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AI Researcher's Guide to Python Basic Grammar Using ChatGPT

This course is beneficial for those who wish to learn how to use ChatGPT and acquire basic Python grammar. It's also helpful for individuals looking to learn and consolidate basic Python grammar.

(4.5) 61 reviews

1,433 learners

Level Beginner

Course period Unlimited

ChatGPT
ChatGPT
Python
Python
prompt engineering
prompt engineering
ChatGPT
ChatGPT
Python
Python
prompt engineering
prompt engineering
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Reviews from Early Learners

4.5

5.0

curenaru

100% enrolled

- thank you.

5.0

오늘도

100% enrolled

This is a study method that even someone who knows nothing about Python can learn while understanding it.

5.0

sahara.han

100% enrolled

It helped me a lot.

What you will gain after the course

  • How to use ChatGPT

  • Python Basic Syntax

  • How to write ChatGPT prompts

Master Python's Basic Grammar with ChatGPT! 📌

📢 Please check before taking the class!

  • This lecture may experience uneven audio quality depending on your listening environment. Please be sure to preview the lecture before attending.

Lecture Topics 📖

Python is widely used in various fields, including data science, web development, and artificial intelligence. This course will teach you basic Python syntax and how to effectively use the ChatGPT prompt.

You'll learn the fundamental and core grammar used in Python programming. Through this course, you'll master the fundamental concepts and application of Python, allowing you to develop your skills in a variety of fields!

In particular, since you learn basic Python grammar using ChatGPT, you can also learn how to effectively utilize ChatGPT when coding or developing.

A word from a knowledge sharer ✒️

Hello! I'm a programmer and researcher with over six years of experience developing AI natural language processing. I created this course because I want to help many people who want to learn Python. Through ChatGPT, I aim to explain Python syntax in an easy-to-understand and effective way, making it easier for students to learn Python.


Course Target Audience/Course Purpose 🙆‍♀️

Python beginner

For those who are new to Python, you can learn step by step from the basics.

ChatGPT beginner

How to effectively use Python basic grammar and ChatGPT prompts

It will be helpful for those who want to learn.


Lecture Features ✨

Practice-oriented

Beyond theory, you'll learn concepts through hands-on practice, writing and executing actual code. We primarily cover frequently used Python syntax, allowing you to immediately apply what you've learned in real-world situations.

Easy explanation

Even complex concepts are explained in an easily understandable manner. The lectures are delivered in a conversational format with ChatGPT, providing an accessible and engaging learning experience.


Expected Questions Q&A 💬

Q. I don't know anything about Python. Is that okay?

This course is designed to be easy for beginners to follow, and it helps you understand the concepts through hands-on practice and examples. We also show you how to effectively learn using ChatGPT.

Q. Is there anything I need to prepare before attending the lecture?

No special preparation is required. All you need is a computer, internet access, and the ability to use ChatGPT and Google Colab.

Q. What level of content is covered in the class?

This course covers the core fundamentals of Python syntax.


Things to note before taking the course 📢

Practice environment

  • Tools used: Google Colab, etc.

Recommended for
these people

Who is this course right for?

  • Aspiring coder

  • For those who want to learn Python basic grammar

  • Python basic syntax review

  • Learn Python with ChatGPT

  • Those who want to code with ChatGPT

Need to know before starting?

  • Python Basic Knowledge (Optional, but a plus!)

Hello
This is HappyAI

5,503

Learners

331

Reviews

53

Answers

4.5

Rating

12

Courses

Lee JinKyu | Lee JinKyu

Ph.D. in AI Engineering · Adjunct Professor in the Department of AI Software · CEO of Happy AI

Hello.
I am Lee JinKyu, and I research, develop, and teach AI, focusing on natural language processing (NLP) and large language models (LLMs).

I earned a Ph.D. in Engineering specializing in Artificial Intelligence and have conducted research primarily in natural language processing and LLMs.

I am currently an adjunct professor in the Department of AI Software, teaching AI-related courses such as natural language processing and computer vision, and I run HappyAI, a generative AI company.

After working as a natural language processing and big data analysis researcher at a government-funded research institute, and then as a developer at an AI-specialized company, I currently carry out AI projects and training for businesses and public institutions.

At various companies and institutions, including Samsung SDS, KT, Hyundai Wia, and the Seoul Digital Foundation, I have conducted training and projects related to generative AI, LLMs, RAG, AI agents, and fine-tuning.

Additionally, I have conducted natural language processing and text mining research on various types of unstructured data, including documents, surveys, reviews, news media, policy, and academic data, and have experience with research and analysis projects across fields such as healthcare, policy, the environment, law, economics, and education.


Key Career History

  • Adjunct Professor in the Department of AI Software

    • Natural Language Processing

    • Computer Vision

    • Generative AI

    • Data Mining

  • Ph.D. in Engineering (Artificial Intelligence)

     

    • Large Language Model (LLM) and Agent Research

  • CEO of Happy AI

    • Generative AI, LLM, RAG, and AI Agent R&D and education

  • Researcher at a government-funded research institute

    • Natural Language Processing · Big Data Analytics

  • Developer at an AI and Big Data Specialist Company

  • AI Columnist

    • Articles on generative AI, LLMs, RAG, and AI technologies


Key Areas of Expertise

  • Generative AI and large language models (LLMs)

  • RAG · Private LLM

  • AI Agent · Agentic AI

  • AI applications based on LangChain and LangGraph

  • LLM fine-tuning based on LoRA·QLoRA

  • Natural Language Processing (NLP) · Text Mining

  • AI-based data analysis and work automation


Training for Major Companies and Institutions

  • Samsung SDS – LangChain·RAG-based LLM programming

  • KT – LLM/sLLM application development

  • Seoul Digital Foundation – LLM theory and RAG chatbot development

  • Hyundai Wia – Generative AI·AX training

  • Seoul National University of Science and Technology – Python-based text analysis

  • Kyonggi University – Python Using ChatGPT

  • Dankook University – Big Data Expert Program


Key AI Projects

  • Private LLM-based RAG document search and chatbot development

  • Development of Private LLM solutions in an internal network environment

  • LLM Fine-Tuning and Instruction Tuning

  • AI Agent-based business process design

  • Natural language processing and text mining–based research and analysis

  • AI analysis of survey, review, media, policy, and academic data


Research and Publications

  • Conducted domestic and international academic research on natural language processing and LLMs

  • Research on measuring and mitigating LLM bias

  • Numerous papers in the fields of NLP and text mining

  • Experience in AI-related patents and software research and development

  • Book: “Stock Data Analysis with ChatGPT”


What I Consider Most Important in My Lectures

AI technology is changing rapidly, but if you understand the core principles, you can learn new technologies much faster.

In the lectures, rather than simply following features or code,

“what it is → why it is needed → how it works → where it is used in practice”

I consider it most important to explain things clearly so that you can understand them.

Rather than explaining complex AI technologies in a difficult way,
I will explain them so that even beginners can understand the overall structure and apply them to real-world work and projects.


Inquiries about lectures and projects

Email
leejinkyu0612@naver.com

Homepage
https://happyaidata.kr

YouTube
https://www.youtube.com/@HappyAI_0612

GitHub
https://github.com/leejin-kyu

※ Kmong Prime Expert

 

Detailed profile
https://bit.ly/jinkyu-profile

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Curriculum

All

42 lectures ∙ (2hr 21min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

61 reviews

4.5

61 reviews

  • saharahan3609님의 프로필 이미지
    saharahan3609

    Reviews 8

    ∙

    Average Rating 5.0

    5

    100% enrolled

    It helped me a lot.

    • kikiki912342040님의 프로필 이미지
      kikiki912342040

      Reviews 1

      ∙

      Average Rating 5.0

      5

      100% enrolled

      This is a study method that even someone who knows nothing about Python can learn while understanding it.

      • curenaru6824님의 프로필 이미지
        curenaru6824

        Reviews 1

        ∙

        Average Rating 5.0

        5

        100% enrolled

        - thank you.

        • chrisshinkim4679님의 프로필 이미지
          chrisshinkim4679

          Reviews 1

          ∙

          Average Rating 5.0

          5

          61% enrolled

          This is a lecture that teaches Python using GPT from a beginner's perspective. It's the lecture I was looking for.

          • hyongsu44님의 프로필 이미지
            hyongsu44

            Reviews 868

            ∙

            Average Rating 5.0

            5

            100% enrolled

            Thank you for your valuable lecture. Happy New Year and stay healthy!!!

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