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
您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Model Deployment, AI Workflows, Artificial Intelligence, Applied Machine Learning, Machine Learning, Model Evaluation, Feature Engineering, Natural Language Processing, Supervised Learning
您将获得的技能: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Applied Machine Learning, Big Data, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Predictive Modeling
状态：新状态：免费试用Google Cloud
您将获得的技能: Generative AI, Google Cloud Platform, Responsible AI, Gemini, AI Product Strategy, AI Enablement, Cloud Infrastructure, Artificial Intelligence, LLM Application, MLOps (Machine Learning Operations), Data Centers, Innovation
您将获得的技能: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Tensorflow, Model Deployment, Big Data, Machine Learning, Model Evaluation, Natural Language Processing
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Data Governance, Data Management, AI Workflows, Business Workflow Analysis, Data Pipelines, Google Cloud Platform, Model Evaluation, Machine Learning, Containerization
状态：新Google Cloud
您将获得的技能: Jupyter, Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Development Environment, Exploratory Data Analysis
状态：新Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Preprocessing, Development Environment
您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Preprocessing, MLOps (Machine Learning Operations), Cloud Deployment, Deep Learning, Data Transformation, Data Pipelines, Feature Engineering, Artificial Neural Networks
状态：新状态：免费试用您将获得的技能: No-Code Development, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Business Continuity, Auditing, Performance Tuning, Application Programming Interface (API)
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Data Validation, Google Cloud Platform, Tensorflow, Systems Architecture, Distributed Computing, Performance Tuning, Model Evaluation, Scalability, Machine Learning, Data Pipelines
状态：新状态：免费试用Google Cloud
您将获得的技能: Generative AI Agents, Generative AI, Google Cloud Platform, Gemini, Responsible AI, AI Security, AI Product Strategy, AI Enablement, Data Ethics, Cloud Infrastructure, Data Governance, Artificial Intelligence, Data Centers, MLOps (Machine Learning Operations)
Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Keras (Neural Network Library), Data Pipelines, Data Transformation, Machine Learning, Applied Machine Learning, Data Modeling, Statistical Methods
总之，以下是 10 最受欢迎的 mlops 课程
- Introduction to AI and Machine Learning on GC - Italiano: Google Cloud
- Smart Analytics, Machine Learning and AI on GC - 한국어: Google Cloud
- 生成式 AI：全面了解生成式 AI: Google Cloud
- Introduction to AI and Machine Learning on GC - Indonesian: Google Cloud
- Machine Learning in the Enterprise - Italiano: Google Cloud
- Trabalhar com Notebooks na Vertex AI: Google Cloud
- Vertex AI でノートブックを使用する: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
- Practical Machine Learning without Coding: LearnQuest
- Production Machine Learning Systems - Português Brasileiro : Google Cloud
