Unstructured Data Engineering for AI
Completed by Indiana Jeremy teremiti Tempié
August 24, 2026
23 hours (approximately)
Indiana Jeremy teremiti Tempié's account is verified. Coursera certifies their successful completion of Unstructured Data Engineering for AI
What you will learn
1.Build ingestion and extraction workflows for documents and multimodal AI corpora.
2. Apply OCR-aware processing, normalization, and PII-safe corpus preparation.
3. Design chunking and metadata enrichment for retrieval, training, and citation use cases.
4. Apply safety, licensing, bias, and source-quality gates to unstructured AI data assets.
Skills you will gain
- Category: Text Mining
- Category: Data Lakes
- Category: Data Quality
- Category: Unstructured Data
- Category: Data Engineering
- Category: Data Architecture
- Category: Information Architecture
- Category: Taxonomy
- Category: Metadata Management
- Category: Release Management
- Category: Data Cleansing
- Category: Data Capture
