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在整个课程（说明和评估）中使用的语言。
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“科学方法” 的结果
您将获得的技能: Responsible AI, Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Machine Learning, Data Quality, Data Analysis, Data Validation
Google Cloud
您将获得的技能: Google Cloud Platform, Database Administration, Query Languages, Database Management Systems, Generative AI, Data Store, Machine Learning
您将获得的技能: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Tensorflow, Artificial Intelligence, Machine Learning, Natural Language Processing
您将获得的技能: Kubernetes, Containerization, Cloud Infrastructure, Application Deployment, Google Cloud Platform, Docker (Software), Cloud Computing, Cloud Management, Microservices, Command-Line Interface
您将获得的技能: Responsible AI, Data Ethics, Data Analysis, Data Modeling, Artificial Intelligence, Machine Learning, Technical Documentation, Software Documentation
状态：新状态：预览Northeastern University
您将获得的技能: Exploratory Data Analysis, Data Mining, Dimensionality Reduction, Machine Learning Algorithms, Regression Analysis, Data Science, Big Data, Data-Driven Decision-Making, Data Processing, Data Analysis, Feature Engineering, Analytics, Predictive Modeling, Classification And Regression Tree (CART), Statistical Methods, Supervised Learning, Data Transformation, Data Cleansing, Machine Learning, Data Visualization Software
您将获得的技能: Application Deployment, Cloud Infrastructure, Google App Engine, Kubernetes, Google Cloud Platform, Network Architecture, Microservices, CI/CD, Distributed Denial-Of-Service (DDoS) Attacks, API Design, Cloud Computing Architecture, Cloud Storage, Service Level Agreement, Systems Design, DevOps, Cloud Security, Scalability, System Monitoring
Google Cloud
您将获得的技能: Google Gemini, Generative AI, Prompt Engineering, Google Workspace, Grammar, Gmail
状态：新状态：预览Microsoft
您将获得的技能: Generative AI, Artificial Intelligence, AI Product Strategy, Responsible AI, Machine Learning, Natural Language Processing
Google Cloud
您将获得的技能: Google Gemini, Generative AI, Cloud Development, Google Cloud Platform, Software Development Tools, Application Development, Integrated Development Environments, Code Review
您将获得的技能: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Tensorflow, Prompt Engineering, Artificial Intelligence, Machine Learning, Cloud Infrastructure, Data Processing, Feature Engineering
状态：新Google Cloud
您将获得的技能: Generative AI, Responsible AI, Google Cloud Platform, Artificial Intelligence, Large Language Modeling, Data-Driven Decision-Making, Machine Learning, Unstructured Data, Data Quality
总之，以下是 10 最受欢迎的 科学方法 课程
- Responsible AI for Developers: Fairness & Bias - Español: Google Cloud
- Configuring Vector Search in AlloyDB: Google Cloud
- Introduction to AI and Machine Learning on GC - 한국어: Google Cloud
- Architecting with Google Kubernetes Engine: Foundations 简体中文: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Español: Google Cloud
- Machine Learning and Data Analytics Part 1: Northeastern University
- Reliable Cloud Infrastructure: Design and Process - 繁體中文: Google Cloud
- Gemini in Google Docs - 简体中文: Google Cloud
- Microsoft Ruta ExperiencIA: Microsoft
- Gemini for Application Developers - 简体中文: Google Cloud
