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Certification Programme
Clinical AI
Healthcare Certificate

A one-month intensive programme equipping healthcare professionals with hands-on AI skills in medical imaging, diagnostics, and digital health transformation. Led by Ulster University faculty.

August 2026
Sat & Sun Only
On-Campus
Open to All
Clinical AI Healthcare Certificate — August 2026
Medical Imaging AI ·
Deep Learning for Diagnostics ·
Python for Healthcare ·
Brain Tumour Segmentation ·
Dental X-Ray Analysis ·
Lab Data AI ·
Clinical Decision Support ·
Ulster University, Belfast ·
August 2026 · Weekend Programme ·
Medical Imaging AI ·
Deep Learning for Diagnostics ·
Python for Healthcare ·
Brain Tumour Segmentation ·
Dental X-Ray Analysis ·
Lab Data AI ·
Clinical Decision Support ·
Ulster University, Belfast ·
August 2026 · Weekend Programme ·
Programme Overview
See what this
programme delivers

Watch Dr. Muhammad Usman Hadi explain the programme structure, what you'll build, and who this certification is for.

Hands-on sessions with real medical datasets
Weekend-only — no career disruption
Ulster University diploma upon completion
Direct pathway to NHS, global HealthTech roles
Dr. Muhammad Usman Hadi
Module Lead · Ulster University, Belfast, UK
4wk
Duration
8
Full-Day Sessions
4
Focus Areas
Open to All
Medical Imaging AI
Diagnostic Decision Support
Dental Imaging AI
Laboratory Medicine AI
Dr. Muhammad Usman Hadi
Top 2% Researchers Worldwide
Connect on LinkedIn
Module Lead & Instructor
Dr. Muhammad
Usman Hadi
Assistant Professor · Ulster University, Belfast, UK

Dr. Hadi is an internationally recognised AI researcher and educator, ranked among the Top 2% of researchers globally for four consecutive years (since 2021). He is an Assistant Professor at Ulster University, Belfast, where he actively builds AI systems transforming the NHS and European healthcare ecosystems.

With over 5,000+ citations in AI and medical technology research, Dr. Hadi bridges the critical gap between cutting-edge AI and real-world clinical practice. His work spans medical imaging, deep learning for diagnostics, and digital health transformation — the exact skills you will build in this programme.

5k+
Global
Citations
4yr
Top 2%
Researcher
NHS & EU
Healthcare AI
Ulster University, UK
Medical Imaging AI
Clinical Deep Learning
NHS HealthTech
Diagnostic AI Research
Why this programme
Bridging the gap between
AI and Medicine

Engineers often lack clinical context. Healthcare workers often lack technical skills. This programme is designed specifically to bridge that gap — equipping you with applied, hands-on competencies that are immediately relevant in the clinic, research lab, or digital health industry.

Medical Imaging
AI analysis of X-rays, CT scans, and MRI — automated detection of pneumonia, cancer, and fractures.
Diagnostic AI
ML tools supporting clinical decision-making by identifying patterns in patient data invisible to the human eye.
Dental Imaging
Automated detection of caries, periodontal disease, and structural anomalies from panoramic X-rays.
Laboratory Medicine
AI-driven analysis of blood tests, biomarkers, pathology results, and multi-parameter diagnostic panels.
Programme Structure
4-week curriculum

Four phases progressing from foundational Python skills to advanced deep learning, culminating in independent clinical AI projects using real-world medical datasets.

1
Foundations
Week 1 — Saturday & Sunday
Week 1
Python for AIJupyter Notebook NumPy & PandasDICOM & Healthcare Data Scikit-learnML Classification
2
AI & Machine Learning in Healthcare
Week 2 — Saturday & Sunday
Week 2
AI Patient SimulationsClinical Reasoning Image Segmentation I & IICheXpert Dataset NIH Chest X-ray
3
Mini Projects — Clinical Case Studies
Weeks 3 & 4 — Saturday & Sunday
Weeks 3–4
Dental: Panoramic X-ray AIMBBS: Brain Tumour MRI Lab Science: Diagnostic AITCIA Dataset Anomaly Detection
4
AI Applications in Academics
Week 4 — Sunday
Week 4
NotebookLM for Literature ReviewClaude AI for Writing Abstract DraftingAcademic Editing
What you'll gain
Programme Outcomes

Graduates leave with real skills, a project portfolio, and the technical fluency needed for research, clinical informatics, and industry roles.

Python & AI ProficiencyFoundational and applied Python, data handling, and AI frameworks in a healthcare context
Deep Learning SkillsSupervised classification and image recognition tasks directly relevant to clinical practice
Real Dataset ExperienceHands-on work with chest radiography, radiology, and dental imaging datasets
Career PortfolioTangible project portfolio for research, clinical informatics, and digital health roles (UK, EU, USA)
Global NetworkConnect with peers and faculty across the UK, Pakistan, and USA in digital health
Career pathways
Roles you can pursue

Graduates are equipped for a growing range of digital health and clinical AI roles globally.

Digital Pathology AI Scientist
Leeds Teaching Hospitals · NHS Trust, UK
Build, deploy and evaluate AI tools in clinical & research settings. Advance AI use in NHS to reduce cancer diagnosis waiting times.
Band 7£49,387–£56,515/yrFixed Term
Dental AI Product Specialist
scanO (formerly DentalDost) · Pune, India
Drive adoption of scanO AI Robot. Manage sales cycle, product demos, and represent at dental conferences. BDS/MDS + AI knowledge required.
BDS / MDSHealthTechDental AI
Lead Dental AI Specialist
Pearl · FDA-cleared AI, Global
Lead clinical data annotation & validation for AI products. Work across dentistry, computer vision, data quality & FDA validation.
DDS / DMDFDA Validation5+ yrs exp
Clinical AI Specialist
Hospitals & Clinics · UK / UAE / USA
Support clinical teams in deploying AI diagnostic tools. Bridge the gap between medical staff and AI systems in hospital environments.
MBBS / MBChBClinical InformaticsNHS / Private
Medical Imaging Analyst
Radiology Depts. · NHS / Private
Analyse AI-assisted radiology outputs, validate model predictions, and support radiologists with CT, MRI & X-ray AI interpretation.
RadiographerDICOM / PACSImaging AI
Health Data Scientist
NHS · Private Health · Pharma
Build predictive models from clinical datasets. Work with EHR data, biomarkers, and population health analytics.
Python / R£45k–£70k/yrEHR / HL7
Digital Health Consultant
Consulting Firms · Global
Advise healthcare organisations on AI strategy, digital transformation, and HealthTech implementation.
StrategyDigital HealthRemote / Hybrid
HealthTech Product Manager
Startups & Scaleups · Global
Lead product development for AI-powered health tools. Define roadmaps, work with engineering teams, and bring clinical AI products to market.
Product StrategyAgile / ScrumSeries A–C
Who Should Enrol
Is This Immersion For You?

Strictly designed for ambitious individuals who understand medicine but want to command technology.

Healthcare Professionals
Doctors, Dentists, and Lab Specialists wanting to apply AI directly in their specialties.
Aspirants & Graduates
USMLE/PLAB/ORE candidates seeking a massive competitive edge for overseas careers.
Academics
Early-career biomedical researchers and digital health industry professionals.
The Only Requirement
Curiosity and basic computer comfort. Zero prior AI or coding experience needed.
How It Works
The Clinician Provides the Reasoning.
The AI Provides the Power.

You do not need to become a programmer. You learn to direct computational power using your existing medical expertise.

Human Input
Diagnostic Reasoning
Clinical Context
Medical Knowledge
Technology Exoskeleton
Pre-built AI frameworks
No-code logic environments
Computational processing
Hybrid Output
High-precision diagnostic support
Automated workflows
Predictive patient insights
Takeaway: You do not need to become a programmer. You learn to direct computational power using your existing medical expertise.
Immersive Learning
The AI-Simulated Patient

Students interact with AI-simulated patients presenting real clinical conditions — bridging bedside reasoning with advanced imaging AI.

1
Prompt / Input
Student interacts with an AI-simulated patient presenting specific clinical conditions.
2
Clinical Reasoning
Student applies traditional bedside reasoning to the digital case.
3
Instant AI Feedback
The system provides immediate, data-driven feedback on diagnostic choices.
4
Diagnostic Refinement
Student compares clinical diagnosis with AI model outputs (CheXpert, NIH datasets).
The Outcome
Immediate reinforcement linking bedside reasoning directly to advanced imaging AI.
CheXpert & NIH Chest X-ray Datasets
Real Radiology & MRI Data
Instant AI-Powered Diagnostic Feedback
Tangible ROI
Your Portfolio-Ready AI Solution

Every participant graduates with a tangible AI project portfolio to present to global employers.

Raw Input
Unstructured Clinical Data
DICOM files, CSV records, chest X-rays, MRI scans — real datasets from NIH & TCIA.
Machine Intelligence
Student-Built Python Framework
Supervised ML & Deep Learning models trained and evaluated by you during the programme.
Clinical Output
Deployable Diagnostic Solution
Highly accurate AI tool ready to present to NHS, EU, and global HealthTech employers.
The Guarantee: Every participant graduates with a tangible AI project portfolio to present to global employers.
Global Pathways
A Catalyst for Global Career Mobility

This certification opens doors to elite roles aligned with the NHS, EU HealthTech, and international health innovators.

For Aspirants
Highly valuable portfolio asset for USMLE, PLAB, and ORE applications, demonstrating cutting-edge technical competency.
For Practitioners
Unlocks pathways to elite roles: Clinical AI Specialist, Medical Data Analyst, and Digital Health Consultant.
Global Alignment
Directly aligned with the hiring priorities of the NHS and international health-tech innovators.
NHS · United Kingdom
EU HealthTech
USA · USMLE Pathway
UAE & Gulf Region
Australia · ORE Pathway
Enrol Now
Register for August 2026

Seats are limited for this intensive on-campus programme. Apply today to secure your place and begin building AI skills that directly impact patient outcomes.

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Registration Form
Clinical AI Healthcare Certificate — August 2026
Format: 03001234567 or +923001234567
Save your registration — bank transfer details will be sent to your email. Registration fee is non-refundable.
For any query: 03219957694
Programme Fee Structure
Registration Closes
10th July 2026
Full Fee Due By
10th July 2026
Internal Students & Staff
Total Fee PKR 100,000
Registration Fee PKR 20,000
Remaining Fee PKR 80,000
Due by 10th July 2026
External Participants
Total Fee PKR 150,000
Registration Fee PKR 30,000
Remaining Fee PKR 120,000
Due by 10th July 2026
Registration fee secures your seat. Remaining fee due before 10th July 2026.
Bank Transfer Details
Bank Bank Alfalah · Bhara Kahu
Account Title GAK Health Care Intl. (IMDC)
IBAN PK62ALFH0207001008952880
Account No 0207-1008952880
After payment, send screenshot to: 📱 WhatsApp: 0315-5008805   |   📧 ai@imdcollege.edu.pk
Your seat will be confirmed once payment screenshot is received and verified by our team.
Our Videos
Watch & Learn
Clinical AI Healthcare Certificate by Dr. Usman Hadi (UK) | IMDC
Medicine is Evolving. Are You Ready?
No Coding? No Problem. Learn Medical AI This August