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AI Development

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AI Agent Development

From deep learning to the latest AI, see the flow of technology, data, and key figures at a glance!

AI is not just a simple technology, but was born from people's questions and the flow of the times. Understanding this flow allows you to connect with any new technology without fear. 👉 "The moment you learn AI's roots through stories, you'll see the context." Start now!

2 learners are taking this course

  • aidercollege
이론 중심
AI
딥러닝
머신러닝
빅데이터
Machine Learning(ML)
Deep Learning(DL)
Big Data
history

What you will learn!

  • Understanding How AI, Machine Learning, and Deep Learning Are Connected Through Key Figures

  • Following the thought process of what problems AI creators were trying to solve

  • You can grasp the flow of why these technologies emerged without complex formulas.

  • You'll be able to easily explain AI through story-based explanation methods.

💡 Why did AI experience explosive growth at a specific point in time?

  • "Machine learning, deep learning, generative AI… Do I have to learn them all separately?"


  • "I know the name of the algorithm, but I have no idea why it came about."

In fact, the advancement of AI is not simply technological progress, but
was born from researchers' questions and challenges, and changes in the data environment.

This course weaves together character-focused narratives + historical context + core algorithms into stories,
allowing you to master "fundamental theory + practical context + data-driven thinking" all at once in this AI development history course.

Features of this course

👩‍🔬 Character-Centered Storytelling

  • Fei-Fei Li's ImageNet Revolution

  • Geoffrey Hinton and the Revival of the Perceptron

  • From Jeff Dean to TensorFlow
    👉 Follow the problem awareness and experiments of the people who made AI history.


📚 Composition that pinpoints only the decisive moments

  • ImageNet Competition, Deep Learning Turning Point

  • R & Python that Opened the Big Data Era

  • Regression Analysis, SVM, KNN and Other Algorithms: Philosophy and Background

🧶 Explanation method that visualizes the flow right before your eyes

  • Intuitive understanding through stories and examples, without complex formulas

  • Both professionals and beginners can easily grasp the overall context of AI.

I recommend this for people like this

Learners who want to understand the structural connections between AI, deep learning, and machine learning

Beginners who want to learn AI's background, philosophy, and history without the burden of coding

Aspiring knowledge sharers / developers who want to easily explain and utilize AI

After taking the course

✅ You'll understand how deep learning, machine learning, and generative AI are connected within a single flow.
✅ You'll be able to answer the question "Why did AI explode at that particular moment?" with the connections between era, technology, and people.
✅ You'll remember as a story the 70 years of AI challenges, failures, and innovations that continued even before ChatGPT.
✅ Rather than simply memorizing concepts, you'll experience real cases where AI has been applied in actual companies and services.

Utilizing Visual Materials

I've organized it so you can intuitively understand actual research graphs, experimental photos, and various concepts.

Storytelling + Visual Combination

It's easy to follow the flow while viewing related materials along with the researcher's achievements.

Key Keyword Summary

We organize key concepts so you can review what you've learned at a glance.

Course Wrap-up

A summary screen that organizes the key content for each course is provided, allowing for natural review and organization.

The person who created this course

AIder College

CEO Kwon Geon-woo

  • Current CEO of WeDataLab

  • Current Adjunct Professor at Sungkyunkwan University

  • Former S Electronics SDS Technical Architect

  • Books: 《Learning Artificial Intelligence through Unofficial History and Comics 1·2·3》

👉 AI experts who cover practical work, education, and public speaking teach directly.

Recommended for
these people

Who is this course right for?

  • Those who want to understand the context, background, and trends of AI technology

  • Instructors/planners who need to plan or introduce AI educational content

  • Educators, presenters, and planners who want to easily explain AI to others

Hello
This is

Aider College는 ‘AI를 친근하게, 쉽게, 제대로’ 가르치는 AI교육전문 브랜드 입니다.

서울대, KAIST, 한양대, 서울여대 등 국내 최고 교수진이 직접 참여하여, 기술 + 철학 + 윤리 + 인사이트를 모두 담은 독창적인 커리큘럼을 통해 AI를 제대로 이해하고 활용하는 시민(Aider)을 양성합니다.
AI 시대, 단순한 사용법을 넘어 생각하고 판단할 수 있는 AI 역량을 함께 키워갑니다.

Curriculum

All

12 lectures ∙ (2hr 53min)

Published: 
Last updated: 

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