Skip to content
Backend Engineering Academy · v1.0.0

Master production AI backends, line by line.

A complete course on building, running, and observing LLM agents with FastAPI, LangGraph, Chroma RAG, and Next.js — verified against a real codebase, including the parts that are unfinished or buggy.

Start LearningView Roadmap
127 pages36 lessons7 modules9h of reading

The stack you'll master

FastAPI

Routers, DI, lifecycle, auth

Services

OpenAI, monitoring, email, docs

LangGraph + RAG

Corrective RAG over Chroma

Next.js 15

App Router proxy & UI

127
Documentation pages
36
Hands-on lessons
103,408
Words of teaching
20
API endpoints covered

Seven modules, one codebase

Each module builds on the last — from your first request lifecycle to a full corrective-RAG pipeline in production.

Beginner
Module 1

Foundation

Architecture, request lifecycle, folder structure, and the database layer — the five lessons everything else builds on.

5 lessonsExplore
Beginner
Module 2

Data Layer

9 SQLAlchemy models, 27 Pydantic schemas, and a map of the service layer.

3 lessonsExplore
Intermediate
Module 3

Services Deep Dive

Line-by-line: OpenAI, monitoring, multi-agent email, documents, and the RAG graph.

5 lessonsExplore
Intermediate
Module 4

API & Business Logic

All 20 endpoints, dependency injection, authentication, workflows, and agents.

7 lessonsExplore
Advanced
Module 5

Advanced AI Engineering

RAG pipeline, embeddings, ChromaDB, LangGraph, prompt engineering, and memory.

7 lessonsExplore
Advanced
Module 6

Production Mastery

Logging, exceptions, testing, performance, security, caching, and configuration.

7 lessonsExplore
Advanced
Module 7

Integration & Flow

One chat request traced end to end, with a full timing breakdown.

1 lessonsExplore

Your learning path

A guided roadmap from fundamentals to production mastery.

  1. 1

    Foundation

    Beginner

    Architecture, request lifecycle, folder structure, and the database layer — the five lessons everything else builds on.

  2. 2

    Data Layer

    Beginner

    9 SQLAlchemy models, 27 Pydantic schemas, and a map of the service layer.

  3. 3

    Services Deep Dive

    Intermediate

    Line-by-line: OpenAI, monitoring, multi-agent email, documents, and the RAG graph.

  4. 4

    API & Business Logic

    Intermediate

    All 20 endpoints, dependency injection, authentication, workflows, and agents.

  5. 5

    Advanced AI Engineering

    Advanced

    RAG pipeline, embeddings, ChromaDB, LangGraph, prompt engineering, and memory.

  6. 6

    Production Mastery

    Advanced

    Logging, exceptions, testing, performance, security, caching, and configuration.

  7. 7

    Integration & Flow

    Advanced

    One chat request traced end to end, with a full timing breakdown.

Quick start

Clone the repo and have the full stack running in minutes.

Backend · FastAPI
$cd backend
$uv sync
$uv run uvicorn app.main:app --reload --port 8001
Frontend · Next.js
$cd frontend
$npm install
$npm run dev

Ready to build production AI backends?

Start with the course introduction and work through all 36 lessons at your own pace.

Begin the Academy