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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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Regulation and Legal Compliance
- General Data Protection Regulation (GDPR)
- Project Planning
- Compliance Auditing
- Personally Identifiable Information
- Technical Communication
- Dataflow
- Performance Analysis
- Data Management
- Jira (Software)
- Data Strategy
- Data Pipelines
- Data Processing
- Process Analysis
- Data Quality
- Data Ethics
- Data Governance
- Data Storage
Details to know
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Recently updated!
January 2026
Taught in English
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There is 1 module in this course
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.
What's included
6 videos3 readings4 assignments
Instructor
Offered by
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