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Computer Hardware Courses

Computer hardware courses can help you learn about computer architecture, circuit design, and system integration. You can build skills in troubleshooting hardware issues, assembling components, and optimizing performance for various applications. Many courses introduce tools like multimeters, oscilloscopes, and CAD software, that support designing and testing hardware systems.


Popular Computer Hardware Courses and Certifications


  • J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Applied Machine Learning, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Social Network Analysis, Simulations, Statistical Software

    Intermediate · Specialization · 3 - 6 Months

  • M

    Microsoft

    Computer Vision in Microsoft Azure

    Skills you'll gain: Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Microsoft Azure, AI literacy, Model Training, Applied Machine Learning, Data Capture, Model Deployment, Classification Algorithms, Application Development

    ★ 4.6 (132) · Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Master of Science in Computer Science

    Skills you'll gain: Prompt Engineering, New Product Development, Model Based Systems Engineering, Model Evaluation, Failure Analysis, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Strategic Decision-Making, Real-Time Operating Systems, Object Oriented Design, Project Schedules, Sampling (Statistics), Data Ethics, Sustainability Reporting, Database Design, Agentic systems, Data Visualization, Supervised Learning

    Degree · 1 - 4 Years

    Category: Job Ready
    Job Ready
  • P

    Packt

    Computer Programming for Absolute Beginners

    Skills you'll gain: Programming Principles, Debugging, Computer Programming, Application Design, Cloud Applications, Computer Science, Code Reusability, Maintainability, Computer Systems, Program Development, Computer Programming Tools, Object Oriented Programming (OOP), Software Development, Data Management, Functional Design, Package and Software Management

    Beginner · Course · 3 - 6 Months

  • U

    University of London

    Essential Mathematics for Computer Science

    Skills you'll gain: Computational Logic, Algorithms, Arithmetic, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Geometry, Statistics, General Mathematics, Graphing, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Problem Solving

    ★ 3.3 (7) · Beginner · Specialization · 3 - 6 Months

  • D

    Dartmouth College

    Master of Engineering in Computer Engineering

    Skills you'll gain: Natural Language Processing, Field-Programmable Gate Array (FPGA), Technical Communication, Embedded Systems, Digital Signal Processing, Embedded Software, Distributed Computing, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Image Analysis, Deep Learning, Machine Learning Methods, Engineering Design Process, Experimentation, Convolutional Neural Networks, Hardware Design, Text Mining, Student Support and Services, Computer Engineering, Systems Analysis

    Degree · 1 - 4 Years

    Category: Job Ready
    Job Ready
  • I

    Indian Institute of Technology Guwahati

    Elements of Computer Aided Manufacturing

    Skills you'll gain: Computer-Aided Design, Manufacturing Processes, Manufacturing and Production, Robotics, Machine Controls, Manufacturing Operations, Autodesk, Production Process, Simulation and Simulation Software, Automation, Process Engineering

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Eyes on AI - Computer Vision Engineering

    Skills you'll gain: Model Evaluation, Model Optimization, Transfer Learning, PyTorch (Machine Learning Library), Fine-tuning, Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Model Training, Image Analysis, Computer Vision, AI Workflows, Verification And Validation, Tensorflow, Dataflow, Image Quality, Application Deployment, Deep Learning, Process Optimization

    Intermediate · Professional Certificate · 3 - 6 Months

  • E

    Edureka

    Neural Networks and Computer Vision Foundations

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science

    Beginner · Course · 1 - 4 Weeks

  • M

    MathWorks

    Computer Vision for Engineering and Science

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Model Training, Deep Learning, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Transfer Learning, Anomaly Detection, Geospatial Information and Technology, Traffic Flow Optimization, Algorithms

    ★ 4.6 (97) · Intermediate · Specialization · 1 - 3 Months

  • E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming

    ★ 4.8 (164) · Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Programming Fundamentals

    Skills you'll gain: Programming Principles, Algorithms, C (Programming Language), Computer Programming, Program Development, Problem Solving, Solution Design, Computational Logic

    ★ 4.7 (7K) · Beginner · Course · 1 - 4 Weeks

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

  • Statistical Methods for Computer Science: Johns Hopkins University
  • Computer Vision in Microsoft Azure: Microsoft
  • Master of Science in Computer Science: University of Colorado Boulder
  • Computer Programming for Absolute Beginners: Packt
  • Essential Mathematics for Computer Science: University of London
  • Master of Engineering in Computer Engineering: Dartmouth College
  • Elements of Computer Aided Manufacturing: Indian Institute of Technology Guwahati
  • Eyes on AI - Computer Vision Engineering: Coursera
  • Neural Networks and Computer Vision Foundations: Edureka
  • Computer Vision for Engineering and Science: MathWorks

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