Kenya's #1 AI-in-Medicine Learning Platform — Nairobi

Train Healthcare
Professionals to
Work With AI

A structured 10-week programme teaching doctors, nurses, radiologists, and public health professionals to confidently integrate AI into clinical practice — grounded in African healthcare realities, the Kenya Data Protection Act, and internationally accredited by KMPDC, AMA, and GMC.

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Recognised By
KMPDC Accredited WHO CME Partner AMA Recognised GMC Listed CPD ISO 27001 Secure Research Enabled
AI Diagnostics

AI-Powered Clinical Decision Support

Real-time diagnostic assistance helping Kenyan clinicians make faster, more accurate decisions at the point of care.

Medical Imaging AI

AI-Assisted Radiology & Imaging

Training clinicians to confidently interpret AI-generated insights from X-rays, CT scans, MRI, and ultrasound.

Team Collaboration

Peer Learning & Research Networks

Multidisciplinary teams across Kenya and East Africa collaborating on cases, ethics, and published AI research.

Advanced Specialties

From Neurology to the Cath Lab

From brain scan AI analysis to interventional cardiology — specialist training for Kenya's most complex clinical environments.

Doctor and clinical staff reviewing AI chest X-ray analysis
AI Image Analysis X-Ray · CT · MRI · Ultrasound
Why AMZ

AI Is Already in Your
Hospital. Are You Ready?

AI diagnostic tools, clinical decision support systems, and automated monitoring are being deployed across Kenyan hospitals right now — but most healthcare professionals have received no training on how to use them safely and effectively.

AMZ bridges that gap with courses built by clinicians, for clinicians. No coding. No maths. Just practical, role-specific training that makes you confident with AI on day one.

10 structured weekly modules — AI fundamentals through capstone presentation
Grounded in Kenya Data Protection Act 2019 and African healthcare contexts
Ubuntu philosophy & the CARE framework embedded in ethics training
KMPDC · AMA · GMC · WHO internationally recognised certificates
Capstone project presented to an expert clinical AI panel
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10-Week Structured Programme

Choose Your Learning Track

Enrol in the complete 10-week flagship programme or join a focused track. All tracks draw from the same accredited curriculum — grounded in African healthcare realities and internationally certified.

Flagship Programme

Complete 10-Week AI in Healthcare Programme

The full curriculum — from defining AI and ML to capstone project presentation. Covers foundations, ethics, clinical applications, public health, NLP, and AI regulation in Africa. KMPDC · AMA · GMC accredited.

10 Modules ~80 Hours All Levels
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AI Foundations Track Weeks 1–3

Introduction to AI & ML in African healthcare, data science & statistics for clinicians (AUC-ROC, sensitivity, data gaps), and supervised vs unsupervised ML — no coding required.

3 Modules 24 Hours Beginner
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Ethics & Data Governance Weeks 4–5

AI ethics through African and decolonised lenses — Ubuntu philosophy, the CARE framework, WHO & EU AI Act critiqued. Kenya Data Protection Act 2019 applied, federated learning, and community data governance.

2 Modules 16 Hours All Levels
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Clinical AI Applications Weeks 6–7

Diagnostic algorithms, pattern recognition & explainability, CDSS integration, malaria diagnostic case study. CNNs & transfer learning, medical imaging AI — radiology, pathology, ophthalmology, obstetric ultrasound.

2 Modules 16 Hours Intermediate
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Public Health & Surveillance AI Week 8

AI for outbreak prediction, maternal & child health, NCD risk, supply chain AI, and healthcare workforce planning. Hands-on simulation: managing a cholera outbreak using AI surveillance tools.

1 Module 8 Hours Intermediate
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AI Tools, NLP & Capstone Weeks 9–10

Practical AI platforms for clinical use, NLP for ICD coding & adverse event detection, Kiswahili & African-language NLP challenges. Concludes with a capstone project presented to an expert panel.

2 Modules 16 Hours Advanced
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Peer Learning

Learn Together.
Grow Together.

Join the growing network of AI-forward healthcare professionals in Kenya and East Africa. Collaborate on real cases, debate ethics, co-author research, and grow together across disciplines.

Live case discussion forums
Monthly expert webinars
Research team collaboration
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Curriculum — 10-Week Module Overview

Featured Modules from the Programme

Six of the ten weekly modules — enrol to access the full curriculum. Module content is published by our academic team on a rolling weekly basis.

Week 01
Foundations

Introduction to AI in Healthcare & African Contexts

Define AI, ML & deep learning. African healthcare landscape, challenges, and AI success stories: Uganda, Kenya, Egypt.

6h 00m 3 topics 4.9
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Week 04
Ethics & Governance

AI Ethics — Decolonised & African Perspectives

WHO, EU AI Act & OECD frameworks critiqued. Ubuntu philosophy, the CARE framework, and African healthcare ethical dilemmas.

8h 00m 3 topics 5.0
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Week 05
Ethics & Governance

Data Handling, Privacy & Governance in African Healthcare

Kenya Data Protection Act 2019 applied. Privacy-preserving techniques including federated learning. Community-based data governance models.

7h 00m 3 topics 4.8
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Week 06
Clinical AI

Diagnostic Algorithms & Clinical Decision Support Systems

Pattern recognition & explainability. CDSS types and integration challenges. Case study: evaluating a malaria diagnostic AI.

7h 30m 3 topics 4.9
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Week 07
Clinical AI

Medical Imaging & AI

CNNs, transfer learning & image classification. Radiology, pathology, ophthalmology, obstetric ultrasound. AI vs. expert radiologist interpretation lab.

9h 00m 3 topics 5.0
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Week 09
AI Tools & NLP

Practical AI Tools, NLP & Large Language Models in Healthcare

AI platforms for clinical use. NLP for ICD coding & adverse event detection. Multilingual NLP: Kiswahili & African languages.

8h 30m 3 topics 4.8
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Enrol to Access All 10 Modules
Research Collaboration Hub

Do Real Medical AI Research Together

AMZ is more than a learning platform — it is an active research community. Starting from Week 10's capstone, learners form teams, access clinical datasets, and publish peer-reviewed medical AI research alongside our academic and clinical partners across East Africa.

Form Research Teams

Create or join research groups of up to 6 clinicians across specialties. Collaborate in real time with shared workspaces, data, and communication tools.

Access Clinical Datasets

Work with fully anonymised, ethics-approved clinical datasets from partner hospitals — including imaging, EHR records, and genomic data — for your research.

Publish & Peer Review

Submit your research for internal peer review by our academic board. Top papers receive support for submission to indexed international medical AI journals.

Mentored by Professors

Research teams are matched with faculty mentors from our academic board to guide methodology, strengthen methodology, and support international publication.

Research Awards & Recognition

Outstanding research earns publication credits, distinction certificates, and ranking upgrades on the platform leaderboard — recognised by our academic partners.

East Africa Impact Projects

Apply AI research to real clinical challenges in Kenyan healthcare — from malaria detection to maternal health AI — with measurable patient outcome impact.

Start a Research Project Join an Existing Team
Simple Process

Your Journey to AI Proficiency

01

Enrol & Verify

Register, verify your healthcare credentials, and unlock your access to the 10-week curriculum and the AI Sandbox.

02

Follow the 10-Week Curriculum

Progress through modules released weekly — from AI fundamentals to ethics, imaging, public health, NLP, and your capstone project.

03

Present Capstone & Certify

Complete your Week 10 capstone project, present to our expert panel, and earn your internationally accredited KMPDC · AMA · GMC certificate.

What the Curriculum Covers

From AI Basics to
Capstone Research —
10 Weeks, One Journey

Every module in the 10-week programme is grounded in African healthcare realities — from Kiswahili NLP to the Kenya Data Protection Act 2019, the CARE framework, and public health simulations using real outbreak data.

AI & ML Basics Medical Imaging AI AI Ethics (Decolonised) Ophthalmology AI Obstetric Ultrasound AI Pathology AI Public Health Surveillance NLP & LLMs in Healthcare Kiswahili NLP Kenya Data Protection Act Healthcare Data Science Capstone Presentation
Enrol in the Programme
Learner Stories

What Our Clinicians Say

"The Radiology AI course changed how I work. I now use AI tools to double-check my reads and have caught lesions I would previously have missed. My KMPDC CPD points were credited automatically — brilliant."

AK
Dr. Amara K.Radiologist, National Referral Hospital, Nairobi

"I joined a research team through the platform and we co-authored a paper on AI malaria screening — submitted to a WHO-linked journal. I never imagined I could do this as a nurse."

BN
Sr. Beatrice N.ICU Nurse, University Teaching Hospital, Nairobi

"The AI Ethics course is mandatory reading for any Kenyan clinician. The section on patient consent under Kenyan law is particularly valuable. My GMC certificate arrived the same day I finished."

JM
Dr. James M.Medical Officer, Private Hospital, Nairobi

"I ranked 2nd on the leaderboard last month and received a commendation letter from the academic board. The research hub helped me connect with a faculty mentor for my postgrad thesis."

FM
Dr. Fatuma M.Registrar, Teaching Hospital, Nairobi

"As a postgraduate student, this platform is invaluable. The research datasets and faculty mentorship programme are world-class — and my AMA certificate was worth every minute."

RO
Dr. Robert O.MMed Student, Medical School, Kenya
Questions & Answers

Frequently Asked Questions

The programme covers: Week 1 — AI & ML fundamentals in African healthcare contexts. Week 2 — Data science & statistics (AUC-ROC, sensitivity, African data gaps). Week 3 — ML basics, supervised & unsupervised learning. Week 4 — AI ethics through decolonised and African lenses (Ubuntu, CARE framework, WHO/EU AI Act). Week 5 — Data handling, Kenya Data Protection Act 2019, federated learning. Week 6 — Diagnostic algorithms & CDSS, malaria AI case study. Week 7 — Medical imaging AI: radiology, pathology, ophthalmology, obstetric ultrasound. Week 8 — Public health AI, outbreak prediction, cholera simulation. Week 9 — NLP, LLMs, Kiswahili NLP for clinical use. Week 10 — AI regulation, Kenya National AI Strategy, and capstone presentations to an expert panel.

No. The curriculum is built for clinicians, not data scientists. AI and ML concepts are explained using clinical analogies — "training data" is like a junior doctor learning from cases; "algorithm" is like a diagnostic protocol. Weeks 1–3 (Foundations) require zero programming or maths background, and the entire programme is designed so any healthcare professional can follow along.

AMZ completion certificates are recognised by: Kenya Medical Practitioners & Dentists Council (KMPDC) for CPD points; the American Medical Association (AMA) for CME credits; the General Medical Council (UK) as listed CPD; and aligned with WHO health workforce learning standards. Learners who complete the Week 10 capstone and present to the expert panel receive an additional distinction certificate co-signed by our academic board.

In Week 10 learners complete an applied capstone project — using AI in a clinical scenario of their choosing — and present findings to our expert panel. From there, learners can form or join a research team of up to 6 members, access anonymised clinical datasets, and receive mentorship from our academic board. Completed research can be submitted for peer review and potential publication in indexed medical AI journals.

Absolutely. We offer institutional packages with group enrolment, a manager dashboard to track CPD compliance per department, custom learning paths aligned with your hospital's protocols, and research team setup support. Contact us at +254 756 535 289 or info@amzmedzone.co.ke for a custom quote.

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Join Healthcare Professionals
Training With AI

Whether you are a student doctor or a senior consultant, there is a course for you. Create your account and earn an internationally recognised certificate.

Emailinfo@amzmedzone.co.ke
Phone / WhatsApp+254 756 535 289
LocationNairobi, Kenya

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