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Aerial Robotics Courses

Aerial robotics courses can help you learn drone design, flight dynamics, navigation systems, and sensor integration. You can build skills in programming for autonomous flight, data collection techniques, and real-time decision-making. Many courses introduce tools like MATLAB for simulations, ROS for robotic systems, and various drone platforms, allowing you to apply your skills in practical scenarios such as aerial mapping, surveillance, and environmental monitoring.


Popular Aerial Robotics Courses and Certifications


  • Status: Free Trial
    Free Trial
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    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Performance Tuning, Data Science, Data Processing, Data Analysis

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado System

    The data to decision path for infusion of AI in healthcare

    Skills you'll gain: Data Governance, Health Informatics, Machine Learning Algorithms, Analytics, Advanced Analytics, Data-Driven Decision-Making, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Health Information Management, Decision Support Systems, Business Analytics, Predictive Analytics, Applied Machine Learning, Health Technology, Machine Learning, Data Integration, Digital Transformation, Real Time Data, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Data Science con Python e R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Programming Principles, Data Management

    4.2
    Rating, 4.2 out of 5 stars
    ·
    54 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    Packt

    Recommender Systems

    Skills you'll gain: AI Personalization, Data Manipulation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Data Processing, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Neural Networks

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Integrated Development Environments

    Beginner · Course · 3 - 6 Months

  • Status: Preview
    Preview
    S

    SAS

    Using SAS Viya REST APIs with Python and R

    Skills you'll gain: SAS (Software), Data Analysis Software, R (Software), Advanced Analytics, R Programming, Big Data, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Statistical Programming, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Restful API, Computer Vision, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    15 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Deep-Dive into Tensorflow Activation Functions

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Classify Radio Signals with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Machine Learning Methods, Digital Communications, Deep Learning, Artificial Neural Networks, Computer Vision, Telecommunications

    3.7
    Rating, 3.7 out of 5 stars
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    12 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    Whizlabs

    NVIDIA: Fundamentals of NLP and Transformers

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Introduction to RNN and DNN

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Keras (Neural Network Library), Jupyter, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    로봇공학: 캡스톤 디자인

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

    Mixed · Course · 1 - 3 Months

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

  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • The data to decision path for infusion of AI in healthcare: University of Colorado System
  • Data Science con Python e R: Università di Napoli Federico II
  • Recommender Systems: Packt
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Using SAS Viya REST APIs with Python and R: SAS
  • Deep-Dive into Tensorflow Activation Functions: Coursera
  • Classify Radio Signals with PyTorch: Coursera
  • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
  • Introduction to RNN and DNN: Packt

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