Capstone: Build and Operate an AI-Native Data Platform
Completed by Indiana Jeremy teremiti Tempié
August 25, 2026
25 hours (approximately)
Indiana Jeremy teremiti Tempié's account is verified. Coursera certifies their successful completion of Capstone: Build and Operate an AI-Native Data Platform
What you will learn
1.Define a business-relevant AI-native data engineering use case and success criteria.
2.Design and implement an end-to-end platform with governance and validation controls.
3.Create monitoring, incident-response, and CI/CD plans for production AI data systems.
4.Present a portfolio-ready architecture and implementation story with tradeoffs and value.
Skills you will gain
- Category: Model Training
- Category: Data Governance
- Category: Data Lakes
- Category: AI Workflows
- Category: AI Integrations
- Category: Enterprise Architecture
- Category: AI Enablement
- Category: Data Quality
- Category: Responsible AI
- Category: Data Pipelines
- Category: Technical Communication
- Category: Data Transformation
