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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

    • Packt

      Prerequisites and Advanced Machine Learning for NLP

      Skills you'll gain: Matplotlib, Pandas (Python Package), Data Visualization, NumPy, Linear Algebra, Deep Learning, Natural Language Processing, Data Manipulation, Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Data Processing, Artificial Neural Networks, Data Structures, Regression Analysis

      Intermediate · Course · 1 - 3 Months

    • Packt

      Building Recommender Systems with Machine Learning and AI

      Skills you'll gain: Scalability, Apache Spark, Deep Learning, AWS SageMaker, Predictive Modeling, Python Programming, Applied Machine Learning, Dimensionality Reduction, Artificial Neural Networks, Feature Engineering, Artificial Intelligence, Machine Learning Algorithms, Performance Tuning

      Intermediate · Course · 3 - 6 Months

    • Arizona State University

      Introduction to Machine Learning with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Computer Vision, Predictive Modeling, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Northwestern University

      현대 로봇공학, 강좌 3: 로봇 동역학

      Skills you'll gain: Machine Controls, Mathematical Software, Mathematical Modeling, Computer Programming Tools, Mechanical Engineering, Engineering Calculations, Software Development Tools, Numerical Analysis, Mechanics, Torque (Physics), Engineering Analysis, Algorithms, Engineering, Simulations, Applied Mathematics, Differential Equations, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Coursera Project Network

      Deep Learning with PyTorch : GradCAM

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Coursera Project Network

      Interpretable machine learning applications: Part 3

      Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Mortgage Loans

      4.5
      Rating, 4.5 out of 5 stars
      ·
      20 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • H2O.ai

      H2O ai Large Language Models (LLMs) - Level 1

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Natural Language Processing, Machine Learning

      3.5
      Rating, 3.5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Fractal Analytics

      Coding with Generative AI

      Skills you'll gain: Generative AI, Object Oriented Programming (OOP), Artificial Neural Networks, Computer Programming, Deep Learning, Artificial Intelligence, Debugging, Python Programming, Semantic Web, Natural Language Processing

      4.1
      Rating, 4.1 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Glasgow

      Explainable deep learning models for healthcare - CDSS 3

      Skills you'll gain: Deep Learning, Classification And Regression Tree (CART), Applied Machine Learning, Image Analysis, Time Series Analysis and Forecasting, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Artificial Neural Networks, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Pennsylvania

      로봇공학: 캡스톤 디자인

      Skills you'll gain: Robotic Process Automation, Automation, Artificial Intelligence, Matlab, Simulation and Simulation Software, Control Panels, Engineering, Computer Vision, Mathematical Modeling, Embedded Systems, Python Programming, Algorithms, Estimation, Differential Equations, Linear Algebra

      Mixed · Course · 1 - 3 Months

    • Universidad Austral

      Introducción al Aprendizaje Profundo

      Skills you'll gain: Supervised Learning, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Computational Logic, Linear Algebra, Regression Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New

      KodeKloud

      Introduction to OpenAI

      Skills you'll gain: OpenAI, Data Ethics, Artificial Intelligence, Generative AI, Image Analysis, Natural Language Processing, Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning, Application Programming Interface (API), Reinforcement Learning, Text Mining, User Accounts, Scalability

      Beginner · Course · 1 - 3 Months

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

    • Prerequisites and Advanced Machine Learning for NLP: Packt
    • Building Recommender Systems with Machine Learning and AI: Packt
    • Introduction to Machine Learning with Python: Arizona State University
    • 현대 로봇공학, 강좌 3: 로봇 동역학: Northwestern University
    • Deep Learning with PyTorch : GradCAM: Coursera Project Network
    • Interpretable machine learning applications: Part 3: Coursera Project Network
    • H2O ai Large Language Models (LLMs) - Level 1: H2O.ai
    • Coding with Generative AI: Fractal Analytics
    • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
    • 로봇공학: 캡스톤 디자인: University of Pennsylvania

    Skills you can learn in Software Development

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    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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