ENGINEERING FOUNDATIONS / CORE

AI101Engineering foundations: Python, Linux & Git

40 h productive allocation16 h learning + 24 h training4 units · 1 assessed practical brief

Detailed course plan and training brief. A complete taught course pack is in preparation. The linked foundation module, where shown, is a smaller available resource.

BEFORE YOU BEGIN

A clear starting point.

Prerequisites: Basic school-level computing; readiness bridge as needed

Core studio / CPU-friendly local or notebook environment

WHAT YOU SHOULD BE ABLE TO DEMONSTRATE

Explain the assumptions and failure modes in the developer workstation.
Complete the practical: create a small CSV-audit command-line tool, develop it on a feature branch, review a change and demonstrate a fresh-clone run.
Defend the resulting versioned repository with reproducible evidence.

THE SUBJECTS / FOUR CONNECTED UNITS

What you will study.

UNIT 0110 h allocated

The developer workstation

Shell navigation
paths and permissions
virtual environments
dependency records

UNIT 0210 h allocated

Python as engineering

Functions and modules
exceptions
typing
debugging
files and structured data

UNIT 0310 h allocated

Git and team delivery

Working tree, index and commits
branching
merge conflicts
pull-request review

UNIT 0410 h allocated

A reproducible first repository

README and issue tracker
minimal tests
clean-clone run
secret hygiene

THE TRAINING STUDIO

Make the subject
visible in your work.

Create a small CSV-audit command-line tool, develop it on a feature branch, review a change and demonstrate a fresh-clone run.

Evidence to produce

Versioned repository
environment record
passing tests
reviewed change and run instructions

Training brief for supervised delivery. Code, datasets, answer keys and environment acceptance must be completed in the full course pack before delivery is confirmed.

ASSESS THE REASONING

A question you
should be able to answer.

Explain the difference between a commit, a branch, an environment and a deployed application.

Review dimensions

Technical correctness · reproducibility · interpretation of results · failure analysis · individual explanation. Course-level rubric and faculty moderation form part of the final adopted teaching pack.

Continue in the official reference ↗Programme assessment framework →

External reference access, hardware, cloud accounts and paid services are separate. No third-party certification is included by implication.