

[May Refund Course] Practical Agentic AI Development: LLM + RAG + Tools + Workflow
You are using AI, but why are you still the one assigning the next task? This is a practical, hands-on course that goes beyond simply calling an LLM to teach you how to design Agents that actually complete tasks from start to finish. It’s not just about knowing RAG, Tools, and Reasoning individually; it’s about connecting them into a structure—knowing when to search, when to judge, and how to transition to the next action. You will directly design and implement a functional AI Agent system that understands goals and completes results without the need for repetitive instructions.


1개 수업 학습
5회 미션 수행
라이브 2 회
성취의 증표, 수료증을 발급해요.
질문하고 즉시 답을 얻어요.
학습자는 0월에 수강신청 가능
기업에선 총 학습 비용의 10%만!!
inflearngov님과 함께해요!
30
Learners
17
Reviews
4.3
Rating
9
Courses
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함께 소통할 수 있는 라이브가 예정되어 있어요!
05.12.Tu
AM 05:00
Tool Integration과 ReAct Agent & 실전 프로젝트: 업무 자동화 Agent 만들기
5월
7일
챌린지 시작일
2026년 5월 7일 AM 04:00
챌린지 종료일
2026년 5월 14일 PM 02:59
챌린지 커리큘럼
All
8 lectures ∙ (3hr 13min)
Course Materials:
챌린지에서 배워요
Designing an Agent Workflow that carries tasks through to completion
Practical design for controlling ‘when to use and when not to use’ RAG
Connect the tool as an Agent's action rather than a 'script'
Recommended for
these people
Who is this course right for?
Developers who want to quickly apply AI/LLM to their work to create agents and automation
Developers who want an end-to-end implementation, including RAG construction and tool integration.
A developer who understands basic Python syntax and is utilizing it in practical development.
Need to know before starting?
Python
(Free Lecture) LangChain Basics for Beginners
Reviews
이 강의의 지난 수강평
취소 및 환불 규정
챌린지는 지식공유자가 설정한 수업 최소 정원이 충족되지 않을 경우, 폐강 안내가 고지되며 결제 내역이 자동취소됩니다.

