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    Results for "robotics"

    • DeepLearning.AI

      시퀀스 모델

      Skills you'll gain: Natural Language Processing, Generative AI, Keras (Neural Network Library), Large Language Modeling, Tensorflow, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Time Series Analysis and Forecasting

      Intermediate · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Predicting Extreme Climate Behavior with Machine Learning

      Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Data Science, Classification And Regression Tree (CART), Statistical Analysis, Predictive Modeling, Artificial Neural Networks, Data Processing, Feature Engineering

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      Google Cloud

      Attention Mechanism - Português Brasileiro

      Skills you'll gain: Machine Learning Methods, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Natural Language Processing, Text Mining

      Intermediate · Course · 1 - 4 Weeks

    • DeepLearning.AI

      النماذج المتعاقبة

      Skills you'll gain: Deep Learning, Natural Language Processing, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence, Machine Learning, Time Series Analysis and Forecasting, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • DeepLearning.AI

      تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات

      Skills you'll gain: Deep Learning, Tensorflow, Test Data, Data Processing, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Network Performance Management, Analysis, Machine Learning Algorithms, Machine Learning, Algorithms

      Beginner · Course · 1 - 4 Weeks

    • DeepLearning.AI

      Modèles de séquence

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

      Intermediate · Course · 1 - 4 Weeks

    • University of Michigan

      투자 기술의 혁신: AI

      Skills you'll gain: FinTech, Investments, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Analytics, Artificial Neural Networks, Portfolio Management, Machine Learning, Financial Analysis

      Beginner · Course · 1 - 4 Weeks

    • Packt

      Introduction to RNN and DNN

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Network Architecture

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Colorado Boulder

      컴퓨터 비전 분야에서의 딥 러닝 응용 사례

      Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics

      Intermediate · Course · 1 - 3 Months

    • Johns Hopkins University

      Mastering Neural Networks and Model Regularization

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Image Analysis, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision

      Intermediate · Course · 1 - 3 Months

    • Johns Hopkins University

      Machine Learning and Emerging Technologies in Cybersecurity

      Skills you'll gain: Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Incident Response, Applied Machine Learning, Network Security, Machine Learning Algorithms, Machine Learning, Unsupervised Learning, Supervised Learning, Deep Learning, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • Google Cloud

      Dikkat Mekanizması

      Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Text Mining

      Intermediate · Course · 1 - 4 Weeks

    Searches related to robotics

    robotics engineering & applications
    robotics process automation for smart manufacturing
    modern robotics, course 1: foundations of robot motion
    modern robotics: mechanics, planning, and control
    modern robotics, course 5: robot manipulation and wheeled mobile robots
    modern robotics, course 4: robot motion planning and control
    modern robotics, course 2: robot kinematics
    modern robotics, course 6: capstone project, mobile manipulation
    1…373839…40

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

    • 시퀀스 모델: DeepLearning.AI
    • Predicting Extreme Climate Behavior with Machine Learning : University of Colorado Boulder
    • Attention Mechanism - Português Brasileiro: Google Cloud
    • النماذج المتعاقبة: DeepLearning.AI
    • تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات : DeepLearning.AI
    • Modèles de séquence: DeepLearning.AI
    • 투자 기술의 혁신: AI: University of Michigan
    • Introduction to RNN and DNN: Packt
    • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
    • Mastering Neural Networks and Model Regularization: Johns Hopkins 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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