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：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing
状态：新状态：预览Northeastern University
您将获得的技能: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction
您将获得的技能: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning
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Fundação Instituto de Administração
您将获得的技能: Predictive Analytics, Customer Relationship Management, Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Model Evaluation
状态：预览您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Deployment, Data Preprocessing, Data Pipelines, Cloud Deployment, MLOps (Machine Learning Operations), Data Cleansing, Deep Learning, Machine Learning Methods, Data Transformation, Artificial Neural Networks, Model Evaluation, Application Programming Interface (API)
状态：新状态：预览您将获得的技能: Real-Time Operating Systems, Embedded Software, Software Architecture, Embedded Systems, Systems Architecture, Software Systems, Software Design, Application Design, Software Design Patterns, Maintainability, Performance Tuning, Safety Assurance, Interoperability, Real Time Data, Secure Coding, Scalability, Design Strategies
状态：新状态：免费试用Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing
状态：预览DeepLearning.AI
您将获得的技能: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Transfer Learning, Applied Machine Learning, Network Architecture, Algorithms
状态：免费试用Johns Hopkins University
您将获得的技能: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Anomaly Detection, Applied Machine Learning, Network Security, Machine Learning, Unsupervised Learning, Supervised Learning, Artificial Neural Networks
Google Cloud
您将获得的技能: 计算机视觉, 模型评估, 张力流, 卷积神经网络, 科学可视化, 云计算, 深度学习, 数据收集, 图像分析, 人工神经网络, Google 云端平台
与 autonomous robotics 相关的搜索
总之，以下是 10 最受欢迎的 autonomous robotics 课程
- Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
- Statistical Learning for Engineering Part 1: Northeastern University
- TensorFlow for Beginners: Basic Binary Image Classification: Coursera
- NLP in Engineering: Concepts & Real-World Applications: Northeastern University
- Fundamentos de IA Aplicados ao CRM: Fundação Instituto de Administração
- Build, Train and Deploy ML Models with Keras on Google Cloud - Español: Google Cloud
- Advanced Architectures in Embedded Software Design: Coursera
- Learning Deep Learning: Pearson
- Recommender Systems Complete Course Beginner to Advanced: Packt
- الشبكات العصبونية الالتفافية: DeepLearning.AI
