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。

您将获得的技能: CI/CD, Azure DevOps, Infrastructure as Code (IaC), Continuous Integration, Docker (Software), Microsoft Azure, DevOps, Application Deployment, GitHub, Continuous Deployment, Cloud Deployment, Containerization, Git (Version Control System), YAML, Secure Coding, Cloud Computing
中级 · 课程 · 1-3 个月

Microsoft
您将获得的技能: 微软 Azure, 数据管道, MLOps(机器学习 Operator), 数据库, 数据伦理, 数据安全, 机器学习, 数据预处理, 信息隐私, 云计算, 模型部署, 模型评估, 负责任的人工智能, 性能调整, 持续监测
中级 · 课程 · 1-3 个月

您将获得的技能: Data Preprocessing, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Pandas (Python Package), NumPy
混合 · 课程 · 1-4 周

您将获得的技能: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing
中级 · 课程 · 1-4 周

您将获得的技能: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment
中级 · 课程 · 1-3 个月
CertNexus
您将获得的技能: 数据伦理, MLOps(机器学习 Operator), 机器学习, 机器学习算法, 解决方案设计, 监管合规, 业务解决方案, 商业道德, 数据驱动的决策制定, 应用机器学习, 合规管理, 模型评估, AI 赋能, 负责任的人工智能, 人工智能和机器学习(AI/ML), 项目实施, AI 产品战略
中级 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing
初级 · 课程 · 1-4 周

您将获得的技能: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
混合 · 课程 · 1-4 周

Northeastern University
您将获得的技能: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving
中级 · 课程 · 1-4 周

您将获得的技能: Penetration Testing, Vulnerability Assessments, Network Security, Network Analysis, Cyber Threat Hunting, Cyber Security Assessment, Virtual Machines, Open Source Technology, Malware Protection, Command-Line Interface, Software Installation
中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
高级设置 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, AI Enablement, MLOps (Machine Learning Operations), Data Science, Prompt Engineering, Model Evaluation, Feature Engineering
中级 · 课程 · 1-3 个月