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: Healthcare 5.0, Artificial Intelligence, AI Enablement, Jupyter, Healthcare Ethics, Health Informatics, Healthcare Industry Knowledge, LLM Application, Machine Learning, Deep Learning, Machine Learning Software, MLOps (Machine Learning Operations), Generative Model Architectures, Statistical Machine Learning, AI Product Strategy, Model Evaluation, Predictive Modeling, Data-Driven Decision-Making, Data Processing, Data Analysis
中级 · 专项课程 · 1-3 个月
您将获得的技能: Model Deployment, LLM Application, Large Language Modeling, System Monitoring, Scalability, Hugging Face, Cloud Deployment, Performance Tuning, MLOps (Machine Learning Operations), Prompt Engineering, Transfer Learning, AI Security, Applied Machine Learning, Application Security, Artificial Intelligence, API Design, Model Evaluation
中级 · 课程 · 1-4 周
初级 · 专项课程
初级 · 专项课程

您将获得的技能: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, Prompt Engineering, ChatGPT, AI Enablement, AI Security, Cloud Development, Data Ethics, Real Time Data, Model Deployment, Cloud Computing Architecture, Artificial Intelligence, MLOps (Machine Learning Operations), Deep Learning, Scalability
初级 · 课程 · 1-3 个月

Duke University
您将获得的技能: 模型评估, 以人为本的设计, 项目管理生命周期, 无监督学习, 用户体验设计, 人机交互, 负责任的人工智能, 项目管理, 产品管理, 数据预处理, 数据质量, 分类与回归树 (CART), 深度学习, 模型部署, MLOps(机器学习 Operator), 产品设计, 数据管理, 数据伦理, 数据科学, 机器学习
初级 · 专项课程 · 3-6 个月

您将获得的技能: System Monitoring, Dashboard, Application Performance Management, Site Reliability Engineering, Continuous Monitoring, Event Monitoring, Performance Metric, Service Level, Generative AI, MLOps (Machine Learning Operations), Service Level Agreement, Distributed Computing, Incident Management, Real Time Data
中级 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
中级 · 课程 · 1-4 周
您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
高级设置 · 专业证书 · 3-6 个月

NVIDIA
您将获得的技能: 数据基础设施, 生成式人工智能, Devops 工具, 大型语言模型, 云基础设施, 信息技术基础设施, 计算机结构, 人工智能和机器学习(AI/ML), 硬件架构, 云计算, 信息技术业务, MLOps(机器学习 Operator), 数据中心, 深度学习, 模型部署, 人工智能, 网络基础设施, 机器学习, AI 协调, 基础设施架构
初级 · 课程 · 1-4 周

您将获得的技能: Apache Airflow, MLOps (Machine Learning Operations), Multi-Tenant Cloud Environments, Data Pipelines, Workflow Management, Business Workflow Analysis, Cloud Deployment, Continuous Deployment, CI/CD, Devops Tools, DevOps, Configuration Management, Python Programming, Scalability, Performance Tuning, System Monitoring
中级 · 课程 · 3-6 个月

您将获得的技能: Model Deployment, Model Evaluation, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Decision Making, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms, Regulatory Requirements
中级 · 课程 · 1-4 周