混合式学习课程可以帮助您学习教学设计、有效的评估策略以及整合在线和面对面教学的技巧。您可以培养创造引人入胜的学习体验、利用多媒体资源和促进学生之间合作的技能。许多课程都会介绍学习管理系统(LMS)、视频会议软件和互动平台等工具,展示这些技术如何增强混合式学习环境并支持多样化的学习需求。

您将获得的技能: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
混合 · 课程 · 1-4 周

Northeastern University
您将获得的技能: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Applied Machine Learning, Small Data, Autoencoders, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Assets
混合 · 课程 · 1-3 个月

University of Illinois Urbana-Champaign
您将获得的技能: 以学生为中心的学习, 文化多样性, 教学法, 研究, 课程开发, 教学策略, 人类学习, 媒体与传播, 教学, 差异化教学
初级 · 课程 · 1-4 周

Microsoft
您将获得的技能: 负责任的人工智能, 模型部署, 信息隐私, 数据管道, MLOps(机器学习 Operator), 持续监测, 机器学习, 模型评估, 数据预处理, 数据伦理, 云计算, 微软 Azure, 性能调整, 数据库, 数据安全
中级 · 课程 · 1-3 个月

您将获得的技能: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing
中级 · 课程 · 1-4 周
CertNexus
您将获得的技能: 负责任的人工智能, 数据驱动的决策制定, MLOps(机器学习 Operator), 监管合规, 解决方案设计, 项目实施, 业务解决方案, 数据伦理, AI 赋能, 机器学习算法, 机器学习, 商业道德, 合规管理, 人工智能和机器学习(AI/ML), 应用机器学习, AI 产品战略, 模型评估
中级 · 课程 · 1-4 周

您将获得的技能: Data Preprocessing, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Pandas (Python Package), NumPy
混合 · 课程 · 1-4 周

Amazon Web Services
您将获得的技能: Education Software and Technology, Generative AI, Game Design, Digital pedagogy
初级 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
高级设置 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Governance, Data Management, AI Workflows, Predictive Modeling, Machine Learning, Data Pipelines, Feature Engineering, Model Evaluation, Performance Tuning
中级 · 课程 · 1-3 个月

Universidades Anáhuac
您将获得的技能: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming
初级 · 课程 · 1-4 周

您将获得的技能: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Programming Principles, Data Visualization, Descriptive Statistics, Mathematical Software, File I/O, Numerical Analysis, Software Installation, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis
初级 · 专项课程 · 1-3 个月