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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

    • P

      Packt

      Deep Learning: Convolutional Neural Networks with TensorFlow

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Machine Learning Methods, Text Mining, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Advanced RNN Concepts and Projects

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Data Analysis

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Attention Mechanism - Español

      Skills you'll gain: Applied Machine Learning, Artificial Neural Networks, Text Mining, Deep Learning, Machine Learning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Encoder-Decoder Architecture - Español

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

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Transformer Models and BERT Model - 한국어

      Skills you'll gain: Natural Language Processing, Generative AI, Large Language Modeling, Artificial Neural Networks, Artificial Intelligence

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Transformer Models and BERT Model - 繁體中文

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Artificial Neural Networks

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Encoder-Decoder Architecture - 한국어

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

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Encoder-Decoder Architecture - Bahasa Indonesia

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

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Attention Mechanism - 简体中文

      Skills you'll gain: Machine Learning Methods, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Text Mining, Performance Tuning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      Universidades Anáhuac

      Deep Learning: Del Concepto a la Práctica

      Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Artificial Intelligence, Python Programming

      Beginner · Course · 1 - 4 Weeks

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

    • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
    • Advanced RNN Concepts and Projects: Packt
    • Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
    • Attention Mechanism - Español: Google Cloud
    • Encoder-Decoder Architecture - Español: Google Cloud
    • Transformer Models and BERT Model - 한국어: Google Cloud
    • Transformer Models and BERT Model - 繁體中文: Google Cloud
    • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
    • Encoder-Decoder Architecture - 한국어: Google Cloud
    • Encoder-Decoder Architecture - Bahasa Indonesia: Google Cloud

    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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