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AI Developer Roadmap 2026

We provide guidance on what to study for those starting AI development.

(4.9) 7 reviews

65 learners

Level Beginner

Course period Unlimited

Python
Python
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
Big Data
Big Data
Docker
Docker
Python
Python
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
Big Data
Big Data
Docker
Docker
Thumbnail

What you will gain after the course

  • Identifying types of AI development

  • Identifying the study order for AI development

I want to do AI development, so I'm trying to study, but why is there so much to learn?

This video is for those who are hesitating before even starting.

  • From Python basics

  • Basic Data Analysis

  • Statistical Analysis

  • Machine Learning

  • Deep Learning

  • AI Agents using Generative AI

  • Backend & Infrastructure


I will provide a guide to each field and explain what you will study in simple language.

I hope this is helpful for those who want to start AI development.

Recommended for
these people

Who is this course right for?

  • Job seekers and professionals who want to try AI development

  • For those who want to start AI development but are wondering where to begin.

Hello
This is madohakja

Career Verified

109

Learners

10

Reviews

1

Answers

4.9

Rating

2

Courses

Hello, I am Cheolwon Jang.
After majoring in statistics, I worked in data analysis, IT security, and AI development,
and I am currently involved in AI development education and software development.
I create lectures that connect complex theories to practical applications and explain them easily. 😊

 

📙Books

  • AI Agents with LangChain & LangGraph: Learning through Transformer Architecture, Hanbit Media

  • Learning Docker & Kubernetes in One Book, Hanbit Media

  • Probability and Statistics Learned through Monte Carlo Simulation with Python, BJ Public

  • Web Crawling & Data Analysis with Python, Insight Publishing

  • Linear Algebra Learned through Algorithm Implementation with Python, BJ Public

  • Machine Learning with Python: Linear Algebra and Statistics, BJ Public

 

🎙Lecture

  • Samsung Electronics, AI Agent (Langchain, Langgraph, RAG, MCP, A2A)

  • Samsung Electronics, Machine Learning with Scikit-Learn

  • Samsung Electronics, Deep Learning using PyTorch

  • KT, AI Agent (Langchain, Langgraph, RAG, MCP, A2A)

  • LG Uplus, AI Agent (Langchain, Langgraph, RAG)

  • LG CNS, Agent Prompt Engineering

     

  • SK Planet, Docker&Kubernetes

  • Year-Dream School 3rd~4th cohorts, Data Engineer Training Course (Docker, Kubernetes, Kafka, Elasticsearch)

 

🏢Experience

  • Madohakja Co., Ltd., CEO

  • NanoCookie, CEO

  • NHN, Cloud Development Division, IT Security Office

  • Krafton, Data Analysis Department

 

🏫Education

  • Florida State University, PhD program in Statistics

  • Korea University, Master's in Statistics

  • Chungbuk National University, Bachelor's in Statistics

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Reviews

All

7 reviews

4.9

7 reviews

  • leechigeun8103님의 프로필 이미지
    leechigeun8103

    Reviews 3

    Average Rating 5.0

    5

    30% enrolled

    Communication for questions and answers is not smooth.

    • madohakja
      Instructor

      Since it is an online lecture, live communication is a bit difficult ㅠ If you leave a question, I will get back to you :)

  • newbieccc님의 프로필 이미지
    newbieccc

    Reviews 25

    Average Rating 4.8

    5

    30% enrolled

    • calculator님의 프로필 이미지
      calculator

      Reviews 273

      Average Rating 4.9

      5

      100% enrolled

      • mhcai1st2276님의 프로필 이미지
        mhcai1st2276

        Reviews 4

        Average Rating 5.0

        5

        30% enrolled

        • 1010235you1648님의 프로필 이미지
          1010235you1648

          Reviews 1

          Average Rating 5.0

          5

          30% enrolled

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