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
Universidad de los Andes
您将获得的技能: Supervised Learning, Unsupervised Learning, Model Evaluation, Artificial Intelligence, Dimensionality Reduction, Probability & Statistics, Data Ethics, Machine Learning Methods, Linear Algebra, Responsible AI, Machine Learning, Natural Language Processing, Applied Machine Learning, Semantic Web, Classification And Regression Tree (CART), Decision Tree Learning, Machine Learning Algorithms, Statistical Machine Learning, Unstructured Data, Probability
状态：预览DeepLearning.AI
您将获得的技能: 数据科学, 负责任的人工智能, 机器学习, AI 产品战略, AI 赋能, 人工神经网络, 数据伦理, 人工智能, 深度学习
状态：预览Deep Teaching Solutions
您将获得的技能: Learning Strategies, Lifelong Learning, Critical Thinking and Problem Solving, Time Management, Cognitive flexibility, Productivity, Growth Mindedness, Stress Management, Self-Awareness, Professional Development
状态：预览University of Pennsylvania
您将获得的技能: 业务沟通, 招聘, 社交技能, 商务写作, 面试技巧, 工作分析, 沟通, 语言交流技能, 英语, 词汇, 专业网络, 写作
状态：预览Deep Teaching Solutions
您将获得的技能: Lifelong Learning, Learning Strategies, Time Management, Human Learning, Mental Concentration, Creativity, Growth Mindedness, Persistence, Curiosity, Collaboration, Personal Development, Stress Management
您将获得的技能: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Continuous Monitoring, AI Security, Statistical Methods, Responsible AI, Google Cloud Platform
您将获得的技能: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, AI Security, Continuous Monitoring, Scalability
您将获得的技能: Model Evaluation, Generative AI, Continuous Monitoring, Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Predictive Modeling, Data Quality
状态：免费Georgia Institute of Technology
您将获得的技能: 专业精神, 人际沟通, 沟通, 语言交流技能, 英语, 词汇
状态：预览National Taiwan University
您将获得的技能: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Classification Algorithms, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Model Evaluation, Autoencoders, Convolutional Neural Networks, Supervised Learning, Computer Science, Decision Tree Learning, Algorithms
状态：预览Deep Teaching Solutions
您将获得的技能: Productivity, Lifelong Learning, Learning Strategies, Time Management, Willingness To Learn, Mental Concentration, Problem Solving, Overcoming Obstacles, Creative Thinking, Persistence, Cognitive flexibility, Stress Management, Planning
状态：免费试用IBM
您将获得的技能: 生成式人工智能, Prompt Engineering, 数据科学, 计算机视觉, 负责任的人工智能, LangChain, LLM 申请, 检索-增强生成, ChatGPT, AI 工作流程, 还原式 API, 工程软件, 机器学习, 数据导入/导出, 软件架构, Python 程序设计, 软件开发生命周期, 提示模式, IBM 云, 响应式网页设计
总之，以下是 10 最受欢迎的 blended learning 课程
- Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®: Universidad de los Andes
- 适用于所有人的人工智能课程: DeepLearning.AI
- Aprendiendo a aprender: Poderosas herramientas mentales con las que podrás dominar temas difíciles (Learning How to Learn): Deep Teaching Solutions
- 职业发展英语: University of Pennsylvania
- A tanulás tanulása: Hatékony mentális eszközök, melyek segítenek megbirkózni a nehéz tantárgyakkal (Learning How to Learn): Deep Teaching Solutions
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
- 课程 | 小对话和会话词汇: Georgia Institute of Technology
- 人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
