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Autonomous Robotics Courses

Autonomous robotics courses can help you learn programming for robot control, sensor integration, and navigation algorithms. You can build skills in machine learning applications, computer vision techniques, and real-time data processing. Many courses introduce tools like ROS (Robot Operating System), MATLAB, and Python, that support developing and testing robotic systems. You'll also explore key topics such as path planning, localization, and robot perception, equipping you with practical knowledge to design and implement autonomous solutions.


Popular Autonomous Robotics Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Autonomous Vehicles and Robotics

    Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Control Systems, Robotics, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Reinforcement Learning, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    51 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Robotics with Webots

    Skills you'll gain: Robotics, Artificial Intelligence, Planning, Automation, Data Mapping, Graph Theory, Algorithms, Simulation and Simulation Software, Control Systems, Real-Time Operating Systems, Computer Programming, Engineering, Computer Science, Computer Vision, Python Programming, Data Structures, Simulations, Linear Algebra, Design

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    67 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Autonomous Vehicle Engineering

    Skills you'll gain: NoSQL, Control Systems, Apache Hadoop, Apache Hive, Big Data, Simulation and Simulation Software, Mechanical Design, Database Systems, Artificial Intelligence, Mechanical Engineering, Computer Vision, Laboratory Experience, Databases, Systems Architecture, Distributed Computing, Equipment Design, Global Positioning Systems, Business Intelligence, Robotics, Automation

    4.3
    Rating, 4.3 out of 5 stars
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    78 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    N

    Northwestern University

    Modern Robotics: Mechanics, Planning, and Control

    Skills you'll gain: Robotics, Machine Controls, Control Systems, Automation Engineering, Mathematical Modeling, Mathematical Software, Simulation and Simulation Software, Engineering Calculations, Engineering, Mechanics, Mechanical Engineering, Artificial Intelligence, Vibrations, Applied Mathematics, Engineering Analysis, Automation, Virtual Environment, Torque (Physics), Graph Theory, Matlab

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    L

    L&T EduTech

    Collaborative Robotics in Industry

    Skills you'll gain: Robotics, Programmable Logic Controllers, Electrical Systems, Automation Engineering, Machine Controls, Hydraulics, Control Systems, Automation, Simulation and Simulation Software, Internet Of Things, Manufacturing Processes, Mechanical Engineering, Real Time Data, Human Machine Interfaces, Industrial Engineering, Hardware Troubleshooting, Image Analysis, Matlab, Equipment Design, Computer Vision

    4.4
    Rating, 4.4 out of 5 stars
    ·
    147 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器人學一 (Robotics (1))

    Skills you'll gain: Robotics, Machine Controls, Mechanics, Automation Engineering, Linear Algebra, Engineering Calculations, Applied Mathematics, Control Systems, Mathematical Modeling, Spatial Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    64 reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Autonomous AI Agent Systems and Orchestration

    Skills you'll gain: LangGraph, AI Orchestration, Model Deployment, Retrieval-Augmented Generation, AI Workflows, Generative AI Agents, CrewAI, Agentic Workflows, LangChain, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Agentic systems, OpenAI, Systems Integration, Tool Calling, Google Gemini, Workflow Management, Automation, Prompt Engineering, Responsible AI

    Intermediate · Specialization · 1 - 3 Months

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Network Routing, Estimation, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Building Autonomous AI Agents

    Skills you'll gain: LangGraph, Retrieval-Augmented Generation, Generative AI Agents, AI Orchestration, CrewAI, Agentic Workflows, AI Workflows, Agentic systems, LangChain, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Systems Integration, Tool Calling, Responsible AI, Large Language Modeling, Prompt Engineering, Human Factors (Security), Data Ethics, Context Management, Restful API

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California, Berkeley

    Master of Advanced Study in Engineering

    Skills you'll gain: User Research, Medical Imaging, File I/O, Materials science, Exploratory Data Analysis, Java Programming, Semiconductors, Medical Devices, Finite Element Methods, Teamwork, Energy and Utilities, Control Systems, Mechanics, Robotics, Environmental Engineering, Radiation Protection, Sustainable Engineering, Structural Engineering, Vibrations, Linear Algebra

    Earn a degree

    Degree · 1 - 4 Years

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Building Multi-Agent Systems using LangGraph and Autogen

    Skills you'll gain: AI Workflows, AI Orchestration, Agentic Workflows, Model Deployment, AI Security, Decision Making

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master AI Tools & Robotics: Analyze, Automate, Innovate

    Skills you'll gain: Robotic Process Automation, Customer experience improvement, ChatGPT, Data Science, Machine Learning Methods

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

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

  • AI for Autonomous Vehicles and Robotics: University of Michigan
  • Introduction to Robotics with Webots: University of Colorado Boulder
  • Autonomous Vehicle Engineering: Università di Napoli Federico II
  • Modern Robotics: Mechanics, Planning, and Control: Northwestern University
  • Collaborative Robotics in Industry: L&T EduTech
  • 機器人學一 (Robotics (1)): National Taiwan University
  • Autonomous AI Agent Systems and Orchestration: Edureka
  • Self-Driving Cars: University of Toronto
  • Building Autonomous AI Agents: Edureka
  • Master of Advanced Study in Engineering: University of California, Berkeley

Frequently Asked Questions about Autonomous Robotics

Autonomous robotics refers to the design and development of robots that can operate independently without human intervention. This field is crucial as it enables machines to perform tasks in environments that may be hazardous or inaccessible to humans, such as disaster response, space exploration, and industrial automation. The importance of autonomous robotics lies in its potential to enhance efficiency, reduce human error, and improve safety across various sectors.‎

A variety of job opportunities exist in the field of autonomous robotics. Positions may include robotics engineer, automation technician, software developer, and systems analyst. Additionally, roles in research and development, project management, and technical support are also available. As industries increasingly adopt automation technologies, the demand for skilled professionals in autonomous robotics continues to grow.‎

To excel in autonomous robotics, you should focus on acquiring a blend of technical and soft skills. Key technical skills include programming (Python, C++, or ROS), machine learning, computer vision, and control systems. Understanding sensors and actuators, as well as having a solid foundation in mathematics and physics, is also essential. Soft skills such as problem-solving, teamwork, and effective communication will further enhance your capabilities in this field.‎

There are several excellent online courses available for those interested in autonomous robotics. Notable options include the Autonomous Vehicle Engineering Specialization and the Foundations of Autonomous Systems Specialization. These courses cover essential concepts and practical applications, providing a comprehensive learning experience.‎

Yes. You can start learning autonomous robotics on Coursera for free in two ways:

  1. Preview the first module of many autonomous robotics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in autonomous robotics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn autonomous robotics, start by identifying your current skill level and interests. Begin with foundational courses that cover basic robotics concepts, then progress to more specialized topics. Engage in hands-on projects to apply your knowledge practically. Joining online communities or forums can also provide support and resources as you navigate your learning journey.‎

Typical topics covered in autonomous robotics courses include robot design and kinematics, sensor integration, machine learning algorithms, and control systems. Courses may also explore specific applications such as autonomous vehicles, drones, and industrial robots. Understanding the ethical implications and safety considerations in robotics is increasingly becoming a vital part of the curriculum.‎

For training and upskilling employees in autonomous robotics, the Collaborative Robotics in Industry Specialization is particularly beneficial. This specialization focuses on practical applications and collaboration between humans and robots, making it ideal for workforce development in various industries.‎

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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