LLM Mastery for Enterprise AI Engineering
Advanced
Operate production-grade systems · 5 tutorials · 35-45 min each
Produce a defensible enterprise AI readiness packet: use-case brief, system choice, prototype, eval suite, deployment plan, governance evidence, and release decision.
Deployment Readiness
Local, on-device, API, cloud GPU, and edge deployment with identity, audit, SLO, fallback, and incident assumptions.
Evaluation and Release Gates
Benchmarks, human evals, LLM-as-judge, cost, speed, safety, privacy, prompt injection, failure severity, and release decisions.
Real-World Skills and Capstone
Build usable AI products and complete the enterprise compliance automation capstone.
Enterprise Governance and Operations
Risk classification, data governance, model/vendor governance, security, human oversight, monitoring, incident response, and change management.
Assessment Guide and Certification Standard
Rubrics, module gates, exemplar artifacts, facilitator checklist, and capstone scoring for running LLM Mastery as a cohort.