COURSE 1
AI & Software
Understand the mathematical and security assumptions of NIST Post-Quantum standards, identify and classify cryptographic assets in a fixed local test system, experimentally evaluate ML-KEM and ML-DSA, and establish a priority-based migration roadmap.
- post-quantum-cryptography
- cryptographic-inventory
- ml-kem
- ml-dsa
- crypto-agility
- Course type
- Academic course
- Level
- graduate
- Estimated time
- 64.0 hours
- Modules
- 8 modules
- Budget
- ₩0–₩0
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COURSE 2
AI & Software
Create a fixed document set and question/answer evaluation set, then quantitatively measure retrieval quality, grounded faithfulness, citation accuracy, and failure modes to complete a reproducible RAG regression evaluation report.
- retrieval-augmented-generation
- rag-evaluation
- information-retrieval
- llm-reliability
- Course type
- Academic course
- Level
- intermediate
- Estimated time
- 96.0 hours
- Modules
- 10 modules
- Budget
- ₩0–₩100000
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