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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

    • SAS

      Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

      Skills you'll gain: Predictive Modeling, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Supervised Learning, Machine Learning Software, Applied Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Feature Engineering, Decision Tree Learning, Business Metrics, Data Analysis, Performance Measurement, Regression Analysis, Ethical Standards And Conduct, Deep Learning, Artificial Neural Networks

      4.9
      Rating, 4.9 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Computational Vision

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Science, Computational Thinking, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 4 Weeks

    • LearnQuest

      Capstone Project: Advanced AI for Drug Discovery

      Skills you'll gain: Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Deep Learning, Artificial Neural Networks, Pandas (Python Package), Verification And Validation, Unsupervised Learning, Jupyter, Python Programming, Regression Analysis, Machine Learning Algorithms, Exploratory Data Analysis, Machine Learning, Data Analysis

      1.9
      Rating, 1.9 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Google Cloud

      Transformer Models and BERT Model - Español

      Skills you'll gain: Natural Language Processing, Generative AI, Self Service Technologies, Artificial Intelligence

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New

      MathWorks

      Designing and Simulating Physical Models

      Skills you'll gain: Systems Integration, Engineering Design Process, Simulation and Simulation Software, Mathematical Modeling, Engineering Analysis, Matlab, Engineering Software, Engineering, Mechanical Engineering, Electrical and Computer Engineering

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      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

    • University of California San Diego

      Teaching Impacts of Technology: Data Collection, Use, and Privacy

      Skills you'll gain: Data Ethics, Big Data, Cybersecurity, Pedagogy, Data Security, Cryptography, Information Privacy, Encryption, Personally Identifiable Information, Computer Science, Web Servers, Machine Learning, Unsupervised Learning, Supervised Learning, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • Dartmouth College

      C Programming: Using Linux Tools and Libraries - 7

      Skills you'll gain: C (Programming Language), Linux, Embedded Systems, System Programming, Build Tools, Command-Line Interface, Operating Systems, Program Development, Software Installation, Development Environment, Software Development, File Systems, Computer Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      National Taiwan University

      機器學習技法 (Machine Learning Techniques)

      Skills you'll gain: Feature Engineering, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Machine Learning, Applied Machine Learning, Decision Tree Learning, Artificial Neural Networks, Dimensionality Reduction, Regression Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 3 - 6 Months

    • 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, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Data Processing, Data Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      92 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Universidad Austral

      Procesamiento de Lenguaje Natural

      Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Cleansing, Artificial Neural Networks, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Text Mining, Jupyter, Application Lifecycle Management, Pandas (Python Package), PyTorch (Machine Learning Library), Deep Learning, Application Development, Algorithms, Big Data

      4.1
      Rating, 4.1 out of 5 stars
      ·
      53 reviews

      Beginner · Specialization · 3 - 6 Months

    • ISAE-SUPAERO

      Foundation of Structural Dynamics

      Skills you'll gain: Mechanics, Structural Analysis, Engineering Analysis, Mechanical Engineering, Engineering, Vibrations, Mathematical Modeling, Physics, Differential Equations

      4.1
      Rating, 4.1 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 3 Months

    Robotics learners also search

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    1…242526…42

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

    • Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
    • Computational Vision: University of Colorado Boulder
    • Capstone Project: Advanced AI for Drug Discovery: LearnQuest
    • Transformer Models and BERT Model - Español: Google Cloud
    • Designing and Simulating Physical Models: MathWorks
    • Hyperparameter Tuning with Keras Tuner: Coursera Project Network
    • Teaching Impacts of Technology: Data Collection, Use, and Privacy: University of California San Diego
    • C Programming: Using Linux Tools and Libraries - 7: Dartmouth College
    • 機器學習技法 (Machine Learning Techniques): National Taiwan University
    • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: 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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