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edX AI Development Pipeline Prep Assessment: 5 Critical Skill Areas
| AI Pipeline Skills | Score |
|---|---|
| Intent & Context Prompt engineering and contextual scope. | 85 |
| Data & Knowledge Data engineering, embeddings, vector DBs. | 83 |
| Model Deployment LLMs/SLMs, NLP, NER, SFT, RLHF. | 86 |
| Inference & Reasoning RAG, AI agents and orchestration. | 84 |
| Application Interfaces Natural language to SQL and Python. | 78 |
Overall Score
Scoring Rational
University-backed programs provide depth with guided cloud labs and frequent capstones in professional tracks. Skills are assembled across multiple courses rather than a single bootcamp. Vendor-run labs mirror enterprise tooling and workflows.
Scoring Rational
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51 - 75
75 - 100
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