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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

    • G

      Google Cloud

      Encoder-Decoder Architecture - Deutsch

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

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

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

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Processing, Data Cleansing, Data Transformation, Scalability, Feature Engineering, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Applied Machine Learning, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Vector Search and Embeddings - Bahasa Indonesia

      Skills you'll gain: Visualization (Computer Graphics), Text Mining, Google Cloud Platform, Cloud API, Application Programming Interface (API), Artificial Neural Networks, Machine Learning Methods, Cloud Computing, Cloud Services

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 3 of our most popular robotics courses

    • Encoder-Decoder Architecture - Deutsch: Google Cloud
    • Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
    • Vector Search and Embeddings - 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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