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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

    • P

      Packt

      Advanced Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Jupyter, Matplotlib, NumPy

      Advanced · Course · 3 - 6 Months

    • P

      Packt

      Advanced Machine Learning and Deep Learning

      Skills you'll gain: Deep Learning, Shiny (R Package), Applied Machine Learning, Image Analysis, PyTorch (Machine Learning Library), Predictive Modeling, Artificial Neural Networks, Machine Learning Methods, Statistical Machine Learning, Tensorflow, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Dimensionality Reduction, Unsupervised Learning, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing

      Advanced · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      TensorFlow を使った畳み込みニューラルネットワーク

      Skills you'll gain: Tensorflow, Image Analysis, Computer Vision, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Supervised Learning, Scalability, Application Frameworks

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      W

      Whizlabs

      NVIDIA: Fundamentals of NLP and Transformers

      Skills you'll gain: Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Data Processing, Machine Learning Methods, Data Cleansing

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Deep Neural Network for Beginners Using Python

      Skills you'll gain: Deep Learning, Data Processing, Artificial Neural Networks, NumPy, Machine Learning Methods, Applied Machine Learning, Data Transformation, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Machine Learning Algorithms, Algorithms, Linear Algebra, Probability & Statistics

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      L

      LearnKartS

      AWS AI Practitioner

      Skills you'll gain: Prompt Engineering, Large Language Modeling, AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Computer Vision, AWS Identity and Access Management (IAM), Natural Language Processing, Amazon Web Services, Supervised Learning, Data Governance, OpenAI, Machine Learning Algorithms, Identity and Access Management, Feature Engineering, Machine Learning, Artificial Neural Networks, ChatGPT, Data Ethics, Data Management

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      E

      Edureka

      Mastering AI: Neural Nets, Vision System, Speech Recognition

      Skills you'll gain: Computer Vision, Deep Learning, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Matplotlib, Probability & Statistics, Image Analysis, Regression Analysis, Machine Learning, Plotly, Scikit Learn (Machine Learning Library), Statistical Analysis, Statistical Methods, Natural Language Processing, Artificial Neural Networks, Visualization (Computer Graphics), Artificial Intelligence

      Intermediate · Specialization · 3 - 6 Months

    • F

      Fundação Instituto de Administração

      Engajamento, Conversão e o Consumidor

      Skills you'll gain: Marketing Analytics, Sales Strategy, Customer Analysis, Marketing Strategies, Data Visualization Software, Customer Engagement, Data Analysis, Consumer Behaviour, Regression Analysis, Performance Measurement, Market Research, Statistical Analysis, Target Market, Pandas (Python Package), Predictive Modeling, Decision Tree Learning, Artificial Neural Networks

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Advanced CNNs, Transfer Learning, and Recurrent Networks

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Image Analysis, Applied Machine Learning, Tensorflow, Computer Vision, Natural Language Processing, Medical Imaging, Performance Tuning

      Advanced · Course · 1 - 3 Months

    • P

      Packt

      Foundations of Deep Learning and Neural Networks

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Tensorflow, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Network Architecture, Linear Algebra

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      E

      Edureka

      Practical Deep Learning with Python

      Skills you'll gain: Deep Learning, Applied Machine Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Natural Language Processing, Supervised Learning, Network Architecture, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Deep Learning - Crash Course 2023

      Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), NumPy, Matplotlib, Python Programming, Artificial Neural Networks, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Network Model, Data Manipulation, Regression Analysis

      Beginner · Course · 3 - 6 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 4: robot motion planning and control
    modern robotics, course 2: robot kinematics
    modern robotics, course 6: capstone project, mobile manipulation
    1…343536…40

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

    • Advanced Generative Adversarial Networks (GANs): Packt
    • Advanced Machine Learning and Deep Learning: Packt
    • TensorFlow を使った畳み込みニューラルネットワーク: DeepLearning.AI
    • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
    • Deep Neural Network for Beginners Using Python: Packt
    • AWS AI Practitioner: LearnKartS
    • Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka
    • Engajamento, Conversão e o Consumidor: Fundação Instituto de Administração
    • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
    • Foundations of Deep Learning and Neural Networks: Packt

    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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