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
Google Cloud
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Cloud Computing Architecture, Systems Architecture, Performance Tuning, Distributed Computing, Machine Learning, Scalability, Data Pipelines, Data Processing
状态：免费试用University of Alberta
您将获得的技能: Algorithm, 模拟, 强化学习, 人工神经网络, 马尔可夫模型, 机器学习算法, 机器学习, 模型评估, 性能调整, 性能测试, 人工智能和机器学习（AI/ML）
状态：新状态：免费试用您将获得的技能: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming
状态：新您将获得的技能: Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Amazon Elastic Compute Cloud, Application Deployment, Predictive Modeling, Data Pipelines, Extract, Transform, Load, Data Processing
状态：新您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, AWS SageMaker, CI/CD, Data Management, Cloud Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Automation, Data Pipelines, Continuous Monitoring
状态：预览The University of Tokyo
您将获得的技能: Language Competency, Vocabulary, Oral Comprehension, Grammar, Language Learning, Literacy, Engineering Documentation, Science and Research, Materials science
状态：免费试用您将获得的技能: 卷积神经网络, PyTorch（机器学习库）, 数据管道, 模型部署, Python 程序设计, 视觉转换器（ViT）, 迁移学习, 深度学习, Keras（神经网络库）, 数据预处理, 地理空间信息与技术, 模型评估, 机器学习, 计算机视觉
状态：免费试用Stanford University
您将获得的技能: 卷积神经网络, 负责任的人工智能, 数据伦理, 深度学习, 人工神经网络, 医疗保健伦理, 医疗保健行业知识, 强化学习, 机器学习, 人工智能和机器学习（AI/ML）, 模型评估, 数据预处理, 卫生政策, 机器学习算法, 应用机器学习
状态：免费试用您将获得的技能: 卷积神经网络, 自动编码器, 深度学习, 人工神经网络, 生成对抗网络 (GAN), 强化学习, 递归神经网络 (RNN), 模型评估, 迁移学习, 无监督学习, 性能调整, 张力流, Keras（神经网络库）, 人工智能和机器学习（AI/ML）
状态：免费试用Fundação Instituto de Administração
您将获得的技能: Big Data, Data Mining, Data-Driven Decision-Making, Marketing Automation, Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, Ggplot2, Marketing, Data Visualization Software, Plot (Graphics), Data Modeling, R Programming, Analytics, Data Science, Data Analysis, Innovation, Business Analytics, Data Manipulation
状态：预览University of Colorado Boulder
您将获得的技能: 卷积神经网络, 分类算法, 深度学习, 人工神经网络, 机器学习, 应用机器学习, 张力流, 性能调整, 模型评估, 计算机视觉, 图像分析
状态：预览Northeastern University
您将获得的技能: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra
总之，以下是 10 最受欢迎的 blended learning 课程
- Production Machine Learning Systems - Español: Google Cloud
- 完整的强化学习系统（Capstone）: University of Alberta
- Machine Learning with Python & Statistics: EDUCBA
- AWS Certified Machine Learning - Specialty: Pearson
- Learn MLOps for Machine Learning: Pearson
- Let’s Read! Learning Japanese through Science & Technology-2: The University of Tokyo
- 使用深度学习的人工智能顶点项目: IBM
- 医疗保健机器学习基础: Stanford University
- 使用 Keras 和 TensorFlow 进行深度学习: IBM
- Machine Learning Aplicado ao Marketing: Fundação Instituto de Administração
