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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: New
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    Status: Free Trial
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    Packt

    Advanced Machine Learning, Big Data, and Deep Learning

    Skills you'll gain: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning

    Advanced · Course · 1 - 3 Months

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    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Neural Networks, Deep Learning, Bayesian Network, Mathematical Modeling, Computer Vision, Estimation, Applied Mathematics, Machine Learning, Network Architecture, Probability Distribution, Calculus

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    Universidad de los Andes

    Visión artificial contemporánea

    Skills you'll gain: Computer Vision, Image Analysis, Generative AI, Deep Learning, Augmented and Virtual Reality (AR/VR), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Unsupervised Learning

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    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
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    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    DeepLearning.AI

    Последовательные модели

    Skills you'll gain: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    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

  • Status: Free Trial
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    Packt

    Advanced RNN Concepts and Projects

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Data Analysis, Data Processing

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Simplilearn

    Introduction to Long Short Term Memory (LSTM) Training

    Skills you'll gain: Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    H2O.ai

    H2O ai Large Language Models (LLMs) - Level 3

    Skills you'll gain: Generative AI, LLM Application, Prompt Engineering, Training Programs, Large Language Modeling, Program Evaluation, Applied Machine Learning, Data Processing, Benchmarking, Artificial Neural Networks

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Predicting Extreme Climate Behavior with Machine Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Data Science, Classification And Regression Tree (CART), Statistical Analysis, Predictive Modeling, Artificial Neural Networks, Data Processing, Feature Engineering

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Machine Learning e Data Mining in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Manipulation, Data Modeling

    4.9
    Rating, 4.9 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Advanced Machine Learning, Big Data, and Deep Learning: Packt
  • Generative AI: Foundations and Concepts: Northeastern University
  • Visión artificial contemporánea: Universidad de los Andes
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • Последовательные модели: DeepLearning.AI
  • 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정: SAS
  • Advanced RNN Concepts and Projects: Packt
  • Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
  • H2O ai Large Language Models (LLMs) - Level 3: H2O.ai

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