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: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Amazon Elastic Compute Cloud, Cloud Security, Data Management, Disaster Recovery, Continuous Monitoring
初级 · 课程 · 1-4 周

您将获得的技能: Scalability, Time Series Analysis and Forecasting, File I/O, Predictive Modeling, Programming Principles, Data Import/Export, Matlab, Exploratory Data Analysis, Scripting, Data Preprocessing, Statistical Analysis, Data Analysis, Data Processing, Data Manipulation, Applied Machine Learning
混合 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Big Data, Analytics, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning
初级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Data Management, Data Governance, AI Workflows, Google Cloud Platform, Development Environment, Model Evaluation, Machine Learning, Data Processing, Feature Engineering, Data Transformation, Containerization
中级 · 课程 · 1-3 个月

您将获得的技能: Amazon Elastic Compute Cloud, Amazon Web Services, Cloud Hosting, Front-End Web Development, React.js, Javascript, Web Development Tools, Full-Stack Web Development, Web Applications, Cloud Security, Hypertext Markup Language (HTML)
中级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Generative AI, Responsible AI, Prompt Engineering, Course Development, ChatGPT, Instructional Design, Education Software and Technology, Brainstorming, Design Strategies, Artificial Intelligence, Content Creation, Data Ethics, Creative Design, Emerging Technologies, Persona Development, Professional Development, digital literacy
初级 · 专项课程 · 1-3 个月

您将获得的技能: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis
初级 · 课程 · 1-4 周

您将获得的技能: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
中级 · 专项课程 · 3-6 个月

University of Michigan
您将获得的技能: Instructional Design, Learning Theory, User Experience Design, Design, Design Thinking, Disabilities, Education Software and Technology, Professional Development, Diversity Equity and Inclusion Initiatives, User Centered Design, Emerging Technologies
初级 · 课程 · 1-4 周

您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Performance Tuning, Model Evaluation, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging
高级设置 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning
中级 · 指导项目 · 不超过 2 小时
University of Michigan
您将获得的技能: Python 程序设计, 分类算法, 决策树学习, 机器学习算法, 数据预处理, 模型评估, 机器学习, 分析, Scikit-learn (机器学习库), 数据分析, 应用机器学习, 预测建模, 预测分析, 功能工程, 监督学习, 逻辑回归, 分类与回归树 (CART)
中级 · 课程 · 1-4 周