空中机器人课程
空中机器人课程可以帮助您学习无人机设计、飞行动力学、导航系统和传感器集成。您可以掌握自主飞行编程、数据收集技术和实时决策的技能。许多课程都会介绍一些工具，如用于模拟的 MATLAB、用于机器人系统的 ROS 以及各种无人机平台，让您能够将自己的技能应用到实际场景中，如空中测绘、监控和环境监测。
热门空中机器人课程和认证
状态：预览Northeastern University
您将获得的技能: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving
状态：预览Northeastern University
您将获得的技能: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks
状态：新状态：免费试用您将获得的技能: Video Production, Video Editing, Videography, Photo/Video Production and Technology, Cinematography, Storytelling
状态：免费试用L&T EduTech
您将获得的技能: 人工智能, 物联网, 模型评估, Python 程序设计, 深度学习, 人工神经网络, 强化学习, 机器学习, 卷积神经网络, 无监督学习, 自然语言处理, 数据预处理, 图像分析
状态：免费试用Università di Napoli Federico II
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Scikit Learn (Machine Learning Library), Model Evaluation
状态：预览DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Network Architecture
状态：免费试用Simplilearn
您将获得的技能: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming
状态：预览Universidad de los Andes
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Computer Vision, Network Architecture, Natural Language Processing
Coursera
您将获得的技能: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Machine Learning, Data Preprocessing, Model Evaluation
状态：免费DeepLearning.AI
您将获得的技能: Model Deployment, Performance Testing, Android Development, Transfer Learning, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Hardware Architecture, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence
您将获得的技能: Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming
状态：免费试用Coursera
您将获得的技能: 商业营销, 大型语言模型, 趋势分析, 计划发展, 人工神经网络, ChatGPT, 实时数据, 生成式人工智能, LLM 申请, OpenAI 应用程序接口, 企业战略, 人工智能和机器学习（AI/ML）, 技术路线图, 分析
总之，以下是 10 最受欢迎的 aerial robotics 课程
- Machine Learning for Engineers: Algorithms and Applications: Northeastern University
- Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
- Advanced Videography: Commercial Filmmaking Essentials: Skillshare
- 边缘计算的人工智能原理: L&T EduTech
- Python per la Data Science: Università di Napoli Federico II
- Сверточные нейронные сети: DeepLearning.AI
- AI & Deep Learning Concepts and Applications: Simplilearn
- Introducción al deep learning contemporáneo: Universidad de los Andes
- Curso Completo de Deep Learning: Coursera
- Introduction to On-Device AI: DeepLearning.AI
