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主题必需的
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
级别必需的
课程长度必需的
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教师必需的
“科学可视化” 的结果
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Data Analysis, Machine Learning, Applied Machine Learning
状态：预览您将获得的技能: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Responsible AI, Verification And Validation, Machine Learning
Google Cloud
您将获得的技能: Google Gemini, Cloud Security, Generative AI, Security Controls, Google Cloud Platform, Security Testing, Application Deployment, Vulnerability Scanning, Security Engineering
您将获得的技能: Big Data, Analytics, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Predictive Modeling, SQL
您将获得的技能: Responsible AI, Artificial Intelligence, Data Ethics, Data Modeling, Machine Learning
- 状态：预览
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Software Visualization, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Analysis, Machine Learning Methods, Technical Documentation, Applied Machine Learning, Machine Learning
您将获得的技能: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence, Natural Language Processing
状态：新Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Integrated Development Environments, Development Environment
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Data Modeling, Machine Learning, Exploratory Data Analysis
您将获得的技能: MLOps (Machine Learning Operations), Generative AI, Responsible AI, Security Testing, Predictive Modeling, Verification And Validation, Data Validation, Machine Learning
- 状态：新
Google Cloud
您将获得的技能: Jupyter, Google Cloud Platform, MLOps (Machine Learning Operations), Computing Platforms, Machine Learning, Development Environment, Exploratory Data Analysis
Google Cloud
您将获得的技能: Google Gemini, DevOps, CI/CD, Application Performance Management, Google Cloud Platform, Kubernetes, Generative AI Agents, Artificial Intelligence
总之，以下是 10 最受欢迎的 科学可视化 课程
- Responsible AI for Developers: Interpretability & Transparency - Français: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français: Google Cloud
- Gemini for Security Engineers - 日本語版: Google Cloud
- Cómo utilizar BigQuery ML para ejecutar inferencias: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Bahasa Indonesia: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - 한국어: Google Cloud
- Smart Analytics, Machine Learning and AI on GC - 한국어: Google Cloud
- Utiliser des notebooks dans Vertex AI: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
