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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
    L

    L&T EduTech

    Industrial Applications of AI

    Skills you'll gain: Machine Learning Algorithms, Computer Vision, Applied Machine Learning, Image Analysis, Civil Engineering, Artificial Intelligence, Electrical Substation, Machine Learning, Computer Engineering, Tensorflow, Engineering, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electric Power Systems, Electrical Engineering, Oil and Gas, Mechanical Engineering, Keras (Neural Network Library), Predictive Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    F

    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Generative AI, Generative Model Architectures, Software Architecture, Systems Architecture, Machine Learning Methods, PyTorch (Machine Learning Library), Large Language Modeling, Image Analysis, Performance Tuning, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative AI, Generative Model Architectures, Deep Learning, Tensorflow, Applied Machine Learning, Artificial Neural Networks, Unsupervised Learning, Image Quality

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Deep Learning, Applied Machine Learning, Image Analysis, Time Series Analysis and Forecasting, Machine Learning, Machine Learning Algorithms, Responsible AI, Artificial Neural Networks, Data Processing, Healthcare Ethics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Imperial College London

    TensorFlow 2 시작하기

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Data Validation, Predictive Modeling, Supervised Learning, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Jupyter

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Español

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Data Cleansing, Application Deployment, Data Transformation, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    SAS

    머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

    Skills you'll gain: Machine Learning, Data Ethics, Responsible AI, Technical Communication, Predictive Analytics, Supervised Learning, Artificial Intelligence, Data Analysis, Decision Tree Learning, Regression Analysis, Statistical Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Classify Images with TensorFlow Convolutional Neural Networks

    Skills you'll gain: Tensorflow, Data Collection, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Google Cloud Platform, Cloud Computing, Scientific Visualization

    Beginner · Project · Less Than 2 Hours

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

  • Industrial Applications of AI: L&T EduTech
  • How to Build a Diffusion Model - An Introduction: Fractal Analytics
  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • Learning Deep Learning: Unit 1: Pearson
  • TensorFlow 2 시작하기: Imperial College London
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Español: Google Cloud
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt

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