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    • Robotics

    Robotics Courses Online

    Learn robotics for designing and building automated systems. Understand robotics programming, mechanics, and control systems.

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    Explore the Robotics Course Catalog

    • Johns Hopkins University

      Applied Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Français

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Tensorflow, Data Analysis, Keras (Neural Network Library), Google Cloud Platform, Applied Machine Learning, Data Quality, Data Cleansing, Data Strategy, Supervised Learning, Unsupervised Learning, Performance Testing, Machine Learning, Performance Tuning, Dataflow, Deep Learning, Machine Learning Algorithms, Data Processing, Artificial Neural Networks

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: AI skills
      AI skills

      University of Pennsylvania

      AI and Machine Learning Essentials with Python

      Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Statistical Modeling, Supervised Learning, Statistics, Machine Learning, Data Processing, Artificial Intelligence, Artificial Neural Networks, Algorithms, Theoretical Computer Science, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Google Cloud

      Transformer Models and BERT Model - 日本語版

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Artificial Intelligence

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Northwestern University

      현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어

      Skills you'll gain: Machine Controls, Simulation and Simulation Software, Graph Theory, Mathematical Modeling, Artificial Intelligence, Process Control, Computer Programming Tools, Mechanics, Algorithms, Virtual Environment, Mechanical Engineering, Applied Mathematics, Numerical Analysis, Engineering Analysis, Control Panels, Electronic Systems, Differential Equations, Torque (Physics), Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • DeepLearning.AI

      الشبكات العصبية والتعلم العميق

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Machine Learning, Network Architecture, Machine Learning Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • CertNexus

      Build Decision Trees, SVMs, and Artificial Neural Networks

      Skills you'll gain: Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Supervised Learning, Computer Vision, Machine Learning, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • SAS

      Using SAS Viya REST APIs with Python and R

      Skills you'll gain: SAS (Software), Data Analysis Software, Advanced Analytics, R Programming, Big Data, Image Analysis, Data Science, Time Series Analysis and Forecasting, Natural Language Processing, Jupyter, Predictive Modeling, Predictive Analytics, Deep Learning, Data Processing, Restful API, Machine Learning, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Mixed · Course · 1 - 3 Months

    • University of Colorado Boulder

      Statistical Learning for Data Science

      Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Data Science, Predictive Modeling, Statistical Analysis, Supervised Learning, R Programming, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Probability & Statistics, Advanced Analytics, Decision Tree Learning, Machine Learning, Sampling (Statistics), Feature Engineering, Machine Learning Algorithms

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      17 reviews

      Intermediate · Specialization · 3 - 6 Months

    • H2O.ai

      Large Language Models

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, OpenAI, Natural Language Processing, Data Validation, ChatGPT, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Data Processing, Predictive Modeling, Data Quality, Machine Learning, Performance Tuning, Benchmarking, Artificial Intelligence

      3.6
      Rating, 3.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Northwestern University

      현대 로봇공학, 강좌 2: 로봇 기구학

      Skills you'll gain: Mechanics, Torque (Physics), Mathematical Modeling, Engineering Analysis, Engineering Calculations, Mechanical Engineering, Applied Mathematics, Linear Algebra, Computer Programming Tools

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Northwestern University

      현대 로봇공학, 강좌 5: 로봇 매니퓰레이션 및 차륜형 이동 로봇

      Skills you'll gain: Machine Controls, Mathematical Modeling, Mechanics, Mechanical Engineering, Simulation and Simulation Software, Engineering Calculations, Engineering Analysis, Computer Programming Tools, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

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    1…272829…42

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

    • Applied Machine Learning: Johns Hopkins University
    • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
    • AI and Machine Learning Essentials with Python: University of Pennsylvania
    • Transformer Models and BERT Model - 日本語版: Google Cloud
    • 현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어: Northwestern University
    • الشبكات العصبية والتعلم العميق: DeepLearning.AI
    • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
    • Using SAS Viya REST APIs with Python and R: SAS
    • Statistical Learning for Data Science: University of Colorado Boulder
    • Large Language Models: H2O.ai

    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

    Understanding why you want to learn robotics, whether for research, engineering, or personal projects, will focus your efforts. Regular practice with programming, electronics, and mechanical design is essential. Join robotics communities online or local clubs for support and collaboration. Work on real projects like building small robots or participating in robotics competitions. Coursera’s Modern Robotics: Mechanics, Planning, and Control Specialization by Northwestern University offers a comprehensive robotics curriculum.‎

    Robotics courses on Coursera cover a wide range of essential skills needed to design, build, and program robots, including:

    • Fundamental principles of robotics engineering, such as kinematics, dynamics, and control systems.
    • Programming skills specific to robotics applications, including programming in Python, C++, and ROS (Robot Operating System).
    • Techniques for designing robotic systems, including mechanical design and sensor integration.
    • Methods for implementing artificial intelligence in robots to perform tasks such as navigation, manipulation, and interaction.
    • Best practices for testing and debugging robotic systems to ensure functionality and reliability.
    • Insights into the ethical and societal implications of robotics technology.
    • Application of robotics in various fields such as manufacturing, healthcare, and autonomous vehicles.‎

    Coursera’s Robotics courses cater to learners with different levels of experience:

    • Beginners: No prior experience is required for introductory courses, which provide basics in robotics and simple programming.
    • Intermediate Learners: Some knowledge of programming or mechanical design is beneficial for intermediate courses that delve into more complex robotics concepts.
    • Advanced Professionals: Experienced engineers or programmers can take advanced courses focusing on specialized areas of robotics, such as AI integration or advanced control systems. ‎

    Engaging with Robotics courses on Coursera can lead to various credentials that demonstrate your capabilities:

    • Course Certificates: Obtain a certificate for each Robotics course you complete, showcasing your expertise in specific robotics skills.
    • Professional Certificates: These are designed to prepare you for professional roles in robotics, highlighting your advanced knowledge and technical skills.
    • Specializations: Engage in a series of courses that provide comprehensive training in robotics, culminating in a capstone project where you apply your skills in practical scenarios.‎

    Skills gained from Robotics courses can lead to a variety of career opportunities in industries that incorporate robotic technologies, such as:

    • Robotics Engineer: Designing and developing robotic systems that can perform a variety of tasks.
    • Automation Engineer: Implementing robotic solutions to improve efficiency and safety in manufacturing and production processes.
    • Software Developer for Robotics: Creating the software that controls and integrates robotic systems.
    • Systems Analyst: Analyzing and improving existing robotic systems to enhance their performance and functionality.
    • Research Scientist in Robotics: Conducting research to advance the field of robotics, developing new technologies and applications.‎

    Looking to enhance your team's Robotics skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our Robotics training options and make a purchase, please visit our Coursera for Teams page.‎

    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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