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    • Robotics

    Robotics Courses

    Robotics courses can help you learn how to design, build, and program intelligent machines that can perform tasks autonomously or with human guidance.

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    Find the Best Robotics Course for Your Goals

    • Status: New
      New
      L

      LearnKartS

      Introduction to AI and Machine Learning

      Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Natural Language Processing, Amazon Web Services, Supervised Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Artificial Neural Networks, Deep Learning, Data Processing, Data Wrangling

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Mastering Image Segmentation with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Data Processing, Debugging, Machine Learning Methods, Performance Tuning, Regression Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      J

      Johns Hopkins University

      Advanced Neural Network Techniques

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Data Ethics, Artificial Intelligence, Machine Learning, Markov Model, Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      N

      Northeastern University

      Machine Learning for Engineers: Algorithms and Applications

      Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Attention Mechanism - Italiano

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Transformer Models and BERT Model - Português Brasileiro

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

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      I

      IIT Roorkee

      Data Mining for Smart Cities

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Machine Learning Algorithms, Data Processing, Big Data, Data Cleansing, Data Visualization, Python Programming, Data-Driven Decision-Making, NumPy, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Attention Mechanism - Français

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

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      RNN Architecture and Sentiment Classification

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

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Recommender Systems Complete Course Beginner to Advanced

      Skills you'll gain: Time Series Analysis and Forecasting, Natural Language Processing, Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Predictive Analytics, Deep Learning, Machine Learning, NumPy, Pandas (Python Package)

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Deep Learning - Recurrent Neural Networks with TensorFlow

      Skills you'll gain: Time Series Analysis and Forecasting, Natural Language Processing, Tensorflow, Text Mining, Forecasting, Image Analysis, Deep Learning, Artificial Neural Networks, Predictive Modeling, Data Processing

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Deep Learning with Keras and Practical Applications

      Skills you'll gain: Keras (Neural Network Library), Image Analysis, Exploratory Data Analysis, Deep Learning, Data Processing, Artificial Neural Networks, Computer Vision, Applied Machine Learning, Predictive Modeling, Data Import/Export, Pandas (Python Package), Classification And Regression Tree (CART), Matplotlib, Performance Tuning

      Intermediate · Course · 3 - 6 Months

    Searches related to robotics

    robotics engineer
    robotics engineering & applications
    robotics and autonomous systems
    robotics process automation for smart manufacturing
    aerial robotics
    fundamentals of robotics & industrial automation
    how to get into robotics
    modern robotics, course 1: foundations of robot motion
    1…353637…40

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

    • Introduction to AI and Machine Learning: LearnKartS
    • Mastering Image Segmentation with PyTorch: Packt
    • Advanced Neural Network Techniques: Johns Hopkins University
    • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
    • Attention Mechanism - Italiano: Google Cloud
    • Transformer Models and BERT Model - Português Brasileiro: Google Cloud
    • Data Mining for Smart Cities: IIT Roorkee
    • Attention Mechanism - Français: Google Cloud
    • RNN Architecture and Sentiment Classification: Packt
    • Recommender Systems Complete Course Beginner to Advanced: Packt

    Why Learn Robotics?

    Robotics combines engineering, computer science, and artificial intelligence to create machines that sense, move, and interact with their environment. It plays a vital role in fields like manufacturing, healthcare, space exploration, and everyday automation. Learning robotics can help you build problem-solving skills and contribute to innovations that are reshaping the future of work and technology.

    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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