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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

    • U

      University of California, Davis

      Python Basics: Automation and Bots

      Skills you'll gain: Programming Principles, Python Programming, Scripting, Data Cleansing, Automation, Computational Thinking, Computer Programming, Debugging, Application Programming Interface (API)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Mind and Machine

      Skills you'll gain: Problem Solving, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Artificial Neural Networks, Probability Distribution, Behavioral Economics, Logical Reasoning, Algorithms, Human Development, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Artificial Intelligence, Psychology, Test Case, Human Factors, Theoretical Computer Science, Human Machine Interfaces

      4.4
      Rating, 4.4 out of 5 stars
      ·
      359 reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Dartmouth College

      C Programming: Pointers and Memory Management - 4

      Skills you'll gain: C (Programming Language), Embedded Systems, Computer Engineering, System Programming, Operating Systems, Computer Programming Tools, Data Structures, Debugging, Linux

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Nacional de Colombia

      Ciencia de datos energéticos

      Skills you'll gain: Electrical Power, Electric Power Systems, Energy and Utilities, Time Series Analysis and Forecasting, Data Science, Statistical Methods, Data Modeling, Python Programming, Data Processing, Applied Machine Learning, Data Visualization Software, Regression Analysis, Artificial Neural Networks

      5
      Rating, 5 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Automation for Everyone: Tech Benefits Unleashed

      Skills you'll gain: Automation, Business Process Automation, Python Programming, Productivity Software, Process Optimization, Digital Transformation, Internet Of Things, Artificial Intelligence, Innovation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Dartmouth College

      Linux Basics: The Command Line Interface - 6

      Skills you'll gain: Command-Line Interface, Linux Commands, Linux, Embedded Software, Embedded Systems, Linux Servers, Computer Engineering, File Systems, Unix, Operating Systems, C (Programming Language), File Management, Computer Programming Tools, Performance Tuning, Open Source Technology, OS Process Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Español

      Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Data Quality, Applied Machine Learning, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Strategy, Supervised Learning, Machine Learning Algorithms, Data Analysis, Performance Tuning, Big Data, Data Pipelines, Artificial Neural Networks, Data Ethics, Cloud Computing, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      448 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Introduction to AI: Key Concepts and Applications

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Performance Metric, Strategic Leadership, Strategic Decision-Making, Data Quality, Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Algorithms, Artificial Neural Networks, Data Validation, Random Forest Algorithm, Resource Utilization, System Requirements

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 3 Months

    • 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

      DeepLearning.AI

      Réseaux neuronaux et Deep Learning

      Skills you'll gain: Deep Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Performance Tuning, Python Programming, NumPy, Linear Algebra, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Foundations and Core Concepts of PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Neural Networks, Python Programming, Regression Analysis, Performance Tuning, System Configuration, Development Environment, Software Installation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to robotics

    robotics engineering & applications
    robotics process automation for smart manufacturing
    modern robotics, course 1: foundations of robot motion
    modern robotics: mechanics, planning, and control
    modern robotics, course 5: robot manipulation and wheeled mobile robots
    modern robotics, course 2: robot kinematics
    modern robotics, course 4: robot motion planning and control
    modern robotics, course 6: capstone project, mobile manipulation
    1…181920…40

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

    • Python Basics: Automation and Bots: University of California, Davis
    • Mind and Machine: University of Colorado Boulder
    • C Programming: Pointers and Memory Management - 4: Dartmouth College
    • Ciencia de datos energéticos: Universidad Nacional de Colombia
    • Automation for Everyone: Tech Benefits Unleashed: Coursera Instructor Network
    • Linux Basics: The Command Line Interface - 6: Dartmouth College
    • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
    • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
    • Using Rapid Prototyping in the Engineering Design Process: Arizona State University
    • Réseaux neuronaux et Deep Learning: DeepLearning.AI

    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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