自主机器人课程
自主机器人课程可以帮助您学习机器人控制编程、传感器集成和导航算法。您可以掌握机器学习应用、计算机视觉技术和实时数据处理方面的技能。许多课程都会介绍 ROS（机器人操作系统）、MATLAB 和 Python 等工具，这些工具支持开发和测试机器人系统。您还将探索路径规划、定位和机器人感知等关键主题，掌握设计和实施自主解决方案的实用知识。
热门自主机器人课程和认证
状态：免费试用Duke University
您将获得的技能: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks
状态：免费试用您将获得的技能: Feature Engineering, Responsible AI, Tensorflow, Data Preprocessing, Keras (Neural Network Library), Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Logistic Regression, Data Pipelines, Data Strategy, Supervised Learning, Model Evaluation, Model Deployment, Dataflow, Performance Tuning, Artificial Neural Networks, MLOps (Machine Learning Operations)
状态：新状态：预览AI CERTs
您将获得的技能: Model Evaluation, Data Analysis, Applied Machine Learning, Environmental Regulations, Environment and Resource Management, Geospatial Information and Technology, Computer Vision, Environment Health And Safety, Environment, Operations, Operations Management, Workforce Development
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 卷积神经网络, 机器学习, 模型评估, 无监督学习, 健康信息学, 健康信息管理, 监督学习, 深度学习, 预测建模, 应用机器学习, 计划发展, 医疗保健, 人工神经网络
状态：预览Sungkyunkwan University
您将获得的技能: Recurrent Neural Networks (RNNs), Image Analysis, Convolutional Neural Networks, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Machine Learning
状态：预览Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: Differential Equations, Applied Mathematics, Advanced Mathematics, Linear Algebra, Calculus, Engineering Analysis, Mathematical Modeling
状态：免费试用您将获得的技能: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
状态：预览Northeastern University
您将获得的技能: 负责任的人工智能, 心理健康疾病与障碍, 管理, 人工智能, 自然语言处理, 心理健康, 医疗保健伦理, 临床研究伦理, 风险分析, 数据安全, 风险缓解, 数据伦理, 精神病学, 心理健康咨询, 健康公平, 健康的社会决定因素
状态：免费试用LearnQuest
您将获得的技能: 机器学习, 分类算法, 模型评估, 回归分析, Scikit-learn （机器学习库）, 张力流, Keras（神经网络库）, 深度学习, 决策树学习, 随机森林算法, 人工神经网络, Python 程序设计
状态：预览Copenhagen Business School
您将获得的技能: 人机交互, 理论计算机科学, 大型语言模型, 自然语言处理, 人工智能, 统计分析, 计算思维, 社会影响, 人类学习, 人工神经网络
状态：免费试用Johns Hopkins University
您将获得的技能: 卷积神经网络, 数值分析, 机器学习, 数据科学, 线性代数, 深度学习, 数字信号处理, 人工神经网络, 性能调整, 数据结构, 数据处理, 图像分析, 数据转换, Algorithm
状态：预览Universidade de São Paulo
您将获得的技能: Recurrent Neural Networks (RNNs), Natural Language Processing, Artificial Neural Networks, Tensorflow, Python Programming, Embeddings, Applied Machine Learning, Classification Algorithms, Deep Learning
总之，以下是 10 最受欢迎的 autonomous robotics 课程
- Explainable Machine Learning (XAI): Duke University
- Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
- AI for Mining: AI CERTs
- 健康数据科学基金会: University of Illinois Urbana-Champaign
- Fundamentals of CNNs and RNNs: Sungkyunkwan University
- Differential Equations Part III Systems of Equations : Korea Advanced Institute of Science and Technology(KAIST)
- AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
- 负责任的人工智能促进心理健康: Northeastern University
- 神经网络和随机森林: LearnQuest
- 人工智能与智能幻觉: Copenhagen Business School
