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The first AI for Healthcare training course

AI for Healthcare Training Course

Build practical knowledge and skills across the AI journey in healthcare, from identifying opportunities to deploying AI tools.

Dates

Venue

Who should attend

What you’ll learn

01

Ideation

Frame clinical problems worth solving.

02

Development

Build AI tools from health data.

03

Training

Work hands-on with model training and evaluation.

04

Deployment

Bring AI into clinical workflows.

05

Post-deployment

Monitor AI and understand governance and regulation.

Lead instructors

Dr Deogratias Muzikikawa

PhD, AI for healthcare

Dr Simeon Mayala

PhD, Mathematics

Prof Karim Lekadir

University of Barcelona

Prof Chee Siang Ang

Imperial College London

Course fees

MUHAS and adjunct staff

TZS 300,000

Other participants

TZS 500,000

Register

Register online using the button below, or scan the QR code on the poster.

Registration deadline: 25 October 2026

Enquiries

About the ETH Laboratory

We research and develop healthcare solutions using emerging technologies, including AI, VR, AR, and blockchain. The laboratory has 13 on-premise GPUs.