For bootcamps and cohort programs

Your students learn more
when you stay in the room.

Arclab is not a replacement for your instruction. It is the structure that makes every session land harder, every concept stick longer, and every student arrive prepared. You teach. Arclab reinforces.

2Structured tracks ready to run
100+Lessons across both tracks
5Task types per lesson
0Setup required from students

Students copy.
They do not understand.

In most cohorts, students spend the lesson watching, then go home and copy solutions from the internet. By the next session, nothing has transferred.

AI made it worse. Now they generate code they cannot read, cannot debug, and cannot explain in an interview. Your instruction is good. The practice between sessions is broken.

Arclab fixes the practice layer. Every lesson ends with a predict, write, and diff cycle. Students cannot move forward without engaging with the material. You see who understood and who did not, before you walk into the next session.

Three things happen
in every lesson.

You assign the topic. Arclab handles the structured practice that turns exposure into understanding.

1
Students predict before they type
Every lesson opens with a code snippet and a question. Students commit to an answer before running anything. Wrong guesses are where the real learning starts.
2
They write it themselves
Students solve the problem in a real editor. No autocomplete, no AI assist. The muscle memory built here is what transfers to a job and an interview.
3
They diff against the AI and explain it back
Their solution appears beside the AI's. They see the gap, analyze why it exists, and explain the difference in their own words. That explanation is the comprehension check.

Watch one session.
Two minutes.

This is what your students experience between sessions — and what you see before walking into the room.

Skills that hold up
outside the classroom.

They can read code they did not write
Reading unfamiliar code is the daily reality of a developer job. Arclab trains this from lesson one through structured trace exercises.
They know when AI output is wrong
The diff step builds a mental model for evaluating generated code. Students learn to spot subtle bugs in AI output, not just accept it.
They can explain decisions out loud
Every lesson ends with an explanation in the student's own words. This maps directly to technical interviews and code review culture.
They build real things, not toy exercises
Both tracks end in deployed projects. Students leave with a portfolio of work they actually understand, not just cloned tutorials.

What people say
after using it.

I use Arclab to refresh my coding knowledge. It pulls me back to the fundamentals in a way that actually sticks, not just re-reading docs.
PS
Prashan Sapkota
Student
This reframed how I think about building agentic applications. The predict-then-diff approach made me actually understand what the AI was doing, not just copy it.
AB
Aastika Banstola
Student
Helped me revisit my foundations while working in data science. Things I thought I knew but could not explain — Arclab surfaces those gaps fast.
PA
Prabesh Aryal
Data Scientist

Simple terms.
No upfront cost.

We are looking for a small number of programs to run a pilot cohort with. If it works for your students, we work out a revenue share arrangement. If it does not, you owe nothing.

  • Revenue share per enrolled student, no flat fees
  • We help facilitate your first cohort session
  • You keep full control over curriculum pacing
  • Students need zero setup, browser only
  • Both Python Foundations and Junior Developer tracks available
  • We iterate based on what your students actually need
Tell us about your program
We will reach out within one business day to set up a short call.

No pitch deck. No obligation. Just a conversation.

Your instruction.
Their understanding.

One pilot cohort. No upfront cost. We show up and help you run it.

Request a pilot conversation