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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: Free
      Free
      G

      Google Cloud

      Transformer Models and BERT Model - Español

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative AI, Self Service Technologies

      Advanced · Course · 1 - 4 Weeks

    • A

      Arizona State University

      Using Rapid Prototyping in the Engineering Design Process

      Skills you'll gain: Engineering Design Process, Engineering Drawings, Prototyping, Drafting and Engineering Design, Mechanical Drawings, Computer-Aided Design, Technical Drawing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Interpretable Machine Learning

      Skills you'll gain: Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Machine Learning, Applied Machine Learning, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Hyperparameter Tuning with Keras Tuner

      Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      N

      National Taiwan University

      機器學習技法 (Machine Learning Techniques)

      Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Machine Learning, Applied Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Regression Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 3 - 6 Months

    • G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

      Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Data Strategy, MLOps (Machine Learning Operations), Machine Learning Algorithms, Supervised Learning, Application Deployment, Data Analysis, Deep Learning, Artificial Neural Networks, Predictive Modeling, Data Processing, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      92 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      Universidad Austral

      Procesamiento de Lenguaje Natural

      Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Cleansing, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, Text Mining, Jupyter, Application Lifecycle Management, Pandas (Python Package), Systems Architecture, Analysis, Deep Learning, Application Development, Scripting

      4.1
      Rating, 4.1 out of 5 stars
      ·
      53 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Packt

      Building and Training Neural Networks with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Deep Learning with Real-World Projects

      Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Machine Learning Methods

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Siamese Network

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Attention Mechanism

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

      4.2
      Rating, 4.2 out of 5 stars
      ·
      48 reviews

      Advanced · Course · 1 - 4 Weeks

    • E

      Edureka

      Generative AI Foundations

      Skills you'll gain: Generative AI, ChatGPT, Large Language Modeling, Prompt Engineering, Data Ethics, Deep Learning, Natural Language Processing, Artificial Neural Networks, Python Programming, Unsupervised Learning

      4
      Rating, 4 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…242526…40

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

    • Transformer Models and BERT Model - Español: Google Cloud
    • Using Rapid Prototyping in the Engineering Design Process: Arizona State University
    • Interpretable Machine Learning: Duke University
    • Hyperparameter Tuning with Keras Tuner: Coursera Project Network
    • 機器學習技法 (Machine Learning Techniques): National Taiwan University
    • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
    • Procesamiento de Lenguaje Natural: Universidad Austral
    • Building and Training Neural Networks with PyTorch: Packt
    • Deep Learning with Real-World Projects: Packt
    • Deep Learning with PyTorch : Siamese Network: Coursera Project Network

    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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