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AI Development

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Deep Learning & Machine Learning

Dr. Jang's Introduction to Big Data and Artificial Intelligence

An AI lecture without difficult terminology or difficult mathematical formulas! We help you understand AI theory through source code.

18 learners are taking this course

  • sotolab
Big Data

What you will learn!

  • You can understand the need for big data and visualization.

  • Let's take a look at real-world applications of artificial intelligence.

  • Develop a deep learning model

  • You can understand how artificial intelligence models work.

Big data and artificial intelligence have become the trend!
Get started easily without any difficult terminology explanations.

Easy to learn even for beginners
Big Data Basics !

Is this perhaps your concern?

  • "I want to start studying artificial intelligence, but I'm not sure where to start."
  • "I'm a non-major and have never used a programming language before. Can I still create an AI model?"
  • "I want to know how AI services are being applied in real life."
  • "I want to create an AI business service, but I'd like to learn about real-world application cases."
  • "I'm looking for a lecture that explains the key points in a short amount of time."

We've received numerous requests for this course, even from non-majors and beginners, to help them create AI models without having to understand difficult terminology or mathematical formulas. This course was created to address this demand.

  • ✅ Explain why big data is necessary and learn about the technologies needed to visualize it.
  • ✅ We will look at the introduction required to develop artificial intelligence based on big data and conduct case studies on artificial intelligence technology in everyday life.
  • ✅ Through artificial intelligence examples, you will learn how to implement this into a program and code it yourself to implement a deep learning model.

To these people
I recommend it ✅

  • People who want to understand artificial intelligence without knowing difficult computer or artificial intelligence terms because they are not a major in the field.
  • Anyone who wants to know about examples of artificial intelligence
  • For those who want to quickly understand artificial intelligence models
  • Anyone who wants to know about the artificial intelligence market
  • Anyone who wants to learn about artificial intelligence and its implementation

Experience the entire process of theory + practice + deep learning model creation in a short period of time!

While this course cannot perfectly resolve all mentees' concerns, it will help them gain a clear understanding of AI technology. Not only will it broaden your horizons, but it will also foster a deep curiosity and interest in the field by creating a "deep learning model," a core component of AI.


What you'll learn 📚

This course consists of theory and practice.

About big data
Importance and
Basic understanding

Introduction to Artificial Intelligence and
In data visualization
The concept of Korea

Artificial intelligence cases
Through practice
Understanding the application area

Development of deep learning models and
How it works
Understanding of Korea

Big Data and Visualization

Learn about the prerequisite knowledge required for artificial intelligence, and explore the elements to pursue in big data and prepare for artificial intelligence.

Understanding Artificial Intelligence

Understand the ultimate goal of artificial intelligence and learn about its basic operating principles. You'll also explore the features of tools and libraries required for development.

Artificial Intelligence Case Study

These are application cases created using AI models. Through hands-on practice, you'll learn how they can be applied to everyday life.

Deep Learning Model Development & Q&A

You'll learn how to program deep learning models by applying theoretical knowledge directly to practical applications. We'll delve into the entire process, from data preparation to the final output from an AI model. We'll also delve into interpreting Kind source code, model creation, and the process of deriving output from the model. Finally, we'll address the most frequently asked questions.


Frequently Asked Questions
Check it out! 💬

Q. I've never programmed before. Can I create a deep learning model?

Yes. Even if you've never coded before, it's okay. Just focus and follow along during the lecture. There are no complex or difficult tools, but it's not too in-depth either. As long as you understand the basic principles and core concepts, you'll be able to create models that can be applied in everyday life.

Q. Why should I study artificial intelligence?

It's the trend of the times. If you live without knowing which jobs will disappear or emerge in ten years, your current work could lose its value. To increase your value, you need to prepare in advance.

Q. How can I explain artificial intelligence to someone I know?

If you understand the basic principles of artificial intelligence, this will be easy to explain. Everything humans can think and judge is possible with artificial intelligence. How? I'll explain in detail during the lecture.

Q. Can non-majors also take the course without any burden?

The lectures are conducted at a middle school level, making them accessible to everyone.

Recommended for
these people

Who is this course right for?

  • Mentors who are curious about how artificial intelligence theory is implemented in actual code

  • Mentors who want to learn the theory and practice of artificial intelligence technology in a short period of time

  • Mentee who wants to create a light deep learning model

  • Mentee who wants to get started with artificial intelligence technology

  • Mentors looking for lectures that do not require understanding difficult terms or mathematical formulas

Need to know before starting?

  • Passion to learn

Hello
This is

461

Learners

32

Reviews

35

Answers

4.5

Rating

4

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Curriculum

All

5 lectures ∙ (1hr 51min)

Published: 
Last updated: 

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$17.60

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