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
This course is part of Managing AI Projects That Ship and Scale Specialization
Instructor: ansrsource instructors
Included with
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
- Data Strategy
- Data Quality
- Regulation and Legal Compliance
- Personally Identifiable Information
- Project Planning
- Technical Communication
- Data Pipelines
- Performance Analysis
- Dataflow
- Data Governance
- Data Integrity
- Data Management
- Process Analysis
- Jira (Software)
- Data Storage
- General Data Protection Regulation (GDPR)
- Compliance Auditing
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Recently updated!
December 2025
Taught in English
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This course is part of the Managing AI Projects That Ship and Scale Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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