混合式学习课程
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。
热门混合式学习课程和认证
状态：免费试用您将获得的技能: Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Applied Machine Learning, Python Programming, Fraud detection, Unsupervised Learning, Data Preprocessing, Model Evaluation, Performance Tuning
您将获得的技能: 描述性统计, 数据存储技术, PySpark, 分布式计算, Machine Learning 方法, 数据存储, Apache Spark, 数据科学, 数据预处理, 机器学习, 模型评估, 应用机器学习, 大数据, 统计方法, 机器学习算法, 数据处理
状态：免费试用Board Infinity
您将获得的技能: Angular, Node.JS, Full-Stack Web Development, HTML and CSS, JavaScript Frameworks, User Interface (UI), Application Deployment, Application Frameworks, Back-End Web Development, Front-End Web Development, Hypertext Markup Language (HTML), MongoDB, User Interface (UI) Design, Web Design, Middleware, Bootstrap (Front-End Framework), jQuery, Javascript, Databases, Cascading Style Sheets (CSS)
状态：预览The University of Edinburgh
您将获得的技能: Sustainable Development, Cooperation, Discussion Facilitation, Collaboration, Research, Community Development, Creative Thinking, Community Outreach, Climate Change Adaptation, Student Engagement, Environmental Policy, Climate Change Mitigation, Education and Training
状态：预览Georgia Institute of Technology
您将获得的技能: 以人为本的设计, 设计策略, 设计师, 音乐, 多媒体, 可用性测试, 设计思维, 设计研究
状态：免费试用Google Cloud
您将获得的技能: 人工智能, 自然语言处理, 模型部署, 数据管道, 张力流, 机器学习, 应用机器学习, Jupyter, 非结构化数据, 图像分析, Google 云端平台, 大数据
您将获得的技能: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction
您将获得的技能: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science
Google Cloud
您将获得的技能: 预测建模, Apache Spark, 应用机器学习, 数据预处理, 大数据, Google 云端平台, 逻辑回归, 模型评估
状态：免费试用您将获得的技能: Model Deployment, Data Management, Data Pipelines, Statistical Modeling
您将获得的技能: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
总之，以下是 10 最受欢迎的 blended learning 课程
- Building Recommender Systems with Machine Learning and AI: Packt
- 使用 Apache Spark 在大数据上进行可扩展机器学习: IBM
- Learning MEAN Stack by Building Real world Application: Board Infinity
- Learning for a Sustainable Future: Live at COP29: The University of Edinburgh
- 交互式学习工具的声音和声效设计: Georgia Institute of Technology
- 谷歌云上的智能分析、机器学习和人工智能: Google Cloud
- Regression Analysis for Statistics & Machine Learning in R: Packt
- Naive Bayes 101: Resume Selection with Machine Learning: Coursera
- 在 Google Cloud Dataproc 上使用 Spark 进行机器学习: Google Cloud
- Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
