LLM Finetuning : RunPod and Multi-GPU Practice
danielyouk
Packed with LLM Fine-Tuning Know-how, learned from Silicon Valley LLM Project Practitioners.
초급
LLM, RunPod, openAI API
Pythonと世界シェア1位のInteractive Brokers APIを活用して、株式取引の自動化を体系的に学習できます。

Interactive Brokers API を利用した Python 連動自動取引システムの実装
データに基づいた取引および投資
Pythonにおけるオブジェクト指向プログラミング(OOP)の深い理解
リアルタイム取引と取引スケジュール管理
学習対象は
誰でしょう?
Pythonアルゴリズムトレーディング パート1受講者、またはオブジェクト指向に対する理解をお持ちの方
株式取引の自動化を実現したい方
自身の取引活動を専門的かつ自動化されたシステムにアップグレードしたいトレーダーや投資家
前提知識、
必要でしょうか?
Pythonオブジェクト指向プログラミング
626
受講生
66
受講レビュー
74
回答
4.8
講座評価
7
講座
LLM 기반 AI 기업에서 Pod Lead로 활동
서울대학교 기계항공 공학부 졸업
유럽 소재 대학원에서 기계항공공학 석사
독일 소재 공학 연구기관에서 박사 과정 연구 수행
유럽 대형 에너지 기업에서 Senior Data Scientist 경험
영국 소재 에너지 컨설팅 기업에서 Senior Consultant 활동
Databricks 기반 데이터 엔지니어링 프로젝트 수행
Kaggle 주식 거래 AI 대회 Top 3% 성과
AI Agent 개발팀장으로 현재 활동 중
全体
20件 ∙ (2時間 7分)
講座資料(こうぎしりょう):
全体
19件
4.7
19件の受講レビュー
受講レビュー 7
∙
平均評価 5.0
5
It's a really special lecture at Infraon. You can adapt to any part, and if you follow the instructor's explanation, you'll feel like, "Ah, this is it."
Hoon! Thank you for your meaningful review.
受講レビュー 49
∙
平均評価 4.9
受講レビュー 1
∙
平均評価 5.0
受講レビュー 3
∙
平均評価 5.0
5
Thank you for the 1:1 session in this lecture!
I'm glad you found this helpful. Feel free to ask questions anytime you need anything.
受講レビュー 7
∙
平均評価 5.0
5
It was a short lecture, but it was condensed to the core, so I was able to watch it with focus. I was able to study the parts that I needed to understand more by repeating them or searching them, so it wasn't boring. I also felt like I could apply the lecture content to other places, so it was very helpful.
Thank you for leaving a review after completing the course. See you in the next lecture.
¥6,883
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