BEMOD.BE-08 · v1.0
Stream LLM responses.
Ship LLM features in your Python / Node / Go service.
8 micro-lessons · ~66 min · Real Docker images
THE RACK · POWERED
RACK.A · 4U USED
ONLINE
LLM-API· 1U
VECTOR· 1U
QUEUE· 1U
MONITOR· 1U
LOAD 0.42· MEM 8.1G· UPTIME 47d
4U BOOTED · ports nominal · zero alarms
BEROLE TRACK
AI for Backend Engineers
Ship LLM features in your Python / Node / Go service.
WHY THIS MATTERS · SNAP INTERNAL
Most-requested role track in 2025-Q4 user survey.
01LLM streaming in Node/Python
02Function calling
03Vector DB ops
04Cost guardrails
05Observability
Stream LLM responses cleanly
Wire function calling with retries
Cost-bound a feature in production
SKILLS YOU'LL GAIN
Real skills, real career delta.
Skills you'll gain
07- Stream LLM responses cleanlyWorking
Outcome from completing the course: stream llm responses cleanly.
- Wire function calling with retriesWorking
Outcome from completing the course: wire function calling with retries.
- Cost-bound a feature in productionWorking
Outcome from completing the course: cost-bound a feature in production.
- LLM streaming in Node/PythonWorking
Covered in lesson sequence — drop-in ready.
- Vector DB opsWorking
Covered in lesson sequence — drop-in ready.
- Cost guardrailsWorking
Covered in lesson sequence — drop-in ready.
- ObservabilityWorking
Covered in lesson sequence — drop-in ready.
$ docker pull snap/ai-backend:lesson-01
$ docker run --rm -it snap/ai-backend:lesson-01
snap/ai-backend:lesson-01
Streaming lesson fixed our flaky chat UX in 4 minutes.
@be_blakeVERIFY ON GITHUB
Cost-guardrails: now our default mid-fn pattern.
@sre_mayaVERIFY ON GITHUB
LESSONS8
HOURS~1.1
LEARNERS2,890
THIS WEEK+12%