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    • Robotics

    Robotics Courses

    Robotics courses can help you learn how to design, build, and program intelligent machines that can perform tasks autonomously or with human guidance.

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    Find the Best Robotics Course for Your Goals

    • C

      Coursera Project Network

      Machine Learning with ChatGPT: Image Classification Model

      Skills you'll gain: ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Image Analysis, Machine Learning Methods, Data Import/Export, Test Data, Performance Tuning, Artificial Neural Networks, Data Processing, Deep Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      29 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      S

      Simplilearn

      AI ML with Deep Learning and Supervised Models

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning Algorithms, Tensorflow, Deep Learning, Keras (Neural Network Library), Machine Learning, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Predictive Analytics, Data Ethics, Algorithms, Random Forest Algorithm, Computer Vision

      Beginner · Specialization · 1 - 3 Months

    • F

      Fundação Instituto de Administração

      RH, Dados e Inteligência Artificial

      Skills you'll gain: People Analytics, HR Tech, Deep Learning, Digital Transformation, Machine Learning, Human Resources, Artificial Neural Networks, Artificial Intelligence, Data-Driven Decision-Making, Predictive Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      Northwestern University

      현대 로봇공학, 강좌 2: 로봇 기구학

      Skills you'll gain: Mechanics, Torque (Physics), Mathematical Modeling, Engineering Analysis, Engineering Calculations, Mechanical Engineering, Numerical Analysis, Applied Mathematics, Trigonometry, Control Systems, Linear Algebra, Spatial Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Create a Superhero Name Generator with TensorFlow

      Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Machine Learning Methods, Text Mining, Artificial Neural Networks, Deep Learning, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      38 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      Neuronale Netze und Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Python Programming, Machine Learning, Supervised Learning

      Intermediate · Course · 1 - 4 Weeks

    • C

      Copenhagen Business School

      AI and the Illusion of Intelligence

      Skills you'll gain: Artificial Intelligence, Large Language Modeling, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Statistical Machine Learning, OpenAI, Human Learning, Artificial Neural Networks, Generative AI, Computational Thinking, Human Computer Interaction, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      Northwestern University

      현대 로봇공학, 강좌 3: 로봇 동역학

      Skills you'll gain: Automation Engineering, Mathematical Modeling, Computer Programming Tools, Simulation and Simulation Software, Mechanical Engineering, Engineering Calculations, Software Development Tools, Numerical Analysis, Mechanics, Torque (Physics), Algorithms, Control Systems, Applied Mathematics, Differential Equations, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • J

      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), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      G

      Google Cloud

      Transformer Models and BERT Model - 日本語版

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Artificial Neural Networks, Deep Learning

      Advanced · Course · 1 - 4 Weeks

    • G

      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, Machine Learning, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), 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: New
      New
      U

      University of Colorado Boulder

      Fundamentals of Natural Language Processing

      Skills you'll gain: Natural Language Processing, Text Mining, Statistical Modeling, Data Processing, Probability & Statistics, Unstructured Data, Artificial Neural Networks, Machine Learning, Supervised Learning, Algorithms, Regression Analysis

      Build toward a degree

      Intermediate · Course · 1 - 4 Weeks

    Searches related to robotics

    robotics engineer
    robotics engineering & applications
    robotics and autonomous systems
    robotics process automation for smart manufacturing
    how to get into robotics
    aerial robotics
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    modern robotics, course 1: foundations of robot motion
    1…262728…40

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

    • Machine Learning with ChatGPT: Image Classification Model: Coursera Project Network
    • AI ML with Deep Learning and Supervised Models: Simplilearn
    • RH, Dados e Inteligência Artificial: Fundação Instituto de Administração
    • 현대 로봇공학, 강좌 2: 로봇 기구학: Northwestern University
    • Create a Superhero Name Generator with TensorFlow: Coursera Project Network
    • Neuronale Netze und Deep Learning: DeepLearning.AI
    • AI and the Illusion of Intelligence: Copenhagen Business School
    • 현대 로봇공학, 강좌 3: 로봇 동역학: Northwestern University
    • Applied Machine Learning: Johns Hopkins University
    • Transformer Models and BERT Model - 日本語版: Google Cloud

    Why Learn Robotics?

    Robotics combines engineering, computer science, and artificial intelligence to create machines that sense, move, and interact with their environment. It plays a vital role in fields like manufacturing, healthcare, space exploration, and everyday automation. Learning robotics can help you build problem-solving skills and contribute to innovations that are reshaping the future of work and technology.

    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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