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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
      Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft IT Support Specialist

      Skills you'll gain: Microsoft 365, Network Security, Business Software, Computer Hardware, Cybersecurity, Desktop Support, Virtual Private Networks (VPN), Network Troubleshooting, Technical Support, Hardware Troubleshooting, Hardware Architecture, Generative AI, Operating Systems, Collaborative Software, Network Protocols, TCP/IP, Application Security, Microsoft Teams, Information Systems Security, Multi-Factor Authentication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Unsupervised Learning, Artificial Neural Networks, Computer Vision, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      FPGA Design for Embedded Systems

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Electronic Hardware, System Design and Implementation, Electronic Systems, Embedded Systems, Eclipse (Software), Application Specific Integrated Circuits, Electrical and Computer Engineering, Schematic Diagrams, Program Development, Technical Design, Integrated Development Environments, Computer Architecture, Hardware Architecture, Software Development, Verification And Validation, Computer Engineering, Programming Principles, Development Testing

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Computer Vision, Machine Learning, Unsupervised Learning, Artificial Intelligence, Information Privacy, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Multivariate Calculus

      Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Engineering

      Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Embedding Sensors and Motors

      Skills you'll gain: Control Systems, Process Control, Embedded Systems, Electronic Systems, Machine Controls, Embedded Software, Programmable Logic Controllers, Electronics, Hardware Design, Automation Engineering, Laboratory Experience, Electronics Engineering, Electrical Engineering, Three-Phase, Power Electronics, Manufacturing Processes, Electrical Equipment, Manufacturing and Production, Electronic Components, Electrical Systems

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Applied Machine Learning, Medical Imaging, Machine Learning Algorithms, Computer Vision, Deep Learning, Natural Language Processing, Medical Science and Research, Radiology, Artificial Neural Networks, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Information​ ​Systems

      Skills you'll gain: Enterprise Resource Planning, Business Systems Analysis, Systems Analysis, Requirements Analysis, Cybersecurity, Business Requirements, Business Systems, Cloud Computing, Cloud Services, IT Management, Change Management, Information Technology, Organizational Change, Technology Strategies, Process Flow Diagrams, System Implementation, User Requirements Documents, Data Modeling, Enterprise Architecture, Portfolio Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Mathematics for Computer Science

      Skills you'll gain: Graphing, Computational Thinking, Arithmetic, Applied Mathematics, Mathematical Modeling, General Mathematics, Computer Science, Computer Graphics, Systems Of Measurement, Cryptography

      4.1
      Rating, 4.1 out of 5 stars
      ·
      238 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Deep Learning, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Distributed Computing, Computer Graphics, Unsupervised Learning, Network Model, Visualization (Computer Graphics), Network Architecture, Performance Tuning, Machine Learning Methods, API Design, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    Quantum Computing learners also search

    Quantum
    Quantum Physics
    Quantum Mechanics
    Quantum Cryptography
    Physics
    Calculus
    Mathematics
    Theoretical Computer Science
    1…151617…284

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

    • Microsoft IT Support Specialist: Microsoft
    • Introduction to Machine Learning: Duke University
    • FPGA Design for Embedded Systems: University of Colorado Boulder
    • Generative Adversarial Networks (GANs): DeepLearning.AI
    • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
    • Introduction to Data Engineering: IBM
    • Embedding Sensors and Motors: University of Colorado Boulder
    • Introduction to Genomic Technologies: Johns Hopkins University
    • AI for Medical Diagnosis: DeepLearning.AI
    • Information​ ​Systems: University of Minnesota

    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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