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。

Northwestern University
您将获得的技能: 线性代数, 应用数学, 机械, 数学建模, 自动化工程, 控制系统, 机器控制, 机器人, 扭矩(物理学), 机械工程
中级 · 课程 · 1-4 周

UNSW Sydney (The University of New South Wales)
您将获得的技能: 机器学习, 计算机视觉, 深度学习, 无监督学习, 概率与统计, 降维, 监督学习, 卷积神经网络, 机器学习方法, 人工神经网络, 分类算法, 功能工程, 地理空间信息与技术, 空间分析, 图像分析
中级 · 课程 · 3-6 个月

您将获得的技能: Embedded Systems, Robotics, Electronic Systems, PIC Microcontrollers, Automation, Control Systems, Medical Devices, Electric Power Systems, Hydraulics, Simulation and Simulation Software, Real Time Data
中级 · 课程 · 1-4 周

University at Buffalo
您将获得的技能: 风险管理框架, 故障分析, 机械设计, 安全标准, 危害分析, 自动化, 设备设计, 产品测试, 安全培训, 可靠性, 安全保障, 控制系统, 制造和生产, 机器人
初级 · 课程 · 1-4 周

您将获得的技能: AI Workflows, Artificial Neural Networks
中级 · 课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: Market Opportunities, AI Enablement, AI Product Strategy, Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Artificial Neural Networks, Data Science, Deep Learning, Machine Learning
初级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 机器学习, 数据科学, 深度学习, 人工智能, 人工智能产品战略, 数据伦理, 人工智能赋能, 负责任的人工智能, 人工神经网络
初级 · 课程 · 1-4 周

Packt
您将获得的技能: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering
中级 · 专项课程 · 1-3 个月

您将获得的技能: Robotic Process Automation, Automation, Manufacturing and Production, Manufacturing Processes, Internet Of Things, User Interface (UI), Systems Integration, Scalability, Development Environment, Artificial Intelligence
初级 · 课程 · 1-4 周

Northwestern University
您将获得的技能: Robotics, Machine Controls, Automation Engineering, Mathematical Modeling, Torque (Physics), Mechanics, Control Systems, Mathematical Software, Mechanical Engineering, Engineering, Simulation and Simulation Software, Engineering Analysis, Applied Mathematics
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Feature Engineering, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Tensorflow, Keras (Neural Network Library), Machine Learning, Artificial Neural Networks, Performance Tuning, Convolutional Neural Networks, Unsupervised Learning, Programming Principles
中级 · 课程 · 1-3 个月

您将获得的技能: PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), AI Workflows, Tensorflow, Dataflow, Performance Tuning, Data Preprocessing, Deep Learning, Dashboard, Data Pipelines, Grafana, Artificial Neural Networks, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation
中级 · 课程 · 1-3 个月