AI-Ready Data, Search & Vector Systems
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Curated Certification CDA09
Prepare modern data foundations for RAG, semantic retrieval, agents and natural-language analytics.
Benchmark: Curated source set: MongoDB University + Neo4j GraphAcademy + Microsoft Learn + Databricks Academy + Kaggle Learn -- Credential note: this is a Zuyini mastery certificate built from the cited public courses. It is not issued, sponsored or endorsed by the source institutions, providers or companies.
Core Course Stack
1. Vector Search Fundamentals
2. RAG with MongoDB
3. AI Data Strategy with MongoDB
4. Search Fundamentals
5. GraphAcademy - Graph Data & GenAI Courses
6. Get Started with Fabric IQ
7. Databricks Fundamentals Accreditation
8. Data Cleaning + Feature Engineering
Hands-On Mastery Capstone
Build an AI-ready data layer for a domain: ingest structured/unstructured content, define metadata and chunking, create vector/graph retrieval, measure retrieval quality and expose governed context to an agent or NL analytics experience.
Proof Rubric
- data contracts
- indexed corpus
- retrieval eval set
- vector/graph queries
- governance controls
- latency/cost/quality report