Track detail
LLM Product Building
Design prompts, evaluations, and product workflows for practical LLM applications.
LLM Product Building
At a glance
- check_circleLLM Product Building complete path
- check_circleBuilt from 4 composition blocks
- EvalsIncluded
- Projects2
- APIsOpenAI-ready
-40%₩89,000₩149,000
Composition
How this track is built (3 skill blocks + 1 scenarios)
This track is built from 3 skill blocks. Each block runs in its own isolated runtime.
view_moduleSkill blockwasm_pyodide
Python 기초
Python 언어의 기본 문법과 실행 환경을 익히는 기술 블록
python4 children
view_moduleSkill blockwasm_pyodide
LLM 기초
토큰·컨텍스트·프롬프팅·샘플링 파라미터 등 대형 언어 모델의 기본 개념
python
view_moduleSkill blockwasm_pyodide
RAG 패턴 · 벡터 DB
청킹, 임베딩, 벡터 검색, 인용 포함 응답 생성까지 RAG 파이프라인 구축
python
flagScenario
LLM RAG 어시스턴트 구축 여정
Python·LLM·RAG 블록을 엮어 벡터 검색 기반 RAG 어시스턴트를 만드는 시나리오
Requirespython-basicsllm-basicsrag-patterns
Curriculum
See what you will learn in each module.
LLM Evaluation Workflows
Lessons0
Labs0
Included courses
Courses in this track
LLM Evaluation Workflows
LLM Evaluation Workflows
Design prompt checks, hidden evals, and product review loops for LLM features.
FAQ
Questions learners often ask before enrolling.
Is this suitable for teams?
Yes — supports both individual learners and organization seats.