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
您将获得的技能: Pandas (Python Package), Data Analysis, Data Manipulation, Time Series Analysis and Forecasting, Python Programming
状态：免费试用University of Michigan
您将获得的技能: Responsible AI, Prompt Engineering, Generative AI, ChatGPT, Education Software and Technology, Design Strategies, Artificial Intelligence, Data Ethics, Content Creation, Professional Development
状态：预览您将获得的技能: Google Gemini, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Model Deployment, AI Workflows, Cloud Infrastructure, Data Preprocessing, Machine Learning, Feature Engineering, Natural Language Processing, Model Evaluation
状态：预览Google Cloud
您将获得的技能: 数据处理, 模型部署, Google 云端平台, MLOps（机器学习 Operator）, 数据建模, 数据安全, 数据存储技术, 功能工程, 数据管理
您将获得的技能: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Big Data, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Model Deployment, Machine Learning, Model Evaluation, Natural Language Processing
状态：免费您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)
状态：免费试用您将获得的技能: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Embeddings, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Applied Machine Learning, Unsupervised Learning, Dataflow, Data Analysis, Artificial Neural Networks
状态：免费试用您将获得的技能: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
Commonwealth Education Trust
您将获得的技能: Lesson Planning, Professional Development, Constructive Feedback, Growth Mindedness, Self-Awareness, Collaboration, Personal Development, Empathy, Goal Setting, Adaptability
状态：免费试用您将获得的技能: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Preprocessing, Data Quality, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Embeddings, Exploratory Data Analysis, Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Machine Learning, AI Enablement, Data Pipelines, Jupyter, Big Data, Artificial Neural Networks
状态：新您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning
总之，以下是 10 最受欢迎的 blended learning 课程
- Mastering Data Analysis with Pandas: Learning Path Part 4: Coursera
- Strategizing the Use of Generative AI in Learning Design : University of Michigan
- Introduction to AI and Machine Learning on GC - Português: Google Cloud
- 使用 Vertex AI 进行机器学习操作 (MLOps)：管理功能: Google Cloud
- Introduction to AI and Machine Learning on GC - Italiano: Google Cloud
- Data Analytics and Machine Learning for Big Data: Microsoft
- MLOps in R: Deploying machine learning models using vetiver: Coursera
- Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
- R Ultimate 2024 - R for Data Science and Machine Learning: Packt
- Foundations of Teaching for Learning Capstone: The Reflective Practitioner: Commonwealth Education Trust
