Final Exam Locked
You must pass every module assessment (≥80%) before unlocking the CLLME™ Final Exam.
- Module 1 — Foundations of LLMs
- Module 2 — Tokenization & Text Processing
- Module 3 — Embeddings & Representation Learning
- Module 4 — Attention Mechanisms
- Module 5 — Transformer Architecture
- Module 6 — Training LLMs
- Module 7 — Fine-Tuning & Adaptation
- Module 8 — RLHF & Alignment
- Module 9 — Evaluation & Benchmarking
- Module 10 — Serving & Deployment
- Module 11 — Scaling & Optimization
- Module 12 — Capstone Preparation
Authoritative sources
Independent primary sources used to check and corroborate the guidance on this page.
- NIST National Initiative for Cybersecurity Education (NICE)
US national framework for cybersecurity work roles and competencies.
- Financial Action Task Force (FATF)
Global AML/CFT standards referenced by financial-crime curricula.
- FBI Internet Crime Complaint Center — Annual Reports
Primary loss and typology data used in fraud-investigation training.
- US Federal Trade Commission — Consumer Sentinel Data Book
Official complaint statistics for teaching fraud trend analysis.
