红帽全球峰会1.2. 关于本指南
本指南假定您熟悉数据科学和 ML Ops 概念。它描述了以下任务以使用 OpenShift AI：
- 登录到 OpenShift AI 仪表板
- 创建数据科学项目
- 如果您在对象存储中存储了数据，请配置连接以更轻松地访问它
- 为您的数据科学家开发工作创建一个工作台，再选择一个 IDE，如 JupyterLab 或 code-server
了解在哪里获取有关后续步骤的信息：
- 开发和培训模型
- 使用管道自动化工作流
- 实施分布式工作负载
- 测试您的模型
- 部署模型
- 监控和管理您的模型
另请参阅 OpenShift AI 教程：Fraud 检测示例。它为使用 OpenShift AI 在 JupyterLab 中开发和培训示例模型、部署模型并使用自动化管道优化模型提供了分步指导。
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