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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

    • 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

    • H

      H2O.ai

      Large Language Models

      Skills you'll gain: Large Language Modeling, Collaborative Software, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Machine Learning Methods, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Business Logic, Natural Language Processing, Applied Machine Learning, AI Personalization, MLOps (Machine Learning Operations), Data Processing, Data Transformation, Verification And Validation

      3.6
      Rating, 3.6 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 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

    • 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, Text Mining, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Application Programming Interface (API), Computer Vision, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Mixed · 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, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Inference, Dimensionality Reduction, Advanced Analytics, Random Forest Algorithm, Machine Learning, Sampling (Statistics), Machine Learning Algorithms

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      17 reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Packt

      Prerequisites and Advanced Machine Learning for NLP

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

      Intermediate · Course · 1 - 3 Months

    • A

      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, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      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

    • U

      University of California, Davis

      Digital Technology and Social Change

      Skills you'll gain: Digital Transformation, Innovation, Digital Communications, Data Ethics, Machine Learning, Business Transformation, Emerging Technologies, Technology Strategies, OpenAI, Data Storage, Artificial Intelligence, Social Studies, Media and Communications, Digital Assets, Computer Science, Digital Marketing, ChatGPT, Sociology, Social Sciences, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Vector Search and Embeddings

      Skills you'll gain: Large Language Modeling, Text Mining, Google Cloud Platform, Cloud API, Artificial Neural Networks

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      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, AI Personalization, Computer Science, Web Applications, Web Servers, Machine Learning, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • C

      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, Financial Forecasting, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Commercial Lending, Decision Making, Mortgage Loans, Exploratory Data Analysis, Consumer Lending

      4.5
      Rating, 4.5 out of 5 stars
      ·
      20 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    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 4: robot motion planning and control
    modern robotics, course 6: capstone project, mobile manipulation
    modern robotics, course 2: robot kinematics
    1…272829…40

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

    • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
    • Large Language Models: H2O.ai
    • الشبكات العصبية والتعلم العميق: DeepLearning.AI
    • Using SAS Viya REST APIs with Python and R: SAS
    • Statistical Learning for Data Science: University of Colorado Boulder
    • Prerequisites and Advanced Machine Learning for NLP: Packt
    • Introduction to Machine Learning with Python: Arizona State University
    • Deep Learning with PyTorch : GradCAM: Coursera Project Network
    • Digital Technology and Social Change: University of California, Davis
    • Vector Search and Embeddings: Google Cloud

    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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