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[VOD] How to Redesign Your Expertise in the AI Era

This is a recording of a meetup with CEO Yongho Ha, who has been at the center of the AI evolution—from starting as a first-generation data scientist to achieving two machine learning startup exits and serving on the National AI Strategy Committee. Have you ever felt that the more you use AI, the more unclear your own expertise becomes? We’ve all been there. This anxiety stems from "Workslop" and the technical, cognitive, and intentional debt that accumulates without us even realizing it. This meetup begins by diagnosing the true nature of this anxiety and moves on to practical discussions for working with stability—covering everything from verification skills and structural design to learning methods for building your own criteria for judgment.

(5.0) 60 reviews

943 learners

Level Beginner

Course period Unlimited

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Reviews from Early Learners

5.0

5.0

Sung Hak Lim (Blac

31% enrolled

It was a lecture where I felt a deep sense of empathy and gained rays of light that guided my once-blurred sense of direction. Thank you.

5.0

Hwansoo Suh

35% enrolled

This is the best among all AX-related lectures.

5.0

이화랑

62% enrolled

This is the best lecture for gaining insights.

What you will gain after the course

  • A perspective on redefining expertise for the AI era

  • A framework for self-diagnosing AI debt (technical, cognitive, and intentional)

  • Criteria for verifying AI outputs and the ability to design follow-up questions.

  • How to design structures (code, documents, systems) that are effectively communicated to AI

  • New Learning Methods for the AI Era (The Importance of Judgment Criteria)

Recommended for
these people

Who is this course right for?

  • Those who use AI every day but aren't sure if they are "using it well"

  • Those who have experienced their workload actually increasing while reviewing AI-generated results

  • Office workers with N+ years of experience who have begun to feel the gap between themselves and AI-native new hires

  • Anyone who has experienced cognitive overload while using multiple agents together?

Hello
This is yonghosee

4,620

Learners

233

Reviews

1

Answers

4.9

Rating

6

Courses

I have worked as a data scientist for a long time and have experience with two exits. I invest in or work with startups.
It is easy to remember if you think of a dragon🐲 and a tiger🐯.

- Former) Founding member of SKT Data Science Center
- Former) Founder and CEO of NumberWorks (ML company), exited to Kakao
- Former) Director at Kakao, Data Value Team Lead
- Former) CAIO at Indent Corporation, a commerce AX specialist company

- Currently serving as CDO at Dable, an ML company, which was exited to Yanolja, where I am currently working
- Currently serving as a member of the Presidential National AI Strategy Commission

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Curriculum

All

26 lectures ∙ (2hr 46min)

Published: 
Last updated: 

Reviews

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60 reviews

5.0

60 reviews

  • yanggak6281님의 프로필 이미지
    yanggak6281

    Reviews 1

    Average Rating 5.0

    Edited

    5

    31% enrolled

    It was very helpful in understanding the various challenges and trial-and-error we are currently experiencing at our company. It was a very informative session, especially since I was able to attend the lecture after coming across the PPT by chance. I highly recommend everyone to give it a listen!

    • gozillacj4752님의 프로필 이미지
      gozillacj4752

      Reviews 1

      Average Rating 5.0

      5

      62% enrolled

      This is the best lecture for gaining insights.

      • elymas5282님의 프로필 이미지
        elymas5282

        Reviews 1

        Average Rating 5.0

        5

        31% enrolled

        It was a lecture where I felt a deep sense of empathy and gained rays of light that guided my once-blurred sense of direction. Thank you.

        • hwansoo1050님의 프로필 이미지
          hwansoo1050

          Reviews 1

          Average Rating 5.0

          5

          35% enrolled

          This is the best among all AX-related lectures.

          • icaruna5273님의 프로필 이미지
            icaruna5273

            Reviews 9

            Average Rating 5.0

            5

            31% enrolled

            Please explain the tips, methods, or mindset needed to use AI effectively in an easy-to-understand way.

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