[July 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 course is a practical, hands-on program where you will learn how to design Agents that complete tasks from start to finish, going beyond simply calling an LLM. Instead of just knowing RAG, Tools, and Reasoning in isolation, you will learn how to architect them—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.
5회 미션 수행
라이브 2 회
성취의 증표, 수료증을 발급해요.
지식공유자와 멘토링 혜택!
학습자는 0원에 수강신청 가능
기업에선 총 학습 비용의 10%만!!
inflearngov님과 함께해요!
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Learners
29
Reviews
4.6
Rating
20
Courses
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함께 소통할 수 있는 라이브가 예정되어 있어요!
07.13.Mo
AM 05:00
AI Agent의 기본 구조 이해 및 RAG 활용 Agent 만들기
07.20.Mo
AM 05:00
Tool·ReAct 기반 멀티스텝 업무 자동화 Agent 만들기
7월
12일
챌린지 시작일
2026년 7월 12일 PM 03:00
챌린지 종료일
2026년 7월 23일 PM 02:30
챌린지 커리큘럼
All
7 lectures
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 tools as Agent actions rather than 'scripts'
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 applying it to practical development.
Need to know before starting?
Python
(Free Lecture) LangChain Basics for Beginners
Reviews
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취소 및 환불 규정
챌린지는 지식공유자가 설정한 수업 최소 정원이 충족되지 않을 경우, 폐강 안내가 고지되며 결제 내역이 자동취소됩니다.

