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AI for Everyone: First Steps in Deep Learning Through Mathematics

Many people use ChatGPT and frequently hear about recommendation systems and autonomous driving, but when asked to explain “why they work the way they do,” they often struggle to find the words. If you only follow coding courses, the code runs but the underlying principles don’t stick. If you only take math courses, you see the formulas but can’t connect them to AI. Overseas courses can feel intimidating because of the English, while introductory courses in Korea tend to focus heavily on hands-on practice. While building real models in AI competitions, running Everyone’s AI, and meeting thousands of learners, I repeatedly saw the same thing: the obstacle wasn’t how to use the tools, but the moment when functions, derivatives, vectors, and backpropagation became disconnected from one another. This course bridges that gap. From how functions define inputs and outputs, to how derivatives determine the direction of learning, and how backpropagation passes errors backward, it explains everything in one continuous flow—from the fundamentals of mathematics to neural networks and softmax. Rather than memorizing formulas or simply copying code, this course helps you understand “why” through equations and intuitive illustrations. For anyone who wants to truly understand AI, it will serve as a solid first step toward moving on to deep learning.

14 learners are taking this course

Level Beginner

Course period Unlimited

Deep Learning(DL)
Deep Learning(DL)
AI
AI
Deep Learning(DL)
Deep Learning(DL)
AI
AI

What you will gain after the course

  • The Language of Mathematics for AI

  • Understanding the Structure of Deep Learning

  • Understanding How AI Learns

  • Developing Thinking Skills That Lead to Real-World Application

AI: Understand It Before Learning How to Use It

The course focuses on ‘understanding’ AI beyond merely ‘using’ it, from ChatGPT and recommendation systems to self-driving cars already integrated into our daily lives.‘sử dụng’.

It connects and explains the core principles of AI in a single flow, starting with mathematical fundamentals such as functions, exponents, logarithms, calculus, and probability, and extending to vectors and matrices, artificial neural networks, backpropagation, and softmax.

Foreign lectures can feel intimidating because they are in English, while many introductory AI courses in Korea tend to focus too heavily on coding exercises.

This course is designed to help you easily understand—not memorize formulas or simply follow along with code—how functions define inputs and outputs, how derivatives determine the direction of learning, and how backpropagation propagates errors, using equations, intuitive illustrations, and examples.

We operate the AI learning platform Modu AI and have carefully selected only the concepts that learners most commonly struggle with in practice, based on a curriculum validated by thousands of learners.

If you truly want to understand AI, you can follow along to the end. 💡

#DeepLearning, #ArtificialIntelligence, #Mathematics, #AI

What you’ll learn

1⃣Connect mathematical foundations to the language of AI

You will learn functions, exponents and logarithms, calculus, and probability not as “formulas for exams,” but as tools for understanding AI inputs, outputs, learning, and uncertainty.

2⃣Understand the entire flow from vectors and matrices to artificial neural networks 

Learn structurally how data is represented and how neural networks make predictions.

3⃣The essentials of learning: differentiation · backpropagation · softmax

Understand together, through intuition and formulas, how differentiation determines the direction of learning, backpropagation propagates errors, and softmax converts the results into probabilities.

Notes Before Taking the Course

Learning Materials

Recommended for
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Who is this course right for?

  • Those who use ChatGPT and generative AI but want to properly understand how AI works

  • Those who have taken coding-focused AI courses but feel they lack mathematical concepts

  • College students, job seekers, and working professionals who want to systematically learn machine learning and deep learning

  • Those preparing to transition their careers into AI-related roles (development, data, and planning)

  • Teachers and instructors who want to build a solid foundation for teaching AI to students

  • Those who find English lectures burdensome and want to learn AI from the basics in Korean

Need to know before starting?

  • As this is an easy course, no prior knowledge is required.

Hello
This is DEVJH

55

Learners

3

Reviews

5.0

Rating

4

Courses

Hello, I’m Jonghyun Lee.

While working as a software developer at Coupang, I gained experience developing and operating real-world services. I am currently balancing work and studies while researching machine learning and deep learning in the master’s program in artificial intelligence at Yonsei University.

Based on hands-on AI model development experience, I have participated in various AI competitions and achieved strong results.
At the 2026 K League–University of Seoul Open AI Competition, I placed third out of 947 teams, and at the 5th Human Understanding ETRI AI Paper Competition in 2026, I ranked second on the Private Leaderboard (409 teams participated).

Currently, I operate the AI learning platform “mdooai,” creating AI education content and learning experiences with more than 3,000 learners worldwide. I also work as an Upstage Certified Trainer, providing generative AI education and mentoring, while continuing to deliver lectures and hands-on training in various educational settings to help everyone easily understand and use AI technology.

Drawing on practical experience in development, AI research, and education, this year I submitted a paper to the 2026 International Conference on Automated Machine Learning while working full-time, and achieved the distinction of receiving an Oral Accept.

Going forward, I hope to contribute to enabling more people to learn and use AI effectively, drawing on AI technologies validated in real-world settings and my research experience.

Thank you.

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Curriculum

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27 lectures ∙ (3hr 17min)

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