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
AI Data: Analyze, Govern, Plan
This course is part of Managing AI Projects That Ship and Scale Specialization
Instructor: ansrsource instructors
Access provided by Xavier School of Management, XLRI
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
- Technical Communication
- Data Pipelines
- Process Analysis
- Project Planning
- Performance Analysis
- Data Storage
- Data Governance
- Dataflow
- Personally Identifiable Information
- Data Strategy
- General Data Protection Regulation (GDPR)
- Regulation and Legal Compliance
- Data Quality
- Jira (Software)
- Data Management
- Data Processing
- Compliance Auditing
- Skills section collapsed. Showing 10 of 17 skills.
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Taught in English
Recently updated!
December 2025
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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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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
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