机器人课程
机器人课程可以帮助您学习机器人控制编程、传感器集成和机械设计原理。您可以掌握自动化、系统故障排除和算法开发等技能，以完成导航和物体识别等任务。许多课程都会介绍一些工具，如 ROS（机器人操作系统）、用于设计的 CAD 软件以及可让您在虚拟环境中测试机器人系统的仿真平台。
热门机器人课程和认证
状态：新您将获得的技能: Generative AI, Responsible AI, Large Language Modeling, Data Ethics, Machine Learning, Applied Machine Learning, Artificial Intelligence, Supervised Learning, Predictive Modeling, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Reinforcement Learning
状态：免费试用您将获得的技能: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning
状态：新状态：预览Universidad de Palermo
您将获得的技能: Artificial Intelligence, IT Infrastructure, Technology Solutions, Emerging Technologies, Robotics, Robotic Process Automation, Digital Transformation, Social Impact
状态：免费试用Fundação Instituto de Administração
您将获得的技能: Marketing Analytics, Data Visualization, Sales Strategy, Marketing Strategies, Digital Media Strategy, Data Visualization Software, Customer Engagement, Analytics, Consumer Behaviour, Market Analysis, Regression Analysis, Statistical Analysis, Exploratory Data Analysis, Pandas (Python Package), Decision Tree Learning, Decision Making, Logistic Regression, Artificial Neural Networks
您将获得的技能: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms
状态：预览Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Large Language Modeling, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Embeddings
状态：预览Northeastern University
您将获得的技能: Natural Language Processing, Embeddings, Model Evaluation, Data Ethics, Responsible AI, Deep Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Supervised Learning, Machine Learning Algorithms, Classification Algorithms
状态：免费试用您将获得的技能: Large Language Modeling, Natural Language Processing, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning
您将获得的技能: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Data Preprocessing, Data Processing, Regression Analysis
状态：预览DeepLearning.AI
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks, Embeddings
状态：预览Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Large Language Modeling, Natural Language Processing
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning
总之，以下是 10 最受欢迎的 robotics 课程
- Machine Learning for Absolute Beginners - Level 1: Packt
- Advanced ML Algorithms & Unsupervised Learning: Packt
- Tecnologías de la Información: Universidad de Palermo
- Engajamento, Conversão e o Consumidor: Fundação Instituto de Administração
- Deep Learning - Crash Course 2023: Packt
- Attention Mechanism - Français: Google Cloud
- NLP in Engineering: Concepts & Real-World Applications: Northeastern University
- Neural Models and Machine Translation: Edureka
- Mastering Image Segmentation with PyTorch: Packt
- Последовательные модели: DeepLearning.AI
