GraphDB Mastery
The complete curriculum for Graph Database Engineers — from Neo4j architecture and Cypher to Graph Algorithms, JanusGraph & Gremlin, and Context Graphs for AI. 2026 Edition.
Complete graph database stack covered — 2026 Edition
Learning path — 5 API families
Everything you need to land the role
76 files, 200+ Q&A, real architecture patterns — structured from beginner to expert.
Complete Graph Stack — One Curriculum
Neo4j architecture, Cypher query language, graph data modeling, GDS algorithms, JanusGraph, Gremlin, context graphs for AI, production operations, and integration patterns.
200 Interview Q&A
Questions organized by topic — Cypher (Q1-30), graph modeling (Q31-60), algorithms (Q61-90), JanusGraph/Gremlin (Q91-120), AI context graphs (Q121-150), production ops (Q151-200).
Deep Cypher & Python Code
Production-grade implementations: Neo4j Python driver patterns, Cypher query optimization, APOC procedures, GDS algorithm calls, Gremlin traversal patterns, and graph RAG pipelines.
Context Graphs for AI
Knowledge graphs for RAG, vector + graph hybrid search, entity extraction pipelines, GraphRAG with LLMs — every emerging AI graph pattern covered in depth.
Graph Data Modeling Mastery
Node and relationship design patterns, property graph vs RDF, schema-less modeling, whiteboard graph modeling frameworks — with when-to-use-each decision guides.
Production Operations
Index strategy, query profiling, EXPLAIN/PROFILE plans, causal clustering, backup/restore, monitoring — the operational patterns that make graph databases production-ready.
Built for real target roles
Not generic documentation. Every section calibrated to what graph database engineers, ML engineers, and distributed systems engineers are actually tested on.
Enterprise / AI Platform Team
Graph Database Engineer
Design and operate graph database systems at scale. Requires deep Cypher expertise, graph data modeling, and production operations knowledge — exactly what this curriculum trains.
AI-Native SaaS (Series A–C)
ML / AI Graph Engineer
Build AI-powered context graphs and RAG pipelines. Knowledge graphs for LLMs, GraphRAG, vector + graph hybrid search — the bleeding edge covered in this curriculum.
Enterprise / Data Platform
Senior Graph Developer
Build large-scale distributed graph systems with JanusGraph. Gremlin traversals, backend storage integration, horizontal scaling — all covered in depth here.
Sample interview Q&A
Two questions from the full 200+ library — see the depth before you buy.
What the hiring bar looks like
Modeled on real interview patterns — representative quotes calibrated to what L2C architects hear in final rounds
“Nine-stage L2C pipeline from demand to expansion — exactly the architecture Northwind AI tests in senior systems interviews.”
Simple, transparent pricing
One role-winning curriculum. Less than a single hour of coaching — with 200+ answers you can use tomorrow.
Solo
Full curriculum access
Less than 1 hour of consulting time
- Full 12-section curriculum
- 200+ interview Q&A with model answers
- Code examples & visual diagrams
- Quarterly content updates
Pro
Curriculum + support
Includes 1:1 onboarding + priority support
- Everything in Solo
- Priority email support
- 1:1 onboarding call (30 min)
- Early access to new sections
- Interview prep checklist PDF
14-day money-back guarantee · Questions? access@graphdbmastery.com
Ready to walk into your Graph Database interview fully prepared?
Every Q&A, every Cypher pattern, every graph design decision — built for the exact role you're targeting.
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The graph database interview is won before you walk in
Build the Neo4j and graph database knowledge that makes the hiring team say “this person has shipped it.”
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