Role-Driven Mastery System

Master the skills the job market is actually hiring for.

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RAG, Search & Knowledge Systems

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8 lessons1 capstone project

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Curated Certification CAI05

Ground LLMs in trusted data using embeddings, vector search, knowledge graphs, GraphRAG and retrieval evaluation.

Benchmark: Curated source set: Neo4j GraphAcademy + DeepLearning.AI + LlamaIndex + DeepLearning.AI + Chroma + DeepLearning.AI + Weaviate + DeepLearning.AI + Neo4j -- 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. Neo4j & GenerativeAI Fundamentals

2. Introduction to Vector Indexes & Unstructured Data

3. Neo4j and Generative AI Workshop

4. Neo4j & Generative AI Certification

5. Building Agentic RAG with LlamaIndex

6. Advanced Retrieval for AI with Chroma

7. Vector Databases: from Embeddings to Applications

8. Knowledge Graphs for RAG

Hands-On Mastery Capstone

Build and compare vector RAG and GraphRAG over the same corpus. Measure retrieval quality, grounded-answer quality, latency and failure modes; include at least one hybrid or graph-enhanced retrieval strategy.

Proof Rubric

  • repository / notebook / artifact
  • evaluation evidence
  • short technical or executive readout
  • reflection