Learn · AI-personalized learning

SkillFit

Based on your AI interview,
we identify your current level and the skills to strengthen, then design the learning path and content you truly need.

Go beyond watching lectures —
practice each skill hands-on to get better results.

Apply for the 2–3 week trial
  • 0개

    Tracks · 3 levels

  • 0가지

    Task types that reveal real skill

  • 0개

    Programs to install

Even after training ends,
the change in skill is hard to see

Three things that keep repeating in corporate training today.

  • Everyone gets the same training, regardless of skill

    Skill levels differ, yet the content is one-size-fits-all. It bores those who already know it and overwhelms those just starting.

  • The 100% completion trap

    You can see who finished the course, but there is no way to tell whether their skills actually improved.

  • Knowing is not the same as doing

    Finishing a lecture does not mean being able to solve problems on the job.

The learning flow

From assessment to learning plan, in four steps

It starts by diagnosing skill gaps and carries through to hands-on practice and feedback.

  1. 1

    Interview

    Assessment interview

    A conversation finds your current level and weak points

  2. 2

    Path

    Tailored learning path

    Skip what you know; start where you are short

  3. 3

    Practice

    Practice and scoring

    Practice each skill and get scored

  4. 4

    Tutor

    1:1 AI tutor

    It tells you why it fell short and where to go next

Tailored learning path

It skips what you already know

Based on the gaps found in the assessment, we propose a 2–3 week learning plan. You pick only the segments you need and work through them in order.

  • 51 tracks; pick only the segments you need across three levels — beginner, intermediate, expert
  • Progress is shown per skill, so you can see at a glance how far you have come
  • Skills you did not pass can be studied again
Python 트랙의 초급·중급·전문가 학습 경로와 초급 진행률 12%를 보여주는 화면

Tracks

From fundamentals to the AI-era stack

51 tracks are split into three levels — beginner, intermediate, expert — and each learning plan is tailored from within them.

  • Artificial intelligence

    Tensorflow
    Image data analysis

  • Artificial intelligence

    LangChain
    AI agents

  • Artificial intelligence

    PyTorch
    Training deep learning models

  • Artificial intelligence

    Prompt
    engineering

  • Data

    Python
    Data analysis

  • Programming

    Java
    Object-oriented programming

  • Web development

    Spring
    Web backend

  • Dev environment

    Git
    Collaboration workflow

Practice environment

Learn by doing, not just watching

Every skill comes with practice tasks so you apply what you learn right away. In development tracks, you code directly in the browser and are scored on the output. Nothing to install, no setup.

  • Four task types: multiple choice, fill in the blank, code interpretation, code writing
  • Coding tasks are run in a real execution environment and scored
  • Every lesson opens with a real work scenario, and the tasks sit inside it
학습 안내 위에 AI 프롬프트와 생성된 Python 코드·실행 결과 창이 겹쳐진 화면

1:1 AI tutor

Ask the moment a question comes up

Without leaving the learning screen, you can ask the AI tutor a question at any stage — review, reading, or practice.

  • Scores your answers against each criterion and explains the reasoning
  • You learn where and why it fell short, then try again
  • When you get stuck, work it through with the AI tutor
RICJ 학습 화면 위에 AI 튜터의 질문과 답변 대화창이 떠 있는 화면

After the learning, we confirm what changed

We place the assessment at the start beside the re-assessment at the end and check, per person and per organization, which areas rose and by how much.

Organization operations

From running programs to measuring results,
all on one screen

Set the schedule per cohort — operations run automatically and results arrive as data.

Automated cohort management

From launch to close,
scheduling that runs itself

Assign learners and dates per cohort; learning opens only during that window and closes automatically at the end.

Multi-level progress dashboard

Progress and scores by
organization, track and person at a glance

Track learning in real time from the whole organization down to each person, and spot the skill areas that need work.

원클릭 성과 리포트

실시간 조회는 물론
엑셀 다운로드까지 한 번에

기수 종료와 동시에 개인별 상세 리포트와 조직별 성과 요약을 확인하고, 파일로 내려받아 보관할 수 있습니다.

Adoption process

Just give us the roster and the period

The trial runs as a single 2–3 week cohort, and we deliver the results as it closes.

  1. 2 days after applying

    Cohort setup

    We take the participant roster and the learning period, create the cohort, and prepare accounts.

  2. Day 1

    Assessment interview

    Learners open the link and start with the assessment interview. The result becomes the learning plan.

  3. 2~3주

    학습과 실습

    학습자는 계획대로 실습을 진행하고, 담당자는 대시보드로 진행 상황을 봅니다.

  4. 종료 시

    리포트 전달

    개인 리포트와 조직 요약을 전달하고, 다음 기수 범위를 함께 정합니다.

FAQ

시작 전에 많이 묻는 질문

사전 지식이 없어도 되나요?

네. 진단 인터뷰가 현재 수준을 먼저 확인하고 초급 레벨부터 학습 경로를 제안합니다. 이미 아는 영역은 건너뛸 수 있습니다.

하루에 얼마나 써야 하나요?

하루 30분에서 1시간을 기준으로 2~3주 계획을 만듭니다. 스킬 단위로 끊어져 있어 시간이 날 때 한 스킬씩 진행할 수 있습니다.

설치할 프로그램이 있나요?

없습니다. 학습부터 실습·채점까지 모두 브라우저에서 이뤄지므로 별도 프로그램을 설치하거나 설정할 필요가 없습니다.

어떤 언어와 기술을 다루나요?

Python · Java · JavaScript · C++ · SQL · Git · Linux 같은 기본기부터 프롬프트 엔지니어링 · LangChain · LangGraph · PyTorch · TensorFlow까지 51개 트랙을 제공합니다.

진단 결과가 정확한가요?

대화형 진단의 첫 결과는 학습을 시작하기 위한 기준입니다. 이후 정답률과 제출 코드가 반영되면서 학습 경로를 계속 조정합니다.

2~3주 뒤, 구성원의 실력 변화를 확인하세요

대상자 명단과 기간만 알려주시면 기수를 만들어 드립니다.

체험 프로그램 신청