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AI Tech DNA Series: Core Principles of Computer Fundamentals from an AI Perspective

AI Tech DNA Series: AI Fundamentals of Computer Science from an AI Perspective is an introductory course designed to help you understand the basic concepts of computers needed in the AI era in the easiest way possible. It explains fundamental principles such as CPU, memory, storage devices, networks, and data structures by connecting them to real-life analogies and AI perspectives, building a solid foundation to advance into Python, AI, security, and cloud computing.

(5.0) 3 reviews

4 learners

  • sdj0831
컴퓨터 구조
네트워크기초
운영체제
it상식
인공지능(ai)
Network
Computer Architecture
Operating System
AI

Reviews from Early Learners

What you will gain after the course

  • Understanding How Computers Process Information for AI to Function (CPU·Memory·Storage)

  • The flow of how data is stored, transmitted, and utilized can be easily understood

  • Essential Concepts of File Systems, Databases, and Data Structures for AI Model Training

  • Understanding Network and Internet Principles Intuitively from an AI Perspective

  • Building IT Foundation Skills to Learn Python, AI, Machine Learning, and Security

AI Perspective: Complete Mastery of Computer Fundamentals

AI Tech DNA Series Roadmap: Core Digital Fundamentals from an AI Perspective

  • For reference, the second stage course "Core Network Fundamentals from an AI Perspective" is scheduled to open at the end of December 2025

    📌 What You Can Learn from This Course (AI Perspective)


📌 Where It's Used (AI Perspective)

We recommend this for:

I've organized content about AI and IT fields so that beginners can easily understand it.

The characteristics of this course

Please introduce the key features and differentiators.

6차시_AI 관점에서 바라보는 컴퓨터 기초 핵심 원리_강의

Learning content for each lesson

You can see what content you'll be learning in advance as we provide the learning materials for each lesson.

Difficult concepts with easy examples

AI and AI concepts feel difficult, right? I explain complex concepts in an easy-to-understand way so that even beginners can grasp them easily.

The person who created this course

  • This course was created by DefecUp, an e-learning specialist instructor who has produced over 12 online courses in the IT, security, and data fields.
    They research methods of explaining difficult concepts through everyday analogies so that non-majors, students, and beginners can easily understand,
    and aim to create courses that people learning AI, networking, security, and data fields for the first time can complete without getting stuck.

Do you have any questions?

  • Can complete beginners take this course?
    → Yes. It's explained from the basics so that even those with no computer or IT knowledge can understand.

  • Is it helpful before learning AI or Python?
    → Yes. It first solidifies the core foundational concepts (CPU, memory, data, network) that often become obstacles during AI learning.

  • Is this a course that requires hands-on practice?
    → No. It is structured around concepts so that you can understand without hands-on practice.

  • What is the level of the course?
    → It's easy enough for middle school students to follow, but provides a foundation that can be expanded into AI, security, data, and cloud.

  • What should I do after completing the course?
    → You can immediately continue with any area of interest: Network Fundamentals, Python, AI·Machine Learning, Information Security, or Cloud.

Q1. I'm a complete beginner - will I be able to understand this course?

Yes. This course is designed to be understandable even for those with no computer or IT knowledge.
We've minimized technical jargon and explained everything using real-life analogies and illustrations, making it accessible for beginners.

Q2. Is it really helpful before studying AI, Python, data, and security?

Very helpful.
The biggest obstacle in AI, machine learning, and deep learning studies is computer, data, and network fundamentals,
and this course covers exactly those core concepts, significantly reducing the difficulty of subsequent learning.

Q3. Is it okay to just learn the concepts without hands-on practice when expanding into the AI field?
Actually, understanding concepts comes before hands-on practice.
If you don't understand the principles of how computers process, store, and transmit data, you'll face difficulties during hands-on practice.
Once you build a solid foundation (framework) through this course, learning Python, AI, machine learning, security, and cloud will become much easier.

Pre-Course Information

Practice Environment

  • Operating System and Version (OS): OS type and version such as Windows, macOS, Linux, Ubuntu, Android, iOS, etc.

  • Tools Used: Software/hardware versions required for practice, billing plans, virtual machine usage, etc.

  • PC Specifications: Recommended specifications for running the program, including CPU, memory, disk, graphics card, etc.

Learning Materials

  • Format of provided learning materials (PPT, cloud links, text, source code, assets, programs, practice problems, etc.)

  • Volume and capacity, features and precautions regarding other learning materials, etc.

Prerequisites and Important Notes

  • Learning difficulty considering essential prerequisite knowledge requirements

  • Course video quality (audio/video quality) and other content directly related to taking the course, as well as recommended learning methods

  • Questions/Answers and Future Update Information

  • Notice Regarding Copyright of Course Materials and Learning Resources

Recommended for
these people

Who is this course right for?

  • Those who want to challenge themselves in AI, Python, and data fields but lack basic computer knowledge

  • Non-majors who are working professionals or students wanting to learn IT concepts easily from the beginning

  • Those who found computer and network concepts difficult and couldn't understand them even after taking multiple courses

  • Those who want to build foundational strength before expanding into practical cloud, security, and AI work

  • If you want to understand computer principles through everyday analogies or want to 'organize concepts all at once'

Need to know before starting?

  • Experience using computers in daily life

  • A light familiarity with basic computer terminology

  • The determination to learn IT fundamentals from scratch

Hello
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243

Learners

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Reviews

10

Answers

4.4

Rating

13

Courses

디펙업(DefecUp) — 배움을 성장으로, 기술을 기회로

(주)디펙업은 “배움이 곧 성장이다”라는 철학으로 출발한 기술 교육 브랜드입니다.
우리는 단순히 지식을 전달하는 회사를 넘어, 사람이 성장하는 길을 설계하는 이러닝 기업입니다.

AI, 보안, 데이터, 스마트팩토리 등 빠르게 변하는 기술 시대 속에서
누구나 자신의 역량을 업그레이드할 수 있도록, 디펙업은 쉽고 실용적인 융합형 이러닝 콘텐츠를 만듭니다.

디펙업에서 운영하는 브랜드는 두 가지가 있습니다.

 

디펙업(DefecUp) 브랜드는 “기술을 누구나 이해할 수 있도록 쉽게 가르친다”는 철학을 바탕으로, IT·AI·보안·데이터·산업 디지털화 분야 중심의 전문 국가공인 및 국가 기술 이러닝 콘텐츠를 제작하고 있습니다.

바이트탐정(Byte Detective)은 디펙업(DefecUp)의 교육 철학을 대표하는 콘텐츠 브랜드로,
“지식을 탐정하듯 분석하고, 기술의 단서를 찾는다”는 콘셉트를 중심으로 합니다.
즉, 바이트탐정은 학습자가 IT 보안·AI·데이터 분야의 핵심 원리를 흥미롭게 이해하도록 돕는 융합형 중심 학습 브랜드입니다.

 

"배움을 성장으로"

Curriculum

All

20 lectures ∙ (4hr 46min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

3 reviews

5.0

3 reviews

  • 지니님의 프로필 이미지
    지니

    Reviews 1

    Average Rating 5.0

    5

    80% enrolled

    어려운 내용을 쉽게 설명하여 주시니 초보자가 접근하기 매우 좋은 강의 입니다. 좋은 강의를 만들어 주셔서 감사드립니다.

    • 디펙업님의 프로필 이미지
      디펙업

      Reviews 8

      Average Rating 5.0

      5

      100% enrolled

      모두 즐강하세요

      • Creativine님의 프로필 이미지
        Creativine

        Reviews 1

        Average Rating 5.0

        5

        100% enrolled

        저는 컴퓨터에 대한 기본 개념이 어렵다고 생각했는데, AI와 연결하여 쉬운 설명과 비유를 적절하게 반영되어 이번 강의가 많은 도움이 되었습니다. 감사합니다.

        Limited time deal

        $49,500.00

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        $77.00

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