AI projects succeed or fail on the strength of their data. In this course, you’ll learn to diagnose pipeline bottlenecks, enforce governance standards, and plan data workflows that keep projects on track. Through real-world scenarios, you’ll trace issues like stale feature vectors, audit data handling for compliance with regulations such as General Data Protection Regulation (GDPR), and design actionable plans for data acquisition, storage, and annotation. You’ll also practice translating technical findings into project-ready deliverables, like drafting a Jira epic for large-scale data labeling.
AI Data: Analyze, Govern, Plan
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AI Data: Analyze, Govern, Plan
包含在 中
您将获得的技能
- Data Integrity
- Data Pipelines
- Data Governance
- Regulation and Legal Compliance
- Compliance Auditing
- Data Quality
- Performance Analysis
- Technical Communication
- Data Strategy
- Process Analysis
- Project Planning
- General Data Protection Regulation (GDPR)
- Data Management
- Personally Identifiable Information
- Data Storage
- Jira (Software)
- Dataflow
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Managing AI Projects That Ship and Scale 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有1个模块
AI projects succeed or fail on the strength of their data. In this course, you’ll learn to diagnose pipeline bottlenecks, enforce governance standards, and plan data workflows that keep projects on track. Through real-world scenarios, you’ll trace issues like stale feature vectors, audit data handling for compliance with regulations such as General Data Protection Regulation (GDPR), and design actionable plans for data acquisition, storage, and annotation. You’ll also practice translating technical findings into project-ready deliverables, like drafting a Jira epic for large-scale data labeling.
涵盖的内容
6个视频3篇阅读材料4个作业
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