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。

您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Data Preprocessing, Text Mining, Recurrent Neural Networks (RNNs), Deep Learning, Model Evaluation, Tensorflow
混合 · 课程 · 1-4 周

Fundação Instituto de Administração
您将获得的技能: Workforce Planning, Digital Transformation, Professional Development, Business Transformation, Diversity and Inclusion, Leadership, Telecommuting, Emerging Technologies, Robotics, Technology Solutions, Augmented Reality, Virtual Reality
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, Artificial Neural Networks, Machine Learning Methods
中级 · 课程 · 1-3 个月

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: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining, Natural Language Processing
中级 · 课程 · 1-4 周

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
混合 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction
混合 · 课程 · 1-3 个月

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

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
中级 · 课程 · 1-4 周

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
中级 · 课程 · 1-4 周

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
混合 · 课程 · 1-4 周

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
混合 · 课程 · 1-3 个月