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语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
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课程长度必需的
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“临床营养学” 的结果
Google Cloud
您将获得的技能: Google Gemini, Google Cloud Platform, Kubernetes, Prompt Engineering, Cloud Infrastructure, Infrastructure as Code (IaC), Application Deployment, Cloud Computing Architecture, Unix Commands
您将获得的技能: Data Ethics, Responsible AI, Data Analysis, Data Visualization Software, Artificial Intelligence, Machine Learning, Applied Machine Learning
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Data Modeling, Machine Learning, Exploratory Data Analysis
状态：预览您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Applied Machine Learning, Data Analysis, Exploratory Data Analysis, Machine Learning
状态：预览Google Cloud
您将获得的技能: Big Data, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning
状态：新Google Cloud
您将获得的技能: Data Loss Prevention, Data Governance, Gmail, Google Workspace, Data Management, Information Management, Data Security, Regulatory Requirements, Record Keeping, Data Storage, Document Management, Email Security, Personally Identifiable Information, Data Import/Export
状态：新Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Jupyter, Google Cloud Platform, Machine Learning, Virtual Machines, Development Environment, Exploratory Data Analysis
状态：免费试用您将获得的技能: Responsible AI, Data Ethics, Interoperability, Applied Machine Learning, Data Integrity, Machine Learning, Artificial Intelligence, Software Visualization, Data Visualization Software
您将获得的技能: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Applied Machine Learning, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning, Analytics, Jupyter, Artificial Intelligence, Natural Language Processing
状态：新Google Cloud
您将获得的技能: Generative AI, Responsible AI, Google Cloud Platform, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Ethics, Large Language Modeling, Deep Learning, Data-Driven Decision-Making, Machine Learning
Google Cloud
您将获得的技能: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Processing, Keras (Neural Network Library), Data Pipelines, Data Transformation, Machine Learning, Applied Machine Learning, Data Modeling, Statistical Methods
您将获得的技能: Load Balancing, Hybrid Cloud Computing, Google Cloud Platform, Network Performance Management, Cloud Security, Network Routing, Performance Tuning, Distributed Denial-Of-Service (DDoS) Attacks
总之，以下是 10 最受欢迎的 临床营养学 课程
- Gemini for Cloud Architects - 日本語版: Google Cloud
- Responsible AI: Interpretability & Transparency - Deutsch: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - 한국어: Google Cloud
- BigQuery Machine Learning für Inferenzen nutzen: Google Cloud
- Google Workspace のデータ ガバナンス: Google Cloud
- Trabaja con Notebooks en Vertex AI: Google Cloud
- Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık: Google Cloud
- Smart Analytics, Machine Learning and AI on GC - 한국어: Google Cloud
- 생성형 AI: 기본 개념 이해: Google Cloud
