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Data Annotation and Deliverable Roadmap for an AI Annotation Project Course

Data Annotation and Deliverable Roadmap for an AI Annotation Project Course
flexible workload of 4 to 360h
certificate recognized by the MEC

What will I learn?

Matutunan ang practical workflow ng annotation at AI - mula text, image, hanggang audio - kasama ang eksaktong CSV/JSONL schema, BIO/NER labeling, at intents/sentiment. Makikita mo ang QC gamit ang Cohen's kappa at confusion matrix, reproducible scripts, at deliverables na madaling i-scale. Tatalakayin din ang ethics, licensing, provenance, at PII masking. Isang maikli, high-quality, at actionable na kurso para sa real-world projects.

Elevify advantages

Develop skills

  • Annotation workflows: Master doccano VIA formats para sa accurate labeling
  • QC and metrics: Cohen kappa at confusion matrices para labeling quality
  • Domain specific labeling: Audio text image edge cases at robust examples
  • Deliverables and reporting: exact TXT formats para sa concise reports and licensing
  • Scaling and automation: active learning and QA automation for large annotation projects

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload
Workload: between 4 and 360 hours

What our students say

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Very great course. Lots of rich information.
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