Build Production-Ready Agentic-RAG Applications From Scratch

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Build Production-Ready Agentic-RAG Applications From Scratch Reviews & Product Details

This course focuses specifically on production-readiness, not just prototyping, building a full agentic RAG stack (LangGraph, FastAPI, React) that runs locally and deploys via a fork-and-ship monorepo. Across 6 live sessions, students build an ingestion pipeline, hardened agentic workflows with retries and safety checks, a chat UI with citations, and deployment scripts, walking away with a real, working application rather than just a notebook demo, plus a framework choice memo for future projects.

Best For

Those wanting production-ready, not prototype, code Founders proving AI product value Full-stack engineers adding RAG quickly ML/LLM engineers shipping agentic RAG

Not For

Those wanting a large, mass-market community People wanting a fully self-paced format Those wanting purely theoretical AI content Complete beginners to Python or JavaScript

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About the Creator

Damien Benveniste

Damien Benveniste holds a PhD in theoretical Physics and spent over a decade in Machine Learning, most recently as a Machine Learning Tech Lead at Meta working on ad ranking model optimization at scale. Based in Long Beach, California, he founded The AiEdge Newsletter (82K+ subscribers) and now teaches production-ready AI engineering courses on Maven, including agentic RAG application development.

Long Beach, CaliforniaTechnology & AI Engineering

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Contact

Contact form: maven.com/damien-benveniste/agentic-rag

Address: Long Beach, California

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