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Computer Courses

Computer courses can help you learn programming languages like Python and Java, data structures, algorithms, and web development fundamentals. You can build skills in software design, debugging, and database management, along with understanding cybersecurity principles. Many courses introduce tools such as Git for version control, SQL for database queries, and frameworks like React for building user interfaces, demonstrating how these skills are applied in real-world projects.

Popular Computer Courses and Certifications


  • Status: New
    New
    Status: Free Trial
    Free Trial
    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

    Build toward a degree

    3.4
    Rating, 3.4 out of 5 stars
    ·
    9 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of London

    Graduate Certificate in Computer Science

    Skills you'll gain: Human Computer Interaction, Virtual Reality, Game Design, Full-Stack Web Development, Mobile Development, Agile Software Development, Animations, Data Ethics, Event-Driven Programming, Git (Version Control System), Web Applications, Incident Response, Data Science, Natural Language Processing, Data Transformation, Combinatorics, Database Design, Model Evaluation, Web Development, Generative AI

    Credit offered

    Graduate Certificate · 6 - 12 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Machine Learning Methods, Image Quality, Generative AI, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, Machine Learning, Classification Algorithms, Software Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    374 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • C

    Clemson University

    Master of Science in Computer Science

    Skills you'll gain: Human Computer Interaction, Large Language Modeling, Database Systems, Database Management, Dimensionality Reduction, Database Design, Database Management Systems, Generative AI, Model Evaluation, Software Development Methodologies, Usability, Recurrent Neural Networks (RNNs), Data Preprocessing, Data Mining, Data Structures, Systems Development Life Cycle, Responsible AI, Algorithms, Machine Learning Methods, Human Factors

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Preview
    Preview
    H

    Hebrew University of Jerusalem

    Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

    Skills you'll gain: Computer Architecture, Hardware Architecture, Computer Hardware, Computer Engineering, Computer Science, Computer Systems, Microarchitecture, Computational Logic, System Programming, System Design and Implementation, Technical Design, Software Design, Memory Management, Program Development

    4.9
    Rating, 4.9 out of 5 stars
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    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Infosec

    Computer Forensics

    Skills you'll gain: Digital Forensics, File Systems, Microsoft Windows, grep, Network Protocols, File Management, Operating Systems, Data Structures, General Networking, Data Validation, File I/O, Record Keeping, Data Integrity, Data Storage, User Accounts, USB, Identity and Access Management, Ethical Standards And Conduct, Encryption, System Configuration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    351 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Generative AI, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing, Matlab, Software Visualization, Classification Algorithms, Data Cleansing, Model Optimization, Predictive Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Beginner · Specialization · 1 - 3 Months

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Image Quality, Model Training, Fine-tuning, Classification Algorithms, Machine Learning Algorithms, Deep Learning, Model Optimization, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    A

    Arm

    Introduction to Microprocessors

    Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Hardware, System Programming, Data Storage, Memory Management, Computational Logic, Computer Programming, C (Programming Language), Data Storage Technologies, Program Development, C# (Programming Language)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    81 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    K

    Khalifa University

    Deep Learning for Computer Vision: Techniques & Applications

    Skills you'll gain: Generative AI, Computer Vision, PyTorch (Machine Learning Library), Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Image Analysis, Fine-tuning, Artificial Neural Networks, Model Training, Applied Machine Learning, Model Evaluation, Deep Learning, Transfer Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Artificial Intelligence

    Intermediate · Course

  • Status: Free Trial
    Free Trial
    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
    Rating, 4.6 out of 5 stars
    ·
    98 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Discrete Mathematical Tools for Computer Science

    Skills you'll gain: Probability, Computational Logic, Combinatorics, Bayesian Statistics, Algorithms, Theoretical Computer Science, Mathematical Software, Mathematical Theory & Analysis, Cryptography, Logical Reasoning, Deductive Reasoning, Computational Thinking, Computer Science, Encryption, Data Structures, Arithmetic, General Mathematics, Public Key Cryptography Standards (PKCS), Problem Solving, Cybersecurity

    Beginner · Specialization · 3 - 6 Months

1…456…726

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

  • Essential Mathematics for Computer Science: University of London
  • Graduate Certificate in Computer Science: University of London
  • MathWorks Computer Vision Engineer: MathWorks
  • Master of Science in Computer Science: Clemson University
  • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
  • Computer Forensics: Infosec
  • Deep Learning for Computer Vision: MathWorks
  • Introduction to Computer Vision and Image Processing: IBM
  • Introduction to Microprocessors: Arm
  • Deep Learning for Computer Vision: Techniques & Applications: Khalifa University

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