MLOps 课程
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。
热门 MLOps 课程和认证
状态：新状态：免费试用您将获得的技能: Vision Transformer (ViT), Model Deployment, Transfer Learning, Hugging Face, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment
Google Cloud
您将获得的技能: 张力流, Google 云端平台, 机器学习, 数据管道, MLOps（机器学习 Operator）, 应用机器学习, 模型部署
状态：预览Google Cloud
您将获得的技能: CI/CD, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Model Deployment, Tensorflow, Metadata Management, AI Orchestration, Containerization
状态：新状态：免费试用您将获得的技能: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning
状态：新状态：免费试用您将获得的技能: Threat Modeling, Data Loss Prevention, Mobile Security, DevSecOps, MLOps (Machine Learning Operations), Vulnerability Scanning, LLM Application, Site Reliability Engineering, Security Engineering, Anomaly Detection, Application Security, Responsible AI, Security Controls, Data Security, Incident Response, CI/CD, Infrastructure Security, Continuous Monitoring, Penetration Testing, Process Optimization
状态：新状态：免费试用您将获得的技能: API Design, Cloud API, Amazon CloudWatch, AI Security, Cloud Management, Security Controls, Application Performance Management, Redis, Load Balancing, Performance Testing, Network Monitoring, Incident Response, MLOps (Machine Learning Operations), GitHub, Python Programming, Machine Learning
状态：新状态：免费试用您将获得的技能: LangChain, LLM Application, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Python Programming, Containerization, System Monitoring, Cloud Platforms, Security Controls
状态：新Google Cloud
您将获得的技能: Data Infrastructure, Model Deployment, Data Processing, Data Pipelines
状态：新状态：免费试用Coursera
您将获得的技能: MLOps (Machine Learning Operations), Data Governance, Prompt Engineering, Continuous Deployment, Generative AI, System Monitoring, CI/CD, Responsible AI, Automation, DevOps, Compliance Management, Performance Tuning, Data Pipelines, Kubernetes, Docker (Software), Containerization, Data Security, Risk Management, Dashboard, Cloud Platforms
状态：新状态：免费试用您将获得的技能: Clinical Informatics, Clinical Research, Artificial Intelligence, MLOps (Machine Learning Operations), Health Informatics, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Analysis
状态：新状态：免费试用您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
状态：新状态：免费试用您将获得的技能: Statistical Visualization, Data Visualization, Model Evaluation, Statistical Hypothesis Testing, MLOps (Machine Learning Operations), Statistical Analysis, Large Language Modeling, Statistical Methods, Data-Driven Decision-Making, Matplotlib, Statistical Inference, Probability & Statistics, Experimentation, Performance Metric
与 mlops 相关的搜索
总之，以下是 10 最受欢迎的 mlops 课程
- Introduction to Transformer Models for NLP: Unit 3: Pearson
- 顶点管道Qwik Start: Google Cloud
- ML Pipelines on Google Cloud - Português: Google Cloud
- Building, Evaluating, and Operationalizing ML Models: Packt
- AI Security: Security in the Age of Artificial Intelligence: Coursera
- Design & Secure LLM APIs for Scalability: Coursera
- Build Next-Gen LLM Apps with LangChain & LangGraph: Coursera
- AI Infrastructure: Storage Options: Google Cloud
- GenAI Deployment & Governance: Coursera
- Foundations of AI in Healthcare: SkillUp
