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1. weights-to-prodweights-to-prodPublic

   From model.fit() to models that survive production — a phased climb through ML fundamentals and the MLOps layer: versioning, serving, drift, scale.

   Jupyter Notebook 2

2. scratch-to-scalescratch-to-scalePublic

   From console.log to production-grade systems — a phased, project-driven climb through the full stack, documented in public, with nothing left at "works on my machine."

   JavaScript 2

3. commit-to-clustercommit-to-clusterPublic

   A structured DevOps path from Linux fundamentals to production clusters — every phase ships a real pipeline or running system, not just notes on theory.

   Dockerfile

4. AgenticJVMAgenticJVMPublic

   From public static void main to autonomous multi-agent systems — a code-first journey through Java, Spring AI, Google ADK, LangChain4j, and MCP.

   Java 1