Yiga AI

Course 1 of 5

AI in Healthcare

Diagnostics, Triage, Records, and more.

Yiga AI

Beginner en

Beginner · Course · 3 weeks at 5 hrs/week

Duration
3 weeks
Effort
5 hrs/week
Lessons
13
Hands-on exercises
13
Projects
1
Language
en

What you’ll learn

Skills you can put to work.

AI in Healthcare

Clinical Documentation with AI

Patient Communication & Triage Tools

Data & Public Health Analytics

Syllabus

Every module, step by step.

3 modules · 17 lessons · 11 hours · 1 graded project

668 minutes of guided lesson time.

Sign in and enrol to unlock every lesson. The first lesson is open as a preview.

Module 1 · 6 lessons · 3.1 hoursDiagnosticsModule 1 of 3 in AI in Healthcare.

  1. Quick start: summarise a patient handover with AI

    A 5–10 minute win you can use today.

    Lesson

    8 min

  2. Overview and set-up

    Overview and set-up — Diagnostics in AI in Healthcare.

    Lesson · Locked

    40 min

  3. Core concepts

    Core concepts — Diagnostics in AI in Healthcare.

    Lesson · Locked

    40 min

  4. Worked example

    Worked example — Diagnostics in AI in Healthcare.

    Lesson · Locked

    40 min

  5. Hands-on practice

    Hands-on practice — Diagnostics in AI in Healthcare.

    Lesson · Locked

    40 min

  6. Module quiz: Diagnostics

    Check what you learned in Diagnostics before moving on.

    Quiz · Locked

    20 min
Module 2 · 5 lessons · 3 hours LockedTriageModule 2 of 3 in AI in Healthcare.

  1. Overview and set-up

    Overview and set-up — Triage in AI in Healthcare.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Triage in AI in Healthcare.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Triage in AI in Healthcare.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Triage in AI in Healthcare.

    Lesson · Locked

    40 min

  5. Module quiz: Triage

    Check what you learned in Triage before moving on.

    Quiz · Locked

    20 min
Module 3 · 6 lessons · 5 hours LockedRecordsModule 3 of 3 in AI in Healthcare.

  1. Overview and set-up

    Overview and set-up — Records in AI in Healthcare.

    Lesson · Locked

    40 min

  2. Core concepts

    Core concepts — Records in AI in Healthcare.

    Lesson · Locked

    40 min

  3. Worked example

    Worked example — Records in AI in Healthcare.

    Lesson · Locked

    40 min

  4. Hands-on practice

    Hands-on practice — Records in AI in Healthcare.

    Lesson · Locked

    40 min

  5. Module quiz: Records

    Check what you learned in Records before moving on.

    Quiz · Locked

    20 min

  6. Graded project: AI in Healthcare

    Apply everything from AI in Healthcare in one graded, portfolio-ready build.

    Graded project · Locked

    120 min

Applied learning project

Make the learning visible.

Use Graded project: AI in Healthcare to apply this course to a practical challenge. You’ll finish with a clear solution and the reasoning behind your choices.

Apply the course’s core skillMake and explain practical decisionsCreate evidence you can share
Daniel O., Data & analytics

Your instructor

Daniel O.

Data & analytics

Turns real African data problems into practical lessons learners can apply immediately.

Brian Okello, Yiga learner

“The course content made machine learning understandable, and the practice kept me moving.”

Brian Okello

Software developer, Kampala

Continue with

Your next best step.

Following the order of AI for Healthcare Workers.

See the full chain

Next lesson

Quick start: summarise a patient handover with AI

AI in Healthcare

8 min · Resume

Course 2 in the track

Patient Communication & Triage Tools

Chatbots, WhatsApp follow-ups, Health education, and more.

Beginner · Course · 3 weeks at 5 hrs/week

Course 3 in the track

Clinical Documentation with AI

Notes, Summaries, Coding, and more.

Beginner · Course · 3 weeks at 5 hrs/week

Course 4 in the track

Capstone: Improve One Clinical Workflow

Select, Design, Pilot, and more.

Beginner · Course · 3 weeks at 5 hrs/week

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