Claude Code Practical AI Workflow Automation: Obsidian LLM Wiki, Excel, PPT, and Data Analysis

This is a practice-oriented course where you will directly automate repetitive tasks such as document writing, data analysis, and report creation using Claude Code. Through a systematic process of exploration, planning, implementation, and verification, you will design AI to handle various tasks like meeting minutes, Excel, and PPT, and learn how to build automation workflows even without coding. Beyond simply learning functions, you will acquire the practical design skills to identify your own repetitive tasks and transform them using AI.

(5.0) 3 reviews

20 learners

Level Beginner

Course period 6 months

data-analysis
data-analysis
data-processing
data-processing
n8n
n8n
prompt engineering
prompt engineering
claude
claude
data-analysis
data-analysis
data-processing
data-processing
n8n
n8n
prompt engineering
prompt engineering
claude
claude

What you will gain after the course

  • Designing Advanced Data Analysis and Processing Automation Workflows Using Claude

  • AI automation system design and problem-solving skills based on exploration, planning, implementation, and verification.

  • Applied more than 10 practical automation cases, including meeting minutes, reports, Excel, and PPT.

  • Applying AI automation to various practical scenarios (data analysis, reports, n8n integration, etc.)


Leave the repetitive tasks to AI now!

Smartly Automate Your Work with Claude Code


From now on, leave your work to AI

There's no need to explain everything one by one.

Utilizing Claude Code

AI Workflow Automation

Secure 200% more work time!

Currently, about 80% of the lectures have been uploaded, and all remaining content will be updated sequentially. (For those who take the course in August and leave a review, a separate AI/LLM lecture will be provided for free!)





Develop your practical design skills to automate repetitive tasks with AI,
from organizing folders to analyzing sales and drafting reports
using Claude Code.


Through more than 10 business automation cases, such as organizing cluttered folders, summarizing meeting minutes, and
verifying sales data,
you can
transform into an expert who saves time and effort with AI.




By the end of this course, you will


You will be able to completely redesign your ability to automate repetitive practical tasks using AI.

  • Beyond simply learning the functions, you will gain experience in directly designing and implementing more than 10 practical automation projects—such as meeting minute summaries, report writing, and Excel data organization—through a four-step process of Exploration-Planning-Implementation-Verification. You will transform into an expert who can independently build the entire workflow of AI-driven task processing.






✔️

The secret to achieving
work automation with Claude Code

Mastering Practical Task Automation
Using Claude Code

This course provides detailed instructions on how to automate repetitive practical tasks using Claude Code through a systematic 4-step process (Explore-Plan-Implement-Verify). You will develop the ability to design and implement automation workflows that can be applied directly to real-world tasks, even without coding knowledge.

Various real-world business automation cases

You can directly experience over 10 practical automation projects and immediately apply them to your work by utilizing Claude Code's four task modes, including meeting minute summarization and report writing, Excel data organization, receipt expense processing, and web research report creation.

Building Automation Workflows and AI Assistants

From organizing cluttered folders to building personalized AI work assistants, this course covers in detail how to design automation workflows using Claude Code and how to create your own LLM-based AI assistant. You can engage in practice-oriented learning through all the examples and code provided in the class.



The lecture will be continuously updated 😃



Notes before taking the course


Practice Environment

  • The lecture will be conducted in a web browser environment.

  • We will practice using the Claude AI extension plugin for VS Code.


Prerequisites and Notices

  • Office workers and practitioners interested in automating repetitive tasks

  • It is even more effective if you have practical experience in tasks such as Excel or report writing.

  • It is okay if you have no prior experience using AI. We will learn from the basics.

Learning Materials

  • We provide Claude Code usage examples required for the hands-on practice.

  • Based on the lecture content, you can design your own automation routines.


Recommended for
these people

Who is this course right for?

  • Office workers and practitioners who handle a lot of repetitive documentation and report writing.

  • Freelancers and solo entrepreneurs who handle various tasks alone, such as organizing Excel data and writing meeting minutes.

  • Practitioners who have tried using AI for work but feel it is inefficient to repeat the same explanations every time

  • Office workers looking to enhance complex tasks such as data analysis, processing, and report writing with AI

  • Planners and developers who want to go beyond simple repetitive automation and develop the capabilities to solve practical business problems and build systems using AI.

Need to know before starting?

  • Experience using generative AI tools such as ChatGPT at least once

  • Ability to use basic office programs such as Excel, Word, and PPT

  • A clear understanding and practical experience of the repetitive tasks you wish to automate

Hello
This is HappyAI

5,332

Learners

304

Reviews

52

Answers

4.6

Rating

12

Courses

Lee JinKyu | Lee JinKyu

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

👉Detailed career history can be found at the link below.
https://bit.ly/jinkyu-profile

Hello.
I am Lee Jin-kyu (Ph.D. in AI Engineering), CEO of Happy AI, who has been consistently working with AI and big data analysis in R&D, education, and project fields.

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

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,
the Korea National Park Service, and Seoul City, and have conducted
more than 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 Generative AI and Big Data Analytics Company

  • 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 Stellavision Developer

  • 2018 ~ 2021
    Government-funded Research Institute Natural Language Processing & Big Data Analysis Researcher


🔹 Areas of Expertise (Lecture & Project Focused)

  • Generative AI and LLM Utilization

    • Private LLM, RAG, Agent

    • Basics of LoRA·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 network

  • Public and Corporate AI Task Automation

    • 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 – Korea Vocational Development Institute

  • LDA & Sentiment Analysis with ChatGPT – Inflearn

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

  • Creating LLM Chatbots Using LangChain – Inflearn

2023

  • Python Basics using ChatGPT – Kyonggi University

  • Big Data Expert Course Special Lecture – Dankook University

  • Basics of Big Data Analysis – Let U In 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)

  • Development of LLM models based on Instruction Tuning and RLHF

  • 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 LLM Technology Perception Based on News Article 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

More

Curriculum

All

35 lectures ∙ (2hr 52min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

3 reviews

5.0

3 reviews

  • bravetop734702님의 프로필 이미지
    bravetop734702

    Reviews 1

    Average Rating 5.0

    5

    31% enrolled

    It is easy to understand and the content is excellent.

    • leejinkyu0612
      Instructor

      Thank you for leaving such a precious review! 😊 I am truly glad to hear that the content was easy to understand. I will continue to repay your support with great lectures that are helpful in practice! To confirm your participation in the review event, please send your Inflearn nickname, registered email address, and a screenshot of your review to leejinkyu0612@naver.com. Once verified, I will open the LLM theory lecture for you. Thank you!

  • recreatorkirang8897님의 프로필 이미지
    recreatorkirang8897

    Reviews 1

    Average Rating 5.0

    5

    31% enrolled

    • leejinkyu0612
      Instructor

      Thank you for leaving such a precious review! 😊 To verify your participation in the review event, please send your Inflearn nickname, registration email address, and a screenshot of your review to leejinkyu0612@naver.com. After verification, I will grant you access to the LLM Theory lecture. Thank you!

  • fochi6068님의 프로필 이미지
    fochi6068

    Reviews 1

    Average Rating 5.0

    5

    31% enrolled

    • leejinkyu0612
      Instructor

      Thank you for leaving a precious review! 😊 To verify your participation in the review event, please send your Inflearn nickname, registration email address, and a screenshot of your review to leejinkyu0612@naver.com. After verification, I will open the LLM theory lecture for you. Thank you!

HappyAI's other courses

Check out other courses by the instructor!

Similar courses

Explore other courses in the same field!

Limited time deal

$21,780.00

70%

$56.10