Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare is an original Mai Studies programme in healthcare technology & ai. Over 4 weeks and roughly 20 guided hours you work through recorded classes, written notes, practical activities, knowledge checks and assessed tasks marked against a published rubric with an 80% pass mark. All material is written in-house. Mai Studies is independent: no official examination content, question bank, recording or branding from any certification body is reproduced, and completion leads to a Mai Studies completion certificate rather than a regulated or accredited qualification.

4 weeks 20 guided hours Beginner

Join membership to study

Included with Mai Studies membership at no extra cost. Fee waivers are available through scholarships and open access.

Artificial Intelligence in Healthcare course artwork

What you will achieve

Explain the core principles of artificial intelligence in healthcare in plain language
Apply the methods safely and correctly to realistic scenarios
Produce a documented portfolio piece assessed against a published rubric
Plan your next steps in how AI assists with diagnostics

Entry guidance

— No prior experience needed
— A computer and a reliable internet connection

Original Mai Studies learning material. This is a professional completion programme, not a regulated qualification or university accreditation.

Programme syllabus

3 applied modules

Lessons: 6
Assessed tasks: 3
Practice questions: 68
Timed mock papers: 4

Foundations of Artificial Intelligence in Healthcare

Core concepts, vocabulary and working environment for artificial intelligence in healthcare.

2 lessons · 23 practice questions · 1 assessed task

1. What artificial intelligence in healthcare really involves21 min study · 3 learning objectives · practical activity
A grounded tour of the problems this beginner programme solves and the language practitioners use.
2. Setting up your working environment21 min study · 3 learning objectives · practical activity
Prepare the tools, accounts and folder structure you will use throughout the programme.

Foundations of Artificial Intelligence in Healthcare: assessed task — marked out of 100, pass at 80%

Applied practice in Artificial Intelligence in Healthcare

Hands-on work that turns theory into a repeatable method for how AI assists with diagnostics.

2 lessons · 23 practice questions · 1 assessed task

1. Working through a realistic scenario21 min study · 3 learning objectives · practical activity
Follow a complete worked example end to end, explaining each decision as you go.
2. Common mistakes and how to avoid them21 min study · 3 learning objectives · practical activity
The errors that cost practitioners most time, and the checks that catch them early.

Applied practice in Artificial Intelligence in Healthcare: assessed task — marked out of 100, pass at 80%

Portfolio project, assessment and next steps

Produce assessed evidence of your capability and plan the study that follows this programme.

2 lessons · 22 practice questions · 1 assessed task

1. Building your portfolio piece21 min study · 3 learning objectives · practical activity
Plan, build and document a piece of work you can show to an employer or client.
2. Where to go next21 min study · 3 learning objectives · practical activity
Honest guidance on further study, practice habits and how this fits a wider career path.

Portfolio project, assessment and next steps: assessed task — marked out of 100, pass at 80%

Timed mock papers

Artificial Intelligence in Healthcare: timed mock paper 1 — 180 minutes, 30 objective questions plus written and computational tasks
Artificial Intelligence in Healthcare: timed mock paper 1 — 180 minutes, 30 objective questions plus written and computational tasks
Artificial Intelligence in Healthcare: timed mock paper 2 — 180 minutes, 30 objective questions plus written and computational tasks
Artificial Intelligence in Healthcare: timed mock paper 2 — 180 minutes, 30 objective questions plus written and computational tasks

Lesson pages, assessed tasks and mock papers open the moment you join this programme. Teaching material is studied online; the notes you write are yours to download.

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