MLOps 课程可以帮助您学习机器学习项目的部署策略、模型监控以及持续集成和交付。您可以掌握自动化工作流、管理数据管道和确保符合治理标准的技能。许多课程介绍了 TensorFlow、Kubernetes 和 MLflow 等工具,这些工具支持操作 AI Model 并简化数据科学家和 IT 团队之间的协作。

您将获得的技能: Model Evaluation, Data Preprocessing, JUnit, Build Tools, Java Programming, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning
中级 · 专项课程 · 3-6 个月

您将获得的技能: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting
中级 · 课程 · 1-4 周

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
中级 · 课程 · 1-3 个月

Technical University of Munich (TUM)
您将获得的技能: Prompt Engineering, Amazon Bedrock, MLOps (Machine Learning Operations), Innovation, Design Thinking, Generative AI, Ideation, Amazon Web Services, Lean Methodologies, Model Evaluation, Product Development, User Experience Design, New Product Development, Agile Product Development, Machine Learning, User Research
初级 · 课程 · 1-3 个月

您将获得的技能: CI/CD, Continuous Deployment, Continuous Delivery, DevOps, Performance Analysis, Performance Metric, Performance Measurement, Artificial Intelligence, Application Performance Management, Operational Analysis, Root Cause Analysis
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: PyTorch(机器学习库), 模型部署, MLOps(机器学习运营), 法学硕士申请, AWS SageMaker, 拥抱的脸, 机器学习, 云部署, 大型语言建模, DevOps, 生成式人工智能, 自然语言处理, 应用机器学习, CI/CD, 基础设施即代码(IaC), 拉斯特(编程语言)
中级 · 课程 · 1-4 周
Coursera
您将获得的技能: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Test Case, Debugging, Code Coverage, Model Evaluation, Data Pipelines, Test Data
高级设置 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning
中级 · 课程 · 1-4 周
您将获得的技能: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Apache Maven, MLOps (Machine Learning Operations), Package and Software Management, Dependency Analysis
高级设置 · 课程 · 1-4 周

Google Cloud
您将获得的技能: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Google Cloud Platform, Tensorflow, Kubernetes, Metadata Management, AI Orchestration, AI Workflows, Model Deployment, Applied Machine Learning, Machine Learning Methods, Scikit Learn (Machine Learning Library), Containerization
高级设置 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Kubernetes, Metadata Management, Model Deployment, AI Orchestration, Model Evaluation, Containerization
高级设置 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: 模型部署, MLOps(机器学习运营), 张力流, 机器学习, Google Cloud 平台, 应用机器学习, 数据管道
中级 · 项目 · 不超过 2 小时