stay updated with the latest advancements in computer architecture, emerging technologies, and industry trends.
    • Problem-Solving Orientation: Aptitude for identifying system-level performance bottlenecks, proposing optimizations, and designing innovative solutions.
    • Collaboration Skills: Ability to work effectively in teams, collaborate with hardware engineers, software developers, and system architects to design and optimize computer systems.
    • Strong Work Ethic: Dedication, discipline, and a passion for understanding the inner workings of computer systems.
    • Adaptability: Willingness to adapt to changing technology landscapes, new hardware architectures, and emerging paradigms.‎

    Several topics are related to computer architecture that you can study to enhance your skills and knowledge, including:

    • Digital Logic Design
    • Computer Organization and Design
    • Processor Design and Microarchitecture
    • Memory Systems and Hierarchies
    • Input/Output Systems and Peripherals
    • Interconnection Networks
    • Parallel Processing and Multiprocessor Systems
    • Performance Analysis and Evaluation
    • Embedded Systems Design
    • Advanced Topics in Computer Architecture, such as quantum computing or neuromorphic computing

    Exploring these topics through online courses, academic programs, research papers, and practical projects will provide a comprehensive understanding of the concepts and techniques used in computer architecture, enabling you to contribute to advancements in computer system design and optimization.‎

    Online Computer Architecture courses offer a convenient and flexible way to enhance your knowledge or learn new Computer Architecture skills. Choose from a wide range of Computer Architecture courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Computer Architecture, 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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