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    • Robotics

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    274 results for "robotics"

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      University of Pennsylvania

      Robotics: Estimation and Learning

      4.3

      (494 reviews)

      Mixed · Course · 1-4 Weeks

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      University of Pennsylvania

      Robotics: Perception

      Skills you'll gain: Mathematics, Geometry, Computer Vision, Linear Algebra, Machine Learning, Algorithms, Theoretical Computer Science

      4.3

      (637 reviews)

      Intermediate · Course · 1-4 Weeks

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      Arizona State University

      AI and Machine Learning MasterTrack® Certificate

      Skills you'll gain: Theoretical Computer Science, Machine Learning, Software Engineering, Algorithms, Software Architecture, Statistical Machine Learning, Software Testing, Computer Programming, Data Visualization, Mobile Development, Deep Learning, Security Engineering, Databases, Probability & Statistics, Computational Logic, Mathematics, Computational Thinking, Computer Architecture, General Statistics, Operating Systems, Programming Principles, Bayesian Network, Computer Vision, Mathematical Theory & Analysis, Data Analysis, Data Mining, Data Management, Design and Product, Distributed Computing Architecture, Feature Engineering, NoSQL, Product Design, BlockChain, Finance, Artificial Neural Networks, Operations Research, Probability Distribution, Research and Design, Strategy and Operations, Amazon Web Services, Application Development, Calculus, Cloud Computing, Communication, Cryptography, Data Model, Data Structures, Database Administration, Database Application, Database Design, Dimensionality Reduction, Journalism, Microarchitecture, Mobile Security, SQL, Security Strategy, Software Framework, Statistical Programming, System Programming, System Security, iOS Development, Advertising, Algebra, Computer Graphics, Computer Networking, Critical Thinking, Docker (Software), Econometrics, Entrepreneurship, Geovisualization, Hardware Design, Human Computer Interaction, Leadership and Management, Marketing, Matlab, Network Security, Other Programming Languages, Planning, Python Programming, Scala Programming, Spreadsheet Software, Statistical Tests, Supply Chain Systems, Supply Chain and Logistics, Tableau Software, User Experience, Web Development

      Credit offered

      Mastertrack · 6-12 Months

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      DeepLearning.AI, Stanford University

      Machine Learning

      Skills you'll gain: Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Applied Machine Learning, Algorithms, Artificial Neural Networks, Regression, Econometrics, Computer Programming, Deep Learning, Python Programming, Statistical Programming, Mathematics, Tensorflow, Data Management, Data Structures, Statistical Machine Learning, Reinforcement Learning, Probability Distribution, Mathematical Theory & Analysis, Data Analysis, Data Mining, Linear Algebra, Computer Vision, Calculus, Feature Engineering, Bayesian Statistics, Operations Research, Research and Design, Strategy and Operations, Computational Logic, Accounting, Communication

      4.9

      (9.5k reviews)

      Beginner · Specialization · 1-3 Months

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      IBM

      IBM AI Foundations for Business

      Skills you'll gain: Data Science, Applied Machine Learning, Data Management, Leadership and Management, Data Architecture, Data Mining, Machine Learning, Regression, Artificial Neural Networks, Basic Descriptive Statistics, Cloud Computing, Cloud Platforms, Data Analysis, Database Administration, Databases, Deep Learning, Big Data, Computer Vision, General Statistics, Innovation, Machine Learning Algorithms, Probability & Statistics, Storytelling, Writing

      4.7

      (71.9k reviews)

      Beginner · Specialization · 1-3 Months

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      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Machine Learning, Probability & Statistics, Regression, General Statistics, Machine Learning Algorithms, Algorithms, Theoretical Computer Science, Econometrics, Computer Programming, Mathematics, Python Programming, Statistical Machine Learning, Statistical Programming, Applied Machine Learning, Artificial Neural Networks, Calculus, Feature Engineering, Linear Algebra, Probability Distribution, Accounting

      4.9

      (8.2k reviews)

      Beginner · Course · 1-4 Weeks

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      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Machine Learning, Deep Learning, Tensorflow, Artificial Neural Networks, Computer Vision, Data Science, Computer Programming, Python Programming, Statistical Programming, General Statistics, Natural Language Processing, Probability & Statistics, Business Psychology, Entrepreneurship, Forecasting, Applied Machine Learning, Communication, Machine Learning Algorithms, Marketing, Calculus, Data Visualization, Mathematics, Programming Principles, Statistical Machine Learning, Computer Graphic Techniques, Computer Graphics, Machine Learning Software

      4.7

      (23.3k reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM AI Engineering

      Skills you'll gain: Machine Learning, Computer Programming, Python Programming, Computer Vision, Deep Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Probability & Statistics, General Statistics, Regression, Applied Machine Learning, Apache, Data Management, Data Mining, Data Analysis, Statistical Analysis, Big Data, Algorithms, Theoretical Computer Science, Statistical Machine Learning, Computer Graphics, Dimensionality Reduction, Tensorflow, Computer Graphic Techniques, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Databases, Mathematics, NoSQL, SQL, Econometrics, Estimation, Entrepreneurship, Machine Learning Software, Probability Distribution, Data Science, Data Structures, IBM Cloud, Supply Chain Systems, Supply Chain and Logistics

      4.6

      (16k reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Machine Learning, Natural Language Processing, Statistical Programming, Python Programming, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Data Science, Statistical Machine Learning, Human Computer Interaction, Probability & Statistics, User Experience, Algorithms, Bayesian Statistics, Communication, Computer Graphics, Computer Programming, Dimensionality Reduction, Experiment, General Statistics, Machine Learning Software, Markov Model, Mathematics, Operations Research, Regression, Research and Design, Strategy and Operations, Theoretical Computer Science

      4.6

      (5k reviews)

      Intermediate · Specialization · 3-6 Months

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      Stanford University

      AI in Healthcare

      Skills you'll gain: Machine Learning, Applied Machine Learning, Data Management, Finance, Leadership and Management, Clinical Data Management, Artificial Neural Networks, Data Analysis, Data Mining, Deep Learning, Machine Learning Algorithms, Payments, Regulations and Compliance, Risk Management, Accounting, Marketing

      4.7

      (1k reviews)

      Beginner · Specialization · 3-6 Months

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      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning, Machine Learning Algorithms, Python Programming, Linear Algebra, Regression, General Statistics, Probability & Statistics, Business Psychology, Computer Programming, Dimensionality Reduction, Entrepreneurship, Feature Engineering, Statistical Programming, Supply Chain Systems, Supply Chain and Logistics, Applied Machine Learning, Mathematics, Statistical Machine Learning, Machine Learning Software, Bayesian Statistics, Statistical Tests, Algebra, Algorithms, Computational Logic, Computer Architecture, Computer Networking, Data Structures, Estimation, Hardware Design, Markov Model, Mathematical Theory & Analysis, Network Model, Theoretical Computer Science

      4.9

      (117.8k reviews)

      Intermediate · Course · 1-4 Weeks

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      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Skills you'll gain: Machine Learning, Cloud Computing, Google Cloud Platform, Computer Programming, Cloud Platforms, Statistical Programming, Python Programming, Data Management, Applied Machine Learning, Feature Engineering, Tensorflow, Deep Learning, DevOps, Entrepreneurship, Probability & Statistics, Data Analysis, Big Data, Artificial Neural Networks, Business Psychology, Data Visualization, Exploratory Data Analysis, Regression, SQL, Statistical Visualization, Theoretical Computer Science, Data Science, Kubernetes, Apache, Basic Descriptive Statistics, Bayesian Statistics, Computational Thinking, Computer Architecture, Computer Networking, Data Model, Data Structures, Extract, Transform, Load, General Statistics, Hardware Design, Machine Learning Algorithms, Machine Learning Software, Network Security, Performance Management, Security Engineering, Security Strategy, Statistical Machine Learning, Strategy and Operations, Algorithms, Business Analysis, Cloud Applications, Cloud Infrastructure, Cloud Storage, Data Analysis Software, Data Architecture, Data Warehousing, Database Application, Databases, Dimensionality Reduction, Distributed Computing Architecture, Full-Stack Web Development, Information Technology, Natural Language Processing, Statistical Analysis, Web Development

      4.6

      (25.1k reviews)

      Intermediate · Professional Certificate · 3-6 Months

    Searches related to robotics

    robotics: aerial robotics
    robotics: perception
    robotics: computational motion planning
    robotics: mobility
    robotics: capstone
    robotics: estimation and learning
    modern robotics: mechanics, planning, and control
    modern robotics, course 4: robot motion planning and control
    1…456…23

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

    • Robotics: Estimation and Learning: University of Pennsylvania
    • Robotics: Perception: University of Pennsylvania
    • AI and Machine Learning MasterTrack® Certificate: Arizona State University
    • Machine Learning: DeepLearning.AI
    • IBM AI Foundations for Business: IBM
    • Supervised Machine Learning: Regression and Classification: DeepLearning.AI
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • IBM AI Engineering: IBM Skills Network
    • Natural Language Processing: DeepLearning.AI
    • AI in Healthcare: Stanford University

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Robotics

    • It may be an oversimplification to say that robotics is the story of robots, but robotics actually combines computer science and engineering to develop machines that can perform tasks—which we call robots. When you study robotics, you're taking what seemed like a science fiction pipe dream just a few decades ago and helping bring it to reality. Studying robotics puts you on the cutting edge of technology and science because robotic scientists are continuing to develop robots with greater capabilities than before. Today's robots work in space, with law enforcement, and in conditions where humans can't work.‎

    • Robotics is an important field of study because so many new technologies rely on new developments in robotics—from manufacturing to aerospace and beyond. Robots are helping humans achieve tasks that they never could before. Beyond the immediate applications of robotics, studying this exciting field helps you build your problem-solving skills and develop creativity, deepens your understanding of math and science concepts, and lets you have fun doing it. The robotics industry is growing, so having a thorough knowledge of robotics can set you up for future career success.‎

    • The growing field of robotics is ripe for career opportunities, so when you learn robotics, you're on the cutting edge of a broadly expanding discipline. You can study for a career developing and building the robots themselves, or you can help write the software that powers the robots and directs them on how to perform their tasks. You may work with the robots that are exploring outer space, or you may help explore the deepest parts of the ocean using robotics. There are career opportunities in research as well, where you could have a hand bringing the next generation of robotic technology to life.‎

    • Courses offered on Coursera can help you learn about robotic mobility, self-driving cars, and the ethics of artificial intelligence. You can gain an understanding of robot safety, machine learning, and the fundamental mathematical modeling techniques that are essential in the robotics field.‎

    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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