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AI Reliability Engineering 2.0: Production AI Systems Masterclass

Event artwork for AI Reliability Engineering 2.0: Production AI Systems Masterclass

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About this event

What to expect

Master the critical discipline of ensuring production AI systems remain stable, predictable, and trustworthy with this comprehensive three-week online course. As organisations deploy increasingly complex AI agents and LLM-powered applications, the gap between prototype and production-ready systems has never been wider. This masterclass from The Principal Dev tackles the unique reliability challenges that emerge when traditional software meets generative AI.

Running from May 4–22, 2026, this course is designed for technical leads, senior engineers, and AI practitioners responsible for productionising machine learning systems. You'll dive deep into the frameworks and practices needed to build resilient AI infrastructure — from monitoring non-deterministic outputs and debugging emergent behaviors to implementing robust fallback strategies when models hallucinate or drift.

What You'll Learn

  • Observability for AI Systems: Move beyond traditional metrics to track model confidence, prompt effectiveness, and output quality in production
  • Testing Strategies: Design comprehensive test suites for non-deterministic systems, including adversarial testing and boundary case detection
  • Incident Response: Develop runbooks for AI-specific failures like sudden quality degradation, unexpected token costs, or prompt injection attacks
  • Cost & Performance Optimisation: Balance reliability with operational costs through caching strategies, model selection, and intelligent request routing
  • Human-in-the-Loop Patterns: Implement escalation pathways and feedback mechanisms that improve system reliability over time

The course combines theoretical foundations with hands-on scenarios drawn from real production incidents. You'll work through case studies covering RAG pipelines, agent orchestration, and multi-model systems, learning to anticipate failure modes before they impact users.

Ideal for teams in Sheffield and beyond who are moving beyond AI experiments into production deployment, this remote-friendly format allows you to learn alongside your day job. The Principal Dev brings deep expertise in technical leadership and production engineering, making this essential training for anyone responsible for the reliability of AI-powered systems.

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