Train as a Healthcare AI Professional
Healthcare is changing. Are you ready?
Artificial intelligence is transforming every corner of healthcare — from how diagnoses are made to how clinical documents are written. Behind every healthcare AI model is a dataset that was collected, annotated, and evaluated by human experts.
But not just any experts. The global healthcare AI industry needs people who understand clinical data and know how to label it to the standards that regulators and AI developers demand. That combination — clinical knowledge plus AI data skills — is rare, in demand, and well paid.
That is exactly what SCI trains you to do.
The career that didn't exist five years ago
- Healthcare AI is projected to exceed $180 billion globally by 2030.
- Every AI model requires thousands of hours of expert human annotation before it can work.
- Companies pay premium rates for annotators with genuine clinical expertise — not general crowd workers.
- You already have the clinical knowledge. SCI gives you the AI data skills to monetise it.
What's Inside the Bundle
- Fundamentals of AI and machine learning in healthcare
- Data annotation: labeling, classification, segmentation, NER
- Medical image annotation: bounding boxes, polygons, DICOM
- Clinical NLP: ICD-10, SNOMED CT, and LOINC coding
- RLHF evaluation: side-by-side AI response comparison
- Quality assurance: gold-standard benchmarking and IAA
- Data privacy essentials: HIPAA, GDPR, consent management
- SCILabel platform orientation and tasker onboarding
- HIPAA: Privacy Rule, Security Rule, PHI, de-identification methods
- GDPR: lawful processing, data-subject rights, DPAs, cross-border transfers
- EU AI Act 2024: risk tiers, annotation obligations, transparency
- FDA SaMD guidance and WHO AI Ethics Framework
- Kenya Data Protection Act 2019 and African data governance
- Practical exercises: consent forms, breach simulations, audit trails
- RLHF foundations: preference collection, reward modelling, policy optimisation
- Clinical scoring: Accuracy, Relevance, Safety, Clarity, Completeness
- Evaluation interface mastery on the SCILabel platform
- Red-teaming and adversarial safety testing
- Bias and fairness assessment methods
- Clinical benchmarking against practice guidelines
- DICOM file structure, metadata, window/level adjustment
- Radiology: CT, MRI, X-ray, ultrasound — segmentation and lesion detection
- Pathology: whole-slide image annotation and tumour grading
- Ophthalmology: retinal and OCT annotation
- Dental imaging: caries, periodontal, and orthodontic annotation
- Annotation techniques: bounding box, polygon, semantic and instance segmentation
Value Breakdown
| Course | Individual Price | Bundle Price |
|---|---|---|
| 1. Healthcare AI Trainer & Data Annotation Program | KSh 3,000 | KSh 4,500 |
| 2. Health Data Handling & Regulatory Compliance | KSh 1,500 | |
| 3. Clinical AI Evaluation & RLHF Specialist | KSh 1,500 | |
| 4. Medical Image Annotation Specialist | KSh 1,500 | |
| TOTAL | KSh 7,500 | KSh 4,500 +VAT |
|
YOU SAVE KSh 3,000 That's 40% off — less than KSh 38 per day over 4 months of training |
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Who This Is For
⭐ No prior AI or coding experience required
You do not need a background in computer science, programming, or artificial intelligence. Our programme starts from the fundamentals and builds your skills step by step. If you can read a clinical report, you can learn to annotate one.
What Happens After You Complete the Bundle
Once certified, you earn on every task you complete. Rates depend on the track and complexity:
What Our Graduates Say
Frequently Asked Questions
Immediate access to all four courses: the Healthcare AI Trainer & Data Annotation Program, Health Data Handling & Regulatory Compliance, Clinical AI Evaluation & RLHF Specialist Program, and Medical Image Annotation Specialist Program. You also receive four SCI certifications upon completion and activation of your SCILabel Tasker ID to begin earning on paid projects.
The full bundle takes approximately 4–6 months at a pace of 1–2 hours per day. You can start with Course 1 (the flagship, 6–8 weeks) and progress through the other three in any order. All courses are self-paced — study on your own schedule.
No. The programme is designed for healthcare professionals with zero prior AI experience. We start from the fundamentals and build your skills progressively. If you have a clinical or biomedical background, you already have the most important qualification.
A degree, diploma, or certificate in any clinical, biomedical, or health-related field. This includes medicine, nursing, pharmacy, radiography, laboratory science, biotechnology, public health, dentistry, nutrition, physiotherapy, and related disciplines. Final-year students in these fields are also eligible.
Click the Enrol Now button. You will be redirected to PayHero for secure payment. We accept M-Pesa, debit/credit cards, and bank transfers. Once payment is confirmed, the page reloads and you are redirected to your course dashboard with immediate access to all four programmes.
Yes. KSh 4,500 is a single, one-time payment. There are no recurring fees, no hidden charges, and no additional costs for certifications. You receive lifetime access to all course materials.
The courses are offered exclusively as a bundle. The bundle price of KSh 4,500 already represents a 40% saving (KSh 3,000 off the combined individual value of KSh 7,500), and ensures every graduate is fully qualified across all SCILabel tracks.
Upon passing each course's assessment, you receive the corresponding SCI certificate. After completing Course 1, your SCILabel Tasker ID is activated and you can begin receiving paid annotation and evaluation tasks matched to your specialty tracks. Additional courses unlock premium-rate tasks and advanced track access.
Bi-weekly payouts (1st and 15th of each month) via Paystack. You choose your preferred payment method during onboarding: M-Pesa, bank transfer (PESALINK), or debit/credit card.
SCI certifications are issued by Shevs Connect Institute and recognised on the SCILabel platform. They demonstrate competency in healthcare AI data annotation, regulatory compliance, RLHF evaluation, and medical image annotation — skills that are in demand globally. SCILabel operates with clients across multiple countries.
Yes. The SCI Learning Canvas is mobile-responsive. You can study on a smartphone, tablet, or desktop computer. Live evaluation sessions require a stable internet connection and a device with a camera and microphone (for Microsoft Teams).
