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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) 56 reviews

1,378 learners

Level Beginner

Course period Unlimited

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

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

4,481

Learners

225

Reviews

51

Answers

4.6

Rating

11

Courses

Lee JinKyu | Lee JinKyu

AI·LLM·Big Data Analysis Expert / CEO of Happy AI

👉You can check the detailed profile at the link below.
https://bit.ly/jinkyu-profile

Hello.
I am Lee JinKyu (Ph.D. in Engineering, Artificial Intelligence), CEO of Happy AI, who has consistently worked with AI and big data analysis across R&D, education, and project sites.

I have analyzed various unstructured data, such as
surveys, documents, reviews, media, policies, and academic data,
based on Natural Language Processing (NLP) and text mining.
Recently, I have been delivering practical AI application methods tailored to organizations and work environments
using Generative AI and Large Language Models (LLMs).

I have collaborated with numerous public institutions, corporations, and educational organizations, including Samsung Electronics, Seoul National University, Offices of Education, Gyeonggi Research Institute, Korea Forest Service,
and Korea National Park Service, and have conducted a total of over 200 research and analysis projects across various domains such as
healthcare, commerce, ecology, law, economics, and culture.


🎒 Inquiries for Lectures and Outsourcing

Kmong Prime Expert (Top 2%)


📘 Bio (Summary)

  • 2024.07 ~ Present
    CEO of Happy AI, a company specializing in Generative AI and Big Data analysis

  • Ph.D. in Engineering (Artificial Intelligence)
    Dongguk University Graduate School of AI

    Major: Large Language Models (LLM) (2022.03 ~ 2026.02) 2023 ~ 2025 Public News AI Columnist (Generative AI Bias, RAG, LLM Utilization Issues) 2021 ~ 2023 AI & Big Data Specialist Company Stell

    Major: Large Language Models (LLM)

    Bio (Summary) 2024.07 ~ Present CEO of Happy AI, a company specializing in Generative AI and Big Data Analysis Ph.D. in Engineering (Artificial Intelligence) Dongguk University Graduate School of AI Major: Large Language Models (LLM)

    (March 2022 – February 2026)

  • 2023 ~ 2025
    Public News AI Columnist
    (Generative AI Bias, RAG, LLM Utilization Issues)

  • 2021 ~ 2023
    Developer at Stellavision, an AI and Big Data company

  • 2018 ~ 2021
    Government-funded Research Institute NLP & Big Data Analysis Researcher


🔹 Areas of Expertise (Lecture & Project Focused)

  • Generative AI and LLM Utilization

    • Private LLM, RAG, Agent

    • Basics of LoRA and QLoRA Fine-tuning

  • AI-based Big Data Analysis

    • Survey, review, media, policy, and academic data

  • Natural Language Processing (NLP) & Text Mining

    • Topic Analysis, Sentiment Analysis, Keyword Networks

  • Public/Corporate AI Task Automation

    • Document Summarization, Classification, and Analysis

      Natural Language Processing (NLP) and text mining for reviews, media, policy, and academic data. Topic analysis, sentiment analysis, and keyword networks. Public and corporate AI workflow automation for document summarization, classification, and analysis.


🎒 Courses & Activities (Selected)

2025

  • LLM/sLLM Application Development
    (Fine-tuning, RAG, and Agent-based) – KT

2024

  • LangChain·RAG-based LLM Programming – Samsung SDS

  • LLM Theory and RAG Chatbot Development Practice – Seoul Digital Foundation

  • Introduction to Big Data Analysis based on ChatGPT – LetUin Edu

  • AI Fundamentals & Prompt Engineering Techniques – Korea Vocational Development Institute

  • LDA & Sentiment Analysis with ChatGPT – Inflearn

  • Python-based Text Analysis – Seoul National University of Science and Technology

  • Building LLM Chatbots with LangChain – Inflearn

2023

  • Python Basics using ChatGPT – Kyonggi University

  • Big Data Expert Course Special Lecture – Dankook University

  • Fundamentals of Big Data Analysis – LetUin Edu


💻 Projects (Summary)

  • Building a Private LLM-based RAG Chatbot (Korea Electric Power Corporation)

  • LLM-based Big Data Analysis for Forest Restoration (National Institute of Forest Science)

  • Private LLM Text Mining Solution for Internal Networks (Government Agency)

  • Instruction Tuning and RLHF-based LLM Model Development

  • Healthcare, Law, Policy, and Education Data Analysis

  • AI Analysis of Survey, Review, and Media Data

Over 200 projects completed, including public institutions, corporations, and research institutes


📖 Publication (Selected)

  • Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms (2024)

  • Improving Generation of Sentiment Commonsense by Bias Mitigation
    – International Conference on Big Data and Smart Computing (2023)

  • Analysis of Perceptions of LLM Technology Based on News Big Data (2024)

  • Numerous NLP-based text mining studies
    (Forestry, Environment, Society, and Healthcare sectors)


🔹 Others

  • Python-based data analysis and visualization

  • Data Analysis Using LLM

  • Improving work productivity using ChatGPT, LangChain, and Agents

Curriculum

All

42 lectures ∙ (2hr 21min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

56 reviews

4.5

56 reviews

  • curenaru6824님의 프로필 이미지
    curenaru6824

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    - thank you.

    • 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.

      • saharahan3609님의 프로필 이미지
        saharahan3609

        Reviews 8

        Average Rating 5.0

        5

        100% enrolled

        It helped me a lot.

        • 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!!!

          • 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.

            Free

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