Strategy
Model strategy: prompting vs RAG vs fine-tuning
Choose between prompting, retrieval and fine-tuning using evidence.
Target proficiency: Applied
Course outcomes
- AIN 401 CO3
Design an AI-native system architecture — retrieval, agents, tools, memory and guardrails — through an AI-DLC gated workflow from Inception to Construction.
- AIN 401 CO4
Evaluate AI systems with golden sets, calibrated LLM-as-judge, cost/latency metrics and CI regression gates, and justify engineering decisions with evidence.
- MST 508 CO1
Demonstrate Foundations & Theory competence: complete the Day 1–15 builds, explain the underlying theory, and defend the phase artefact under live questioning.
- MST 508 CO6
Demonstrate Production LLMOps, Security & Mastery competence: complete the Day 76–90 builds, explain the underlying theory, and defend the phase artefact under live questioning.