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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

    • U

      University of Glasgow

      Generative Pre-trained Transformers (GPT)

      Skills you'll gain: Large Language Modeling, ChatGPT, Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Prompt Engineering, Tensorflow, Data Ethics, Deep Learning, Artificial Neural Networks, Artificial Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Glasgow

      Informed Clinical Decision Making using Deep Learning

      Skills you'll gain: Deep Learning, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Data Mining, Descriptive Analytics, Database Design, Electronic Medical Record, Precision Medicine, Healthcare Ethics, Electocardiography, Machine Learning, Machine Learning Methods, Patient Flow, Artificial Neural Networks, Predictive Analytics, Applied Machine Learning, Image Analysis, Time Series Analysis and Forecasting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      33 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of California, Berkeley

      Master of Advanced Study in Engineering Degree Preview

      Skills you'll gain: Environmental Engineering, Electronics Engineering, Electronics, Civil Engineering, Manufacturing Processes, Control Systems, Manufacturing and Production, Environmental Issue, Electronic Systems, Electronic Components, Semiconductors, Engineering, Production Process, Engineering Management, Electrical Engineering, Energy and Utilities, Electrical and Computer Engineering, Systems Engineering, Robotic Process Automation, Automation

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Explainable AI: Scene Classification and GradCam Visualization

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Image Analysis, Tensorflow, Computer Vision, Applied Machine Learning, Artificial Neural Networks, Data Processing, Interactive Data Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Art and Science of Machine Learning en Español

      Skills you'll gain: Tensorflow, Performance Tuning, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Supervised Learning, Machine Learning, Machine Learning Algorithms, Regression Analysis, Google Cloud Platform

      4.7
      Rating, 4.7 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Encoder-Decoder Architecture

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative AI, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      41 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      Northwestern University

      현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어

      Skills you'll gain: Control Systems, Simulation and Simulation Software, Graph Theory, Mathematical Modeling, Artificial Intelligence, Computer Programming Tools, Mechanics, Algorithms, Virtual Environment, Applied Mathematics, Numerical Analysis, Differential Equations, Torque (Physics)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      Northwestern University

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

      Skills you'll gain: Machine Controls, Automation Engineering, Mathematical Modeling, Torque (Physics), Mechanics, Control Systems, Mechanical Engineering, Engineering, Simulation and Simulation Software, Engineering Analysis, Applied Mathematics, Program Development, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Transformer Models and BERT Model - Bahasa Indonesia

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

      Advanced · Course · 1 - 4 Weeks

    • U

      Università di Napoli Federico II

      Data Science con Python e R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Scripting, Machine Learning, Exploratory Data Analysis, Programming Principles

      4.3
      Rating, 4.3 out of 5 stars
      ·
      50 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidade de São Paulo

      Processamento Neural de Linguagem Natural em Português I

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Text Mining

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Columbia University

      Visual Perception

      Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Graph Theory, Machine Learning Algorithms, Machine Learning, Feature Engineering

      4.6
      Rating, 4.6 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 3 Months

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    1…252627…40

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

    • Generative Pre-trained Transformers (GPT): University of Glasgow
    • Informed Clinical Decision Making using Deep Learning: University of Glasgow
    • Master of Advanced Study in Engineering Degree Preview : University of California, Berkeley
    • Explainable AI: Scene Classification and GradCam Visualization : Coursera Project Network
    • Art and Science of Machine Learning en Español: Google Cloud
    • Encoder-Decoder Architecture: Google Cloud
    • 현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어: Northwestern University
    • 현대 로봇공학, 강좌 5: 로봇 매니퓰레이션 및 차륜형 이동 로봇: Northwestern University
    • Transformer Models and BERT Model - Bahasa Indonesia: Google Cloud
    • Data Science con Python e R: Università di Napoli Federico II

    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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