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：预览Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Deep Learning, Artificial Neural Networks, Text Mining, Natural Language Processing
状态：预览Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Applied Machine Learning, Machine Learning Methods, Large Language Modeling, Artificial Neural Networks, Embeddings, Text Mining
状态：新状态：免费试用您将获得的技能: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
状态：新状态：预览Northeastern University
您将获得的技能: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Artificial Neural Networks, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Simulations, 3D Modeling
状态：新状态：预览您将获得的技能: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing
- 状态：预览
Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Large Language Modeling, Text Mining
状态：新状态：预览Northeastern University
您将获得的技能: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Embeddings, Deep Learning, Applied Machine Learning, Markov Model
状态：新状态：预览您将获得的技能: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation
状态：预览Google Cloud
您将获得的技能: Image Analysis, Deep Learning, Convolutional Neural Networks, Model Evaluation, Artificial Neural Networks
- 状态：预览
Google Cloud
您将获得的技能: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Large Language Modeling, Text Mining
状态：新状态：预览您将获得的技能: SAS (Software), Model Deployment, Model Evaluation, Predictive Analytics, Regression Analysis, Business Analytics, Data Preprocessing, Machine Learning Methods, Data Mining, Feature Engineering, Statistical Analysis, Decision Tree Learning, Data Transformation, Artificial Neural Networks
您将获得的技能: Tensorflow, Data Preprocessing, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Cleansing, Data Transformation, Scalability, Feature Engineering, Data Pipelines, Deep Learning, Artificial Neural Networks, Model Evaluation, Machine Learning
总之，以下是 10 最受欢迎的 robotics 课程
- Attention Mechanism - 简体中文: Google Cloud
- Attention Mechanism - 한국어: Google Cloud
- Advanced Machine Learning with R: Apply & Predict: EDUCBA
- Machine Learning with Small Data Part 2: Northeastern University
- Deep Learning with R: Build & Predict Neural Networks: EDUCBA
- Attention Mechanism - בעברית: Google Cloud
- Applied Natural Language Processing in Engineering Part 2: Northeastern University
- Deep Learning: Build & Optimize Neural Networks: EDUCBA
- Create Image Captioning Models - Italiano: Google Cloud
- Attention Mechanism - 日本語版: Google Cloud
