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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

    • L

      L&T EduTech

      Heavy Manufacturing

      Skills you'll gain: Equipment Design, Manufacturing Processes, Plant Operations and Management, Hydraulics, Manufacturing Operations, Chemical Engineering, Production Process, Process Engineering, Control Systems, Manufacturing Standards, Automation, Internet Of Things, Mechanical Engineering, Quality Assurance, Mechanical Design, Engineering Practices, Technical Standard, Maintenance, Repair, and Facility Services, Thermal Management, Construction Inspection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      21 reviews

      Intermediate · Specialization · 1 - 3 Months

    • P

      Packt

      Arduino For Beginners - 2023 Complete Course

      Skills you'll gain: Electronic Components, Programming Principles, Electronics, Display Devices, Interactive Design, Computer Programming, Embedded Systems, Development Environment, Simulation and Simulation Software, Environmental Monitoring, Digital Communications, Debugging, Data Storage, Real Time Data

      Beginner · Course · 3 - 6 Months

    • E

      Edureka

      Machine Learning and NLP Basics

      Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Neural Networks, Unstructured Data

      3.4
      Rating, 3.4 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Français

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Tensorflow, Data Analysis, Keras (Neural Network Library), Google Cloud Platform, Applied Machine Learning, Data Quality, Data Cleansing, Data Strategy, Supervised Learning, Machine Learning, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Dataflow, Deep Learning, Machine Learning Algorithms, Data Processing, Artificial Neural Networks

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      로봇공학: 캡스톤 디자인

      Skills you'll gain: Control Systems, Automation, Artificial Intelligence, Matlab, Embedded Software, Simulations, Computer Vision, Mathematical Modeling, Mechanics, Python Programming, Algorithms, Electronic Components

      Mixed · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      الشبكات العصبية والتعلم العميق

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Applied Machine Learning, Machine Learning, Network Architecture, Supervised Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      CertNexus

      Build Decision Trees, SVMs, and Artificial Neural Networks

      Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Statistical Machine Learning, Supervised Learning, Computer Vision, Regression Analysis, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistical Learning for Data Science

      Skills you'll gain: Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Regression Analysis, Classification And Regression Tree (CART), Statistical Methods, Decision Tree Learning, Data Science, Predictive Modeling, Statistical Analysis, Artificial Neural Networks, R Programming, Supervised Learning, Probability & Statistics, Advanced Analytics, Dimensionality Reduction, Random Forest Algorithm, Machine Learning, Sampling (Statistics)

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      17 reviews

      Intermediate · Specialization · 3 - 6 Months

    • S

      SAS

      Using SAS Viya REST APIs with Python and R

      Skills you'll gain: SAS (Software), Data Analysis Software, Advanced Analytics, R Programming, Big Data, Image Analysis, Data Science, Time Series Analysis and Forecasting, Natural Language Processing, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Application Programming Interface (API), Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Mixed · Course · 1 - 3 Months

    • I

      ISAE-SUPAERO

      Foundation of Structural Dynamics

      Skills you'll gain: Structural Engineering, Mechanics, Engineering Analysis, Vibrations, Mathematical Modeling, Simulation and Simulation Software, Control Systems, Physics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Transformer Models and BERT Model - 日本語版

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

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Medical Insurance Premium Prediction with Machine Learning

      Skills you'll gain: Data Visualization, Keras (Neural Network Library), Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Processing, Predictive Analytics, Data Manipulation, Data Cleansing, Machine Learning, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to robotics

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    modern robotics, course 1: foundations of robot motion
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    1…252627…40

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

    • Heavy Manufacturing: L&T EduTech
    • Arduino For Beginners - 2023 Complete Course: Packt
    • Machine Learning and NLP Basics: Edureka
    • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
    • 로봇공학: 캡스톤 디자인: University of Pennsylvania
    • الشبكات العصبية والتعلم العميق: DeepLearning.AI
    • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
    • Statistical Learning for Data Science: University of Colorado Boulder
    • Using SAS Viya REST APIs with Python and R: SAS
    • Foundation of Structural Dynamics: ISAE-SUPAERO

    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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