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IntermediatecourseBootcamp access
Production Best Practices Guide
64
Lessons
8
Modules
🎓
Bootcamp access
Lo que aprenderás
✓Set up professional testing infrastructure for LLM applications with pytest fixtures and markers
✓Write unit tests that mock LLM responses and validate prompts as behavioral contracts
✓Handle non-deterministic outputs with semantic similarity assertions and property-based testing
✓Implement guardrails pipelines with input sanitization, prompt injection defense, and output validation
✓Detect and redact PII in LLM inputs and outputs
✓Configure structured logging with correlation IDs, token tracking, and cost monitoring
✓Apply clean architecture patterns specific to AI applications (prompt/logic/infra separation)
✓Build reliability layers with retry, circuit breakers, rate limiting, and fallback strategies
¿Para quién es?
- •AI Engineers who have built functional LLM applications and need to prepare them for production deployment
- •Backend developers adding AI features who need professional testing and code quality standards
- •Tech leads preparing teams to deploy AI systems with proper guardrails and observability
- •Startups transitioning AI MVPs to production-ready products with reliability requirements
- •Developers who want to differentiate themselves with professional AI engineering practices
Requisitos
- •Python intermediate (OOP, decorators, type hints, Pydantic basics)
- •Experience with REST APIs (FastAPI or similar)
- •Basic LLM usage (OpenAI API or equivalent)
- •Evaluation concepts from Guide #12 (metrics, golden datasets, quality measurement)
- •Basic familiarity with pytest (running tests, simple assertions)
Course content
1Módulo 1: Testing Fundamentals para AI — Guía para el Creador8 lessons
2Módulo 2: Unit Testing LLM Applications — Guía para el Creador8 lessons
3Módulo 3: Integration Testing & Estrategias No-Determinísticas — Guía para el Creador8 lessons
4Módulo 4: Guardrails — Input & Output Validation — Guía para el Creador8 lessons
5Módulo 5: Structured Logging para AI Systems — Guía para el Creador8 lessons
6Módulo 6: Code Quality Patterns para AI — Guía para el Creador8 lessons
7Módulo 7: Reliability Patterns & Production Checklist — Guía para el Creador8 lessons
8Módulo 8: Proyecto Integrador — Production-Ready AI System — Guía para el Creador8 lessons
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