Back to AI DashboardModule 12: Deployment and Production AI
AI Engineer Track
Module 12: Deployment and Production AI
Run models in production. Master Server-Sent Events streams, inputs guardrails, and automated evaluation pipelines.
Syllabus Modules
Streaming API DesignComing Soon
Design Server-Sent Events streams transmitting output tokens in real-time.
Total Lessons: 0Explore Module
Rate LimitingComing Soon
Throttling client pools queries using Redis token bucket setups.
Total Lessons: 0Explore Module
Guardrails FilteringComing Soon
Intercept prompts and outputs to block toxic terms or PII exposure.
Total Lessons: 0Explore Module
CI/CD Eval PipelinesComing Soon
Setup git commit test runners executing golden set metrics scoring.
Total Lessons: 0Explore Module
Monitoring DriftComing Soon
Evaluate semantic distributions differences in user queries over time.
Total Lessons: 0Explore Module
Track Progress
0 / 7Projects Verified
Learning Outcomes
- Implement Server-Sent Events (SSE) streaming model completions
- Add input/output guardrail checks filtering toxic or sensitive terms
- Configure automated evaluation pipelines checking schema accuracy on commit
Interview Defense
- Compare serverless hosting vs dedicated GPU provisioning for custom models
- Design telemetry setups monitoring model outputs drift in production