运筹学课程
Operator 课程可以帮助您学习优化技术、模拟建模、决策分析和线性规划。您可以培养数据分析、资源分配和风险评估方面的技能，提高各行各业的效率。许多课程都会介绍 Excel Solver、MATLAB 和 Python 库等工具，这些工具有助于复杂问题的解决和数据 Visualization，使您能够在供应链管理、物流和生产规划等实际工作中应用这些技能。
热门运筹学课程和认证
您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Statistical Methods, Responsible AI, Predictive Modeling, Google Cloud Platform, Machine Learning, Natural Language Processing
Google Cloud
您将获得的技能: Google Gemini, Kubernetes, DevOps, CI/CD, Google Cloud Platform, Infrastructure as Code (IaC), System Design and Implementation, Prompt Engineering Tools, Development Environment
状态：免费试用您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, MLOps (Machine Learning Operations)
状态：新Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis
状态：新Google Cloud
您将获得的技能: Google Gemini, Generative AI, Google Cloud Platform, AI Product Strategy, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, No-Code Development, Innovation, MLOps (Machine Learning Operations)
Google Cloud
您将获得的技能: Site Reliability Engineering, Continuous Delivery, Continuous Integration, DevOps, Safety Culture, Culture Transformation, Service Level, System Monitoring, Team Oriented, Change Management, Automation, Data-Driven Decision-Making, Goal Setting
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Data Modeling, Feature Engineering, Data Store, Data Management, Data Processing, Continuous Deployment, Data Quality, Data Storage
Google Cloud
您将获得的技能: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Processing, Keras (Neural Network Library), Data Transformation, Applied Machine Learning, Machine Learning, Statistical Methods
您将获得的技能: Generative AI, Continuous Monitoring, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Methods, Predictive Modeling, System Monitoring, Data Quality
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Data Governance, Data Management, Workflow Management, Data Pipelines, Google Cloud Platform, Applied Machine Learning, Feature Engineering, Machine Learning, Continuous Monitoring
Google Cloud
您将获得的技能: Google Gemini, Kubernetes, Google Cloud Platform, DevOps, Infrastructure as Code (IaC), Development Environment, CI/CD, Cloud Management
您将获得的技能: Dataflow, Data Pipelines, Data Processing, Debugging, Performance Tuning, Serverless Computing, CI/CD, Unit Testing, Google Cloud Platform, Disaster Recovery, Integration Testing
总之，以下是 10 最受欢迎的 operations research 课程
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
- Gemini for DevOps Engineers - Deutsch: Google Cloud
- Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık: Google Cloud
- Vertex AI でノートブックを使用する: Google Cloud
- Die vielfältigen Formen generativer KI : Google Cloud
- Developing a Google SRE Culture - 日本語版: Google Cloud
- MLOps with Vertex AI: Manage Features - 한국어: Google Cloud
- Feature Engineering - Italiano: Google Cloud
- MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어: Google Cloud
- Machine Learning in the Enterprise - Italiano: Google Cloud
