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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 Michigan

      Information Extraction from Free Text Data in Health

      Skills you'll gain: Text Mining, Unstructured Data, Health Informatics, Natural Language Processing, Data Mining, Deep Learning, Machine Learning, Medical Terminology, Artificial Neural Networks, Supervised Learning

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Intro to TensorFlow em Português Brasileiro

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Application Deployment, Deep Learning, Data Processing, Applied Machine Learning, Data Pipelines, Artificial Neural Networks, Application Programming Interface (API)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Davis

      Digital Trends: AI, Metaverse, Persuasive Tech & Blockchain

      Skills you'll gain: Digital Transformation, Emerging Technologies, Artificial Intelligence, Digital Assets, Digital Marketing, Artificial Neural Networks, Social Media, Web Development, Deep Learning, Persuasive Communication, Human Computer Interaction, Machine Learning, Business Ethics, Algorithms, Cryptography, Decision Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SAS

      Modeling Time Series and Sequential Data

      Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Classify Radio Signals with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Image Analysis, Feature Engineering, Digital Communications, Deep Learning, Artificial Neural Networks, Telecommunications

      3.7
      Rating, 3.7 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      Università di Napoli Federico II

      Machine Learning e Data Mining in R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Data Mining, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Statistical Analysis, Data Visualization Software, Data Manipulation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Trees, SVM and Unsupervised Learning

      Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Supervised Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Dimensionality Reduction, Feature Engineering

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      W

      Whizlabs

      NVIDIA: Fundamentals of Deep Learning

      Skills you'll gain: Deep Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Machine Learning Methods, Supervised Learning, Data Processing, Network Model, Network Architecture

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Diabetes Disease Detection with XG-Boost and Neural Networks

      Skills you'll gain: Artificial Neural Networks, Exploratory Data Analysis, Applied Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      Universidad Austral

      NLP Modelos y Algoritmos

      Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Machine Learning Algorithms, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Unsupervised Learning, Algorithms, Supervised Learning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Curso Completo de Deep Learning

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Machine Learning, Machine Learning Algorithms, Data Processing

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      Universidad Austral

      Optimización de Redes Neuronales Profundas

      Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Statistical Analysis, Machine Learning Algorithms, Analysis, Applied Machine Learning, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    Searches related to robotics

    robotics engineer
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    modern robotics, course 1: foundations of robot motion
    1…293031…40

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

    • Information Extraction from Free Text Data in Health: University of Michigan
    • Intro to TensorFlow em Português Brasileiro: Google Cloud
    • Digital Trends: AI, Metaverse, Persuasive Tech & Blockchain: University of California, Davis
    • Modeling Time Series and Sequential Data: SAS
    • Classify Radio Signals with PyTorch: Coursera Project Network
    • Machine Learning e Data Mining in R: Università di Napoli Federico II
    • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
    • NVIDIA: Fundamentals of Deep Learning: Whizlabs
    • Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera Project Network
    • NLP Modelos y Algoritmos: Universidad Austral

    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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