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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

    • University of Toronto

      Introduction to Self-Driving Cars

      Skills you'll gain: Automation, Simulation and Simulation Software, Software Architecture, Hardware Architecture, Process Control, Systems Architecture, Computer Vision, Verification And Validation, Mathematical Modeling, Mechanical Engineering, Safety and Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Advanced · Course · 1 - 3 Months

    • DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Algorithms, Regression Analysis, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Technical University of Munich (TUM)

      Digitalisation in the Aerospace Industry

      Skills you'll gain: Human Factors, Manufacturing Processes, Production Process, Manufacturing Operations, Automation, Leadership, Human Machine Interfaces, Digital Transformation, Maintenance, Repair, and Facility Services, Artificial Intelligence, Simulation and Simulation Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      260 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Starweaver

      Robotics Process Automation for Smart Manufacturing

      Skills you'll gain: Robotic Process Automation, Business Process Automation, Automation, Manufacturing Processes, Manufacturing Operations, Key Performance Indicators (KPIs), Internet Of Things, Systems Integration, Scalability, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Generative AI, Data Science, Deep Learning, Business Ethics, Artificial Neural Networks, Business Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      47K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Machine Learning Methods, Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Linear Algebra, Data Analysis, Information Architecture, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      839 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University at Buffalo

      Collaborative Robot Safety: Design & Deployment

      Skills you'll gain: Safety Training, Safety Assurance, Safety and Security, Technical Standard, Equipment Design, Risk Control, Human Factors, Failure Analysis, Verification And Validation, Manufacturing and Production

      4.7
      Rating, 4.7 out of 5 stars
      ·
      256 reviews

      Beginner · Course · 1 - 4 Weeks

    • Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Neural Networks, Computer Vision, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Stanford University

      AI in Healthcare

      Skills you'll gain: Feature Engineering, Pharmaceuticals, Data Ethics, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Unstructured Data, Data Mining, Health Care, Applied Machine Learning, Electronic Medical Record, Machine Learning Algorithms, Machine Learning, Data Collection, Health Care Administration, Artificial Neural Networks, Medicare, Quality Improvement, Health Care Procedure and Regulation, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence, Keras (Neural Network Library), Artificial Neural Networks, PyTorch (Machine Learning Library), Machine Learning, Deep Learning, Data Processing, Feature Engineering, Algorithms, Tensorflow, Computer Programming, Machine Learning Methods, Unstructured Data, Regression Analysis, Bayesian Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • DeepLearning.AI

      AI for Good

      Skills you'll gain: Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Image Analysis, Emergency Response, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Mitigation, Text Mining, Environmental Monitoring, Natural Language Processing, Information Privacy, Artificial Neural Networks, Deep Learning, Data Processing, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      459 reviews

      Beginner · Specialization · 1 - 3 Months

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

    • Introduction to Self-Driving Cars: University of Toronto
    • Advanced Learning Algorithms: DeepLearning.AI
    • Digitalisation in the Aerospace Industry: Technical University of Munich (TUM)
    • Robotics Process Automation for Smart Manufacturing : Starweaver
    • AI For Everyone: DeepLearning.AI
    • Computational Neuroscience: University of Washington
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Collaborative Robot Safety: Design & Deployment: University at Buffalo
    • Introduction to Machine Learning: Duke University
    • AI in Healthcare: Stanford University

    Skills you can learn in Software Development

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    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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