AI and Python Foundations

Entry requirements

Basic computer literacy; no coding required

What 24 hours means

Lessons

18 h

Capstone

4 h

Assessment

1 h

Remediation

1 h

Syllabus

Four modules, twelve lessons. Every lesson states what it covers and the evidence you produce for it.

• Module

  01

  3 lessons · 4.5 h

  

  Module 1

  AI concepts

  AI capabilities and limits · Notebook and file skills · Variables and data types

  F01Show lessonsHide lessons▾

  1. F01.01 · 90 min

     AI capabilities and limits

     Distinguish rules, machine learning and generative AI; classify six education and business tasks.

     Evidence: A justified task map with at least five correct classifications.

  2. F01.02 · 90 min

     Notebook and file skills

     Run cells in order, locate files and restart the environment; inspect a supplied dataset.

     Evidence: A notebook that runs from a clean kernel without manual fixes.

  3. F01.03 · 90 min

• Module

  02

  3 lessons · 4.5 h

  

  Module 2

  Python essentials

  Conditions and loops · Functions and exceptions · Collections and JSON

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  1. F01.04 · 90 min

     Conditions and loops

     Route enquiries with explicit conditions and process a list without duplicate outputs.

• Module

  03

  3 lessons · 4.5 h

  

  Module 3

  Working with data

  NumPy and arrays · Pandas preparation · Charts and interpretation

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  1. F01.07 · 90 min

     NumPy and arrays

     Compare array operations with loops; calculate summary measures.

     Evidence:

• Module

  04

  3 lessons · 4.5 h

  

  Module 4

  Reliable programs

  APIs and responses · Testing and version control · Responsible AI project planning

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  1. F01.10 · 90 min

     APIs and responses

     Call a mock course API; validate status codes, JSON and pagination.

Capstone

Build a reproducible student enquiry analyser using synthetic records. Submit a notebook, validated CSV output, tests and a short explanation of where AI would and would not help.

Lab environment

CPU notebook

Lab infrastructure is not yet provisioned, so this describes the environment the course is designed for rather than one you can launch today.

Part of a pathway

• Applied AI Practitioner