机器人工程师课程可以帮助您学习机器人系统编程、控制理论、传感器集成和机器学习应用。您可以掌握设计机器人组件、排除系统故障和实施自动化解决方案的技能。许多课程都会介绍 ROS(机器人操作系统)、用于模拟的 MATLAB 和用于设计部件的 CAD 软件等工具,展示这些技能如何结合在一起,创造出能在各种环境中执行任务的功能性机器人。

Whizlabs
您将获得的技能: AI Personalization, Fraud detection, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Amazon Web Services, Natural Language Processing, AI Workflows, Applied Machine Learning, Text Mining, Unstructured Data, Document Management, Real Time Data
中级 · 课程 · 1-4 周

您将获得的技能: Threat Modeling, Open Web Application Security Project (OWASP), DevSecOps, Secure Coding, Application Security, Threat Detection, Security Testing, Security Engineering, Continuous Delivery, Continuous Integration, Vulnerability Assessments, CI/CD, Vulnerability Scanning, Continuous Deployment
高级设置 · 课程 · 1-4 周

您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib
初级 · 专项课程 · 1-3 个月

您将获得的技能: Application Deployment, Azure DevOps, Continuous Deployment, Git (Version Control System), Version Control, Microsoft Azure, Release Management, Code Review
中级 · 课程 · 1-4 周

您将获得的技能: Tensorflow, Model Deployment, Data Preprocessing, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Embeddings, Cloud Deployment, Deep Learning, Data Transformation, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)
中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
混合 · 课程 · 1-4 周

Pearson
您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Large Language Modeling, Text Mining
中级 · 课程 · 1-4 周

Simplilearn
您将获得的技能: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Python Programming
初级 · 课程 · 1-4 周

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
初级 · 课程 · 1-4 周

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
中级 · 课程 · 1-4 周

Illinois Tech
您将获得的技能: Cloud Security, AWS Identity and Access Management (IAM), Identity and Access Management, Incident Response, Computer Security Incident Management, Cloud Computing, Network Security, Data Security, Cloud Platforms, Cloud Computing Architecture, Application Security, Cloud Services, Encryption, Firewall, Virtual Networking, Security Controls, Continuous Monitoring
攻读学位
初级 · 课程 · 1-3 个月