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    • Quantum Computing

    Quantum Computing Courses Online

    Study quantum computing for next-generation technology. Learn about quantum algorithms, qubits, and quantum information theory.

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    Explore the Quantum Computing Course Catalog

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Fundamentals: Core Infrastructure

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Kubernetes, Containerization, Cloud Storage, Cloud Services, Identity and Access Management, Application Deployment, Virtual Machines, Cloud Computing, Application Development, Generative AI, Network Infrastructure, NoSQL, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Quantum Computing with Qiskit and Advanced Algorithms

      Skills you'll gain: Algorithms, IBM Cloud, Python Programming, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Computational Thinking, Jupyter, Emerging Technologies, Linear Algebra, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • 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, Computer Hardware, Computational Logic, Computer Programming, System Design and Implementation, Technical Design, Software Design, Program Development, Debugging, Verification And Validation, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

      Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      700 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Generative AI Agents, Scikit Learn (Machine Learning Library), Image Analysis, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Artificial Neural Networks

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Divide and Conquer, Sorting and Searching, and Randomized Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Programming Principles, Probability & Statistics, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Understanding Modern Physics II: Quantum Mechanics and Atoms

      Skills you'll gain: Physics, Laboratory Experience, Experimentation, Advanced Mathematics, Physical Science, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Princeton University

      Computer Architecture

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Distributed Computing, Operating Systems, Performance Tuning, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Advanced · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Prompt Engineering, Istio, HTML and CSS, Node.JS, Software Development Life Cycle, Software Architecture, Unit Testing, Object-Relational Mapping, Cloud Computing Architecture, Server Side, Application Deployment, React Redux, Kubernetes, Cloud Services, OpenShift, Git (Version Control System), Full-Stack Web Development, Cloud Computing, Jupyter, Interviewing Skills

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      55K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Foundations of Quantum Mechanics

      Skills you'll gain: Linear Algebra, Physics, Mechanics, Probability, Advanced Mathematics, Mathematical Modeling, Mathematical Theory & Analysis, Engineering Analysis, Differential Equations, Physical Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      81 reviews

      Intermediate · Course · 1 - 3 Months

    Quantum Computing learners also search

    Quantum
    Quantum Physics
    Quantum Mechanics
    Quantum Cryptography
    Physics
    Calculus
    Mathematics
    Theoretical Computer Science
    1234…284

    In summary, here are 10 of our most popular quantum computing courses

    • Google Cloud Fundamentals: Core Infrastructure: Google Cloud
    • Quantum Computing with Qiskit and Advanced Algorithms: Packt
    • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
    • Computer Science: Algorithms, Theory, and Machines: Princeton University
    • IBM AI Engineering: IBM
    • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
    • Computational Neuroscience: University of Washington
    • Understanding Modern Physics II: Quantum Mechanics and Atoms: The Hong Kong University of Science and Technology
    • Computer Architecture: Princeton University
    • Data Science: Johns Hopkins University

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

    Frequently Asked Questions about Quantum Computing

    Quantum computing is the area of computing that studies how to apply quantum theory to develop new ways of computing. Quantum theory looks at the world from the atomic and subatomic levels, so quantum computing takes the practices of classical computing to smaller sizes and faster speeds. Quantum computers can sort data and solve complex problems much more efficiently than a classical computer can. Today's technological innovators are studying quantum physics to develop new methods to solve problems in ways that you could only dream about just a few years ago.‎

    Whether for academic research, career advancement, or personal interest, having a clear goal will guide your learning of quantum computing. Regular practice with quantum algorithms and understanding quantum principles is crucial. Join quantum computing communities like Qiskit or Reddit’s r/QuantumComputing for support and resources. Work on real projects like developing quantum programs or simulations.‎

    Quantum computing is an exciting, cutting-edge field that can make a significant impact across multiple areas of our lives in the near future. The discoveries that quantum computing is producing could add new technologies and innovations in the design of new materials, artificial intelligence, medicine, finance, aerospace, vehicle design, and the military. Some of the world's best-known technology companies are working to make strides in quantum computing, which means that it's a rapidly growing field where you may find plenty of job opportunities over the next few years.‎

    Quantum computing has the potential to create new jobs across many sectors of society, from jobs developing quantum computer technology to careers that apply this new discipline in different industries. You can find jobs performing the research and experimentation that is leading to quantum computing breakthroughs. As quantum computing grows in prominence, you might be able to use it to crack codes in espionage or rely on it to develop new medicines and vaccines. New careers that involve quantum computing will arise in the coming years, creating even more opportunities.‎

    When you take online courses on Coursera, you can learn how quantum computing can solve more problems with fewer equations or how quantum computing works in certain applications. You have the opportunity to learn about important concepts, such as mathematical biostatistics, mechanics, machine learning, number theory, and cryptography.‎

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

    When looking to enhance your workforce's skills in Quantum Computing, 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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