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Applied AI

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Utilize AI

My work style has completely shifted to generative AI.

Excel, coding, app development—anyone can start easily with AI. Learn from Excel automation to Python basics and app creation through hands-on practice using generative AI tools like ChatGPT and Perplexity.

1 learners are taking this course

  • skmns
AI 활용법
실습 중심
생성형ai
chatgpt
현직자
Business Productivity
Generative AI

What you will learn!

  • AI + Excel Utilization Methods

  • AI for Everyone's Python Coding

  • Anyone Can Develop Apps with AI

Leveling Up Your Work Style in the Era of Generative AI

  • In the era of generative AI, AI utilization skills have now become essential


    How far will AI advance? How should we get started with generative AI, and what tasks should we apply it to?

    I'll teach you the basic methods for applying generative AI to work that are useful for general office workers.


  • Raw, unfiltered generative AI usage methods demonstrated and taught by current working professionals


    A 20-year veteran developer and in-house instructor who is personally experiencing rapid changes will demonstrate everything from writing prompts to solving errors when they occur, delivering real-world generative AI usage methods through direct hands-on demonstrations.



💡Coding & App Development for Beginners with Generative AI, Practical Training Possible Even for Non-Majors

This course is an introductory content that teaches Excel analysis, Python basic coding, and app development through hands-on practice using the latest generative AI tools such as ChatGPT and Perplexity. It is designed so that anyone can directly work with digital tools alongside AI without complex coding knowledge, building solid foundational skills that can be utilized in the workplace. Guided by a current developer with extensive practical experience, you can develop AI practical skills through a Kind approach designed for non-developers and non-majors.

This is a lesson on how to issue a Gemini API key from Google AI Studio and set it up securely.

After generating a key using the 'Get Gemini API Key from Google AI Studio' button in the one-sentence description document, follow the instructions in order: set up the key, execute the first request, and check security guidelines.

This is a hands-on practice for visualizing Excel sales and cost data with charts to compare key metrics.

Select the data range and create an appropriate chart (e.g., vertical bar chart) from the Insert tab. Adjust axes, legends, data labels, and formatting to compare projected sales, projected variable costs, and contribution margin at a glance.

Practice how to compare and select Gemini models to extract text from images.

Check the model list and select models that support image input and text output (such as Gemini 2.0 Flash, Gemini 1.5 Pro, etc.). Upload sample images to execute text reading requests and compare the accuracy and speed of results to determine the optimal model.

This is a hands-on practice for collecting and organizing Google Play app reviews using Python to create a dataset for analysis.

Install google-play-scraper and specify the package name, language, country, and count to collect 100 reviews from the Korean store. Convert to a pandas DataFrame to organize key columns such as user, rating, content, and date written, then save as CSV.

This is a hands-on practice for creating an internal chatbot app that answers employee questions based on company policies and benefits documents.

Register company policy/welfare information text as a knowledge base and set up Q&A prompts and response formats. Verify accuracy and refine expressions by testing with questions about benefits such as marriage, childbirth, and family events through test conversations.

Recommended for
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Who is this course right for?

  • Office workers who want to efficiently handle repetitive tasks using Excel and data analysis

  • Working professionals who want to create clear and persuasive results in customer data, report writing, and other areas

  • Working professionals who want to strengthen their digital transformation capabilities, such as Python or simple app development

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Curriculum

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10 lectures ∙ (3hr 7min)

Course Materials:

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