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。

Amazon Web Services
您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, AI Workflows, Model Deployment, Machine Learning, Applied Machine Learning
初级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning
高级设置 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
初级 · 专项课程 · 1-3 个月

Imperial College London
您将获得的技能: 卷积神经网络, 概率分布, 迁移学习, 数据管道, 数据预处理, 模型部署, 监督学习, 计算机视觉, 模型评估, 应用机器学习, 贝叶斯统计, Keras(神经网络库), 递归神经网络 (RNN), 深度学习, 自动编码器, 张力流, 人工神经网络, 生成模型架构, 自然语言处理, 图像分析
中级 · 专项课程 · 3-6 个月

Imperial College London
您将获得的技能: Python 程序设计, 应用数学, 微积分, 统计分析, 数学建模, 数据预处理, 统计, Machine Learning 方法, Algorithm, NumPy, 降维, 机器学习算法, 回归分析, 功能工程, 线性代数, 衍生产品, Jupyter, 人工神经网络, 无监督学习, 高等数学
初级 · 专项课程 · 3-6 个月

Coursera
您将获得的技能: Responsible AI, Microsoft Copilot, Generative AI, AI Enablement, Training and Development, Instructional Design, ChatGPT, Productivity Software, Training Programs, Prompt Engineering, Learning Management Systems, Innovation, Case Studies, Leadership Development, Automation
中级 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
中级 · 专项课程 · 3-6 个月

您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering
中级 · 课程 · 3-6 个月

您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Data Preprocessing, Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Model Evaluation, Data Lakes, Scikit Learn (Machine Learning Library), Cloud Computing
中级 · 专业证书 · 3-6 个月

Northeastern University
您将获得的技能: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Governance, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Business Strategy, Business Planning
初级 · 课程 · 1-4 周

您将获得的技能: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Python Programming
中级 · 指导项目 · 不超过 2 小时

Duke University
您将获得的技能: Python 程序设计, 负责任的人工智能, 数据分析, 模型部署, 云部署, MLOps(机器学习 Operator), NumPy, 大数据, 数据操作, 拥抱的脸, 数据管理, Data Management, 微软 Azure, Devops, 集装箱化, GitHub, 机器学习, Pandas(Python 软件包), AWS SageMaker, 云计算, 探索性数据分析
高级设置 · 专项课程 · 3-6 个月