Course introduction

Hello! 👋

Since I started AI relatively early, I have conducted many AI lectures and seminars over a long period of time. At the same time, students, non-majors, and people who have never encountered AI Really starting with the basics of AI and reaching the stage of using and learning generative AII've always wanted to make a course I can do, and this course is the result of that problem ✨

“Isn't AI difficult?” “Can I start AI if I can't do math or coding?” You can put that worry aside for a while!! 🙆

This course is structured as easily and intuitively as possible with everyday examples and intuitive explanations instead of complicated formulas so that even non-majors can follow along 🐣🚀

If you don't know coding or AI, have finished all of these courses want Create AI models, use/learn generative AI models, Grow to the point where you can plan and implement an AI service yourselfIt is structured as a practice-oriented course so that you can do it 💻✨

As you try your hand at it and complete a small project, you all thought, “I'm like an AI developer, right?!” I will guide you to feel confident doing it 💡🙌

AI is not difficult and far away; it is close to our lives, and it is a field where everyone can enjoy learning.

I hope this course will be a fun first step for you to get to know AI and start exploring on your own 😄✨

What you learn in the course

Python basic programming

- The concept of Python

- Building a Python practice environment

- Python's basic syntax

- How to use Python's data processing library

Basic deep learning theory

- Basic concepts of deep learning and deep learning learning

- Abstraction of deep learning models

- Types of deep learning models

Build your own AI model

- Basic usage of Pytorch + setting up a deep learning practice environment

- Classifying images of cats and birds using MLP and CNN

Using open source AI models + learning generative AI models

- Explore HuggingFace + use an open source AI model

- Learn text generation models and image generation models

Using commercial AI models

- Setting up the OpenAI API

- Using OpenAI's text generation model (ChatGPT) API

- Using OpenAI's image generation model (GPT-image) API

Lab content

Classifying cat/bird photos using your own Pytorch model

Search images by text using an open source AI model

Create a simple consultation bot using a text/image generation model you've learned yourself

Hello, I'm Min Kyu-sik, an engineer who studies the possibilities of artificial intelligence and deep learning and makes them a reality.

In 2015, after my fateful encounter with artificial intelligence, I obtained my doctorate while studying the combination of autonomous driving and AI. Currently KakaoWe are working on creating and optimizing AI models that millions of users can experience.

As an adjunct professor in the Department of Data Science at Hanyang University, I teach students while studying reinforcement learning and multimodal models at the forefront of business. I'm past this class Extensive data and insights gained over 10 years of conducting various AI lectures and seminarsIt has been compressed.

Let me break the prejudice that “AI is difficult.” Let's work together to create the first AI model where your imagination becomes reality through actual coding and service implementation instead of complicated formulas.

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Deep Learning & Generative AI Master Class from Kakao Engineers (Basic)