What thismonthcovers.
This course teaches programming fundamentals alongside the AI tools practising engineers now use daily. Students learn Python and version control, and how to direct, review, and correct AI-generated code — then build and deploy a small application that solves a real task.
1 month (~20 sessions) — usually a student's third module
DURATION
Lab sessions + weekend project sprints, ~15 students per section
FORMAT
Comfort with a computer; the electronics course helps for hardware projects
PREREQUISITES
A small deployed application or automation, code on GitHub, and a short write-up
DELIVERABLE
Coding exercises, a code-review exercise on AI output, and a final project demo
ASSESSMENT
Laptop, AI-tool access, and cloud credits for every student
PROVIDED
By month'send, astudent can…
- CLO1Write, run, and debug Python programs using variables, control flow, functions, data structures, and files.
- CLO2Use Git and GitHub for everyday version control — branch, commit, diff, pull request, and resolve a conflict.
- CLO3Prompt an AI coding assistant precisely, and break a task down so the model can help with each piece.
- CLO4Read AI-generated code critically: spot bugs, security issues, and wrong assumptions, and test before trusting it.
- CLO5Use AI tools to explain unfamiliar code, draft tests, and speed up debugging.
- CLO6Package and deploy a small application, and document how to run it.
Advancingthe wholepathway.
A graduate of E47’s three-month engineering pathway can do all six of the outcomes below. This one-month module carries the highlighted ones.
Where thiscoursesits.
E47's Educate value is 'teach people to solve, not to memorise'. AI tools make that literal — the skill is no longer recalling syntax, it is decomposing a problem and judging a solution. This course teaches the judgement.
It is placed last in the pathway on purpose: students have real engineering projects by now, so AI-assisted coding is applied to their own hardware and data, not to toy exercises.
This is also the most direct on-ramp to global, remote-paid work — the Empower value — because it is the skill set a client anywhere in the world can hire from Hunza tomorrow.
Each course is one month. A student’s journey with E47 is 3 months — three one-month modules that hand off to each other and finish on the mechatronic capstone.
Tools thestudentwill use.
Python 3 + VS Code
AI coding assistants (Copilot / chat-based LLMs)
Git & GitHub
A free-tier cloud host
Command line, virtual environments, basic testing
One student,onemonth.
Planning estimate in USD for Cohort 1 in Hunza, covering this one-month module for a single student on the free track.
| Instructor + teaching-assistant time (per-student share) | $32 |
| AI-tool subscriptions & API credits (per student / month) | $22 |
| Laptop depreciation + cloud compute credits | $18 |
| Space, power, internet (higher bandwidth) | $22 |
| Assessment & project demo | $6 |
| Total — per student, 1 month | $100 |
About $100 of a roughly $350 blended three-month cost per student, across the three-module journey.
