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：预览您将获得的技能: Tensorflow, Model Deployment, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Data Preprocessing, Cloud Deployment, Deep Learning, Data Transformation, 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, Artificial Neural Networks, Text Mining, Natural Language Processing
状态：预览您将获得的技能: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
状态：新状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision
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：预览您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Deployment, Data Pipelines, Google Cloud Platform, Artificial Neural Networks, Data Transformation, Deep Learning, Cloud Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Embeddings, Data Processing
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, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Data Preprocessing, Model Evaluation, Exploratory Data Analysis, Probability & Statistics
状态：新状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Computer Vision, Model Evaluation, Data Preprocessing
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：新您将获得的技能: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Data Ethics, Large Language Modeling, Artificial Intelligence, Machine Learning, Artificial Neural Networks, Computer Science, Deep Learning, Machine Learning Algorithms
状态：新状态：预览您将获得的技能: Generative AI, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning
总之，以下是 10 最受欢迎的 robotics 课程
- Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
- Attention Mechanism - Español: Google Cloud
- Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
- Sequence Modeling, Transformers, and Transfer Learning: Packt
- Attention Mechanism - 简体中文: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
- Advanced Machine Learning with R: Apply & Predict: EDUCBA
- Deep Learning & Modern AI Architectures: Packt
- Deep Learning with R: Build & Predict Neural Networks: EDUCBA
- Machine Learning with Small Data Part 2: Northeastern University
