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：预览University of Illinois Urbana-Champaign
您将获得的技能: 写作, 多媒体, 口头表达, 扫盲, 媒体与传播, 文化多样性, 数字教学法, 教学策略, 学习风格, 高等教育, 教学, 非语言交流, 差异化教学, 数字扫盲
状态：免费试用EDHEC Business School
您将获得的技能: 数据可视化软件, Python 程序设计, 消费者行为, 预测建模, 数据分析, 财务分析, 网页抓取, 网络分析, 资产管理, 金融建模, 投资, Machine Learning 方法, 社交网络分析, 非结构化数据, 金融市场, 文本挖掘, 金融报表
状态：预览您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Responsible AI, Data Quality
状态：预览University of Colorado Boulder
您将获得的技能: 环境问题, 协作, 计划评估, 社区发展, 课程规划, 需求评估, 社会影响, 主动性和领导力, 数据映射, 规划, 社区外联, 同情心, 教育与培训, 培训培训师, 社区组织, 增强能力, 与儿童一起工作, 可持续发展
您将获得的技能: Collaborative Software, Education Software and Technology, Teaching, Content Creation
状态：免费试用IBM
您将获得的技能: 生成式人工智能, 检索-增强生成, Python 程序设计, 机器学习, 计算机视觉, 数据科学, 矢量数据库, PyTorch（机器学习库）, Prompt Engineering, Apache Spark, 模型评估, 迁移学习, 生成模型架构, LLM 申请, 大型语言模型, 视觉转换器（ViT）, PySpark, Keras（神经网络库）, 无监督学习, 监督学习
您将获得的技能: Model Evaluation, Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Applied Machine Learning
状态：免费Coursera
您将获得的技能: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis, Technical Communication
状态：预览National Taiwan University
您将获得的技能: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Verification And Validation
状态：免费试用您将获得的技能: Google Cloud Platform, Tensorflow, Unstructured Data, Applied Machine Learning, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Data Pipelines, Machine Learning, Jupyter, Natural Language Processing
您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Google Cloud Platform, Predictive Modeling, AI Security
您将获得的技能: Model Evaluation, Generative AI, Continuous Monitoring, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Machine Learning Methods, Predictive Modeling
总之，以下是 10 最受欢迎的 blended learning 课程
- 多模态文学：数字媒体时代的交流与学习: University of Illinois Urbana-Champaign
- 利用 Python 和机器学习技术替代数据集进行资产管理: EDHEC Business School
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français: Google Cloud
- 与珍-古道尔和《根与芽》一起通过服务学习培养富有同情心的领导力: University of Colorado Boulder
- Créer du contenu e-learning pour vos étudiants avec Canva: Coursera
- IBM 人工智能工程: IBM
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
- Data Science Challenge: Coursera
- 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
- Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro: Google Cloud
