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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

    • LearnQuest

      Machine Learning Models in Science

      Skills you'll gain: Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Classification And Regression Tree (CART), Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Deep Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling

      4
      Rating, 4 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Supervised Text Classification for Marketing Analytics

      Skills you'll gain: Supervised Learning, Marketing Analytics, Machine Learning, Deep Learning, Tensorflow, Scikit Learn (Machine Learning Library), Python Programming, Marketing, Natural Language Processing, Google Cloud Platform, Data Processing, Artificial Neural Networks, Text Mining, Performance Metric

      Build toward a degree

      3.1
      Rating, 3.1 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free

      Oracle

      Oracle Cloud Infrastructure AI Foundations

      Skills you'll gain: Generative AI, Oracle Cloud, Supervised Learning, Machine Learning, Deep Learning, Artificial Intelligence, Artificial Neural Networks, Unsupervised Learning, Natural Language Processing, Cloud Services

      Beginner · Course · 1 - 4 Weeks

    • LearnQuest

      Neural Networks and Random Forests

      Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Machine Learning, Performance Tuning, Python Programming

      2.9
      Rating, 2.9 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      DeepLearning.AI

      Introduction to On-Device AI

      Skills you'll gain: Performance Testing, Android Development, PyTorch (Machine Learning Library), Embedded Software, Deep Learning, Tensorflow, Hardware Architecture, Artificial Neural Networks, Real Time Data, Computer Vision, Artificial Intelligence, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13 reviews

      Beginner · Project · Less Than 2 Hours

    • University of Glasgow

      Deep learning in Electronic Health Records - CDSS 2

      Skills you'll gain: Deep Learning, Electocardiography, Artificial Neural Networks, Data Processing, Electronic Medical Record, Data Cleansing, Machine Learning, Time Series Analysis and Forecasting, Predictive Modeling, Health Care, Intensive Care Medicine

      3.9
      Rating, 3.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Fundação Instituto de Administração

      Fundamentos de Inteligência Artificial para Finanças

      Skills you'll gain: Deep Learning, Predictive Analytics, Data-Driven Decision-Making, Machine Learning, Digital Transformation, Financial Forecasting, Artificial Intelligence, Artificial Neural Networks, Finance, Accounting, Supervised Learning, Unsupervised Learning, Data Science, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • Northeastern University

      Machine Learning in Healthcare: Fundamentals & Applications

      Skills you'll gain: Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Ethics, Random Forest Algorithm, Deep Learning, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Artificial Neural Networks, Data Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • DeepLearning.AI

      신경망 및 딥 러닝

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Network Architecture, Machine Learning, Performance Tuning, Linear Algebra, Calculus

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Michigan

      Information Extraction from Free Text Data in Health

      Skills you'll gain: Text Mining, Unstructured Data, Natural Language Processing, Data Mining, Medical Records, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Medical Terminology, Health Care, Artificial Neural Networks, Supervised Learning

      Intermediate · Course · 1 - 4 Weeks

    • University of California, Davis

      Digital Trends: AI, Metaverse, Persuasive Tech & Blockchain

      Skills you'll gain: Digital Transformation, Blockchain, Data Ethics, Emerging Technologies, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Digital Assets, Artificial Neural Networks, Social Media, Business Modeling, Web Development, Deep Learning, Human Computer Interaction, Consumer Behaviour, Business Ethics, Algorithms, Decision Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Google Cloud

      Intro to TensorFlow em Português Brasileiro

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

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    1…293031…42

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

    • Machine Learning Models in Science: LearnQuest
    • Supervised Text Classification for Marketing Analytics: University of Colorado Boulder
    • Oracle Cloud Infrastructure AI Foundations: Oracle
    • Neural Networks and Random Forests: LearnQuest
    • Introduction to On-Device AI: DeepLearning.AI
    • Deep learning in Electronic Health Records - CDSS 2: University of Glasgow
    • Fundamentos de Inteligência Artificial para Finanças: Fundação Instituto de Administração
    • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
    • 신경망 및 딥 러닝: DeepLearning.AI
    • Information Extraction from Free Text Data in Health: University of Michigan

    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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