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AI Agent Development

Learn LLM and GPT Basics in 1 Hour

This course explains the basic concepts of LLM and GPT in an easy-to-understand way for everyone. Students can directly use the GPT API to create chatbots and run them on the web using Streamlit. By experiencing everything from basics to hands-on practice, you can solidly establish your first steps in AI utilization.

4 learners are taking this course

  • Essential
실습 중심
AI 활용법
AI 코딩
토이프로젝트
Python
AI
ChatGPT
Generative AI
Deep Learning(DL)

What you will learn!

  • Learn the principles of how LLMs work.

  • You can implement your own chatbot by directly calling the ChatGPT API.

  • You can run the chatbot you created on the web using Streamlit UI and visually verify it.

  • Learn effective questioning techniques to elicit desired responses through prompt engineering.

Learn LLM and GPT in just 1 hour and create your own AI chatbot! 😊

In this course, you can directly experience Large Language Models (LLM) and ChatGPT API, which are at the core of the latest AI technology, and create immediately usable chatbots through hands-on practice.

Features of this course

📌[[SPAN_1]][[/SPAN_1]][[STRONG_2]]짧고 핵심적인 1시간 구성[[/STRONG_2]]으로 복잡한 이론보다 실습 중심으로 빠르게 이해합니다.

📌Build your own chatbot using OpenAI API and Streamlit with a focus on practical application.

📌 Learn how to effectively communicate questions to AI through prompt engineering

📌 With just basic Python knowledge even programming beginners can easily follow along with step-by-step guidance.

I recommend this for people like this

I'm curious about the development process
Non-developers or beginner developers who want to see how LLM and GPT technologies are actually implemented into real services

I'm curious about the internal workings of AI services
For those who want to experience the entire flow from API integration, UI implementation, to prompt engineering

I want to apply this to real-world projects.
For those who want to apply artificial intelligence (AI)-based conversational service ideas to practical work

After taking the course

  • You can directly build and test your own AI chatbot.

  • You will gain experience using the OpenAI API and develop prompt design skills.

  • You'll gain the confidence to actually implement AI service ideas.


You'll learn content like this.

Basic Concepts of LLM and GPT

Learn the basic structure and operating principles of large language models, and study the process by which AI generates text.

OpenAI API Practical Exercise

From API key issuance to basic question and answer testing, you'll learn by actually calling the ChatGPT API.

Prompt Engineering

Learn how to design questions that enable AI to produce exactly the results you want, and master practical know-how.

Upgrade to Web Application After Creating AI Chatbot

Implement your own chatbot using Python and Streamlit, and practice the process of serving it with an interactive web UI.

The person who created this course

  • A current developer who primarily works with frontend development. I create lectures on programming fundamentals, syntax, and framework technologies.

  • Don't clutter your mind with unnecessary information! We aim for practical lectures that teach you only the essentials.

Pre-enrollment Reference Information

Practice Environment

  • The course is explained based on Windows and Visual Studio Code, but you can easily follow along in other development environments such as MacOS.

Learning Materials

  • I'll provide it as a Notion link!

Prerequisites and Important Notes

  • Basic Python syntax

Recommended for
these people

Who is this course right for?

  • Those who are new to AI, LLM, and GPT and want to learn step by step from the basics to hands-on practice

  • Developers and students who want to gain chatbot development experience through hands-on practice

Need to know before starting?

  • Python Programming Fundamentals

Hello
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Learners

8

Reviews

5.0

Rating

4

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실용적인 예제실무 적용 방법을 안내합니다.
효율적인 학습을 위해 꼭 필요한 내용만 담아 빠르게 이해하고 적용할 수 있는 강의를 제공합니다.

Curriculum

All

9 lectures ∙ (1hr 3min)

Published: 
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