AI in Healthcare Certification

The practical AI certification for physicians, clinical leaders, and healthcare executives who want to use AI tools effectively — at the bedside and in the boardroom.

$499$1,800
Save 72% · Founding cohortOnly for the first 1,000 — going fast.
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Institutions using GCLS+ to upskill their teams

Building practical AI capability across healthcare.

Graduate story

From clinical apprehension to responsible application

The future is not about replacing clinical expertise with AI, but about learning how to augment it intelligently, safely, responsibly and with verification.

Dr Irfaan Daureeawoo

Geriatric Medicine ConsultantGCLS AI in Healthcare graduate

Program Overview

Build the Judgment to Use, Govern, and Lead Clinical AI

GCLS+ is a clinician-first, non-degree professional education program for physicians, clinical teams, practice leaders, and healthcare executives who are already being asked to make AI decisions. Across 11 modules, hands-on practice, and a capstone, you learn to evaluate tools, redesign workflows, govern risk, and lead adoption.

You will work through clinical and operational decisions — not abstract technology alone — then turn one problem from your own organization into a practical implementation dossier. The goal is clearer judgment, safer execution, and evidence your leadership team can act on.

Learners who complete the required coursework and capstone earn the GCLS+ Certificate in AI in Healthcare. The program does not grant academic credit, professional licensure, or a regulated clinical specialty credential.

81%

of physicians surveyed use AI professionally

AMA Physician AI Survey, 2026

92%

want more education and training on AI

AMA Physician AI Survey, 2026

88%

say safety and efficacy validation matters for adoption

AMA Physician AI Survey, 2026

Explore the program

A clear view of fit, progression, and outcomes

See who the certification is for, how the learning progresses, and what you leave ready to do.

Who This Certification Is Built For

GCLS+ was designed for healthcare professionals who are being asked to make AI decisions — whether or not they feel ready to. If any of these sound like you, the program was built with your week in mind:

  • Practicing physicians and clinical teamswho want AI to take work off their plate — documentation, inbox triage, research summaries, patient communication — without compromising clinical judgment or patient safety

  • Practice owners and operations leaderswho need to automate workflows, protect margins, and modernize how their clinic runs day to day — and want a clear-eyed view of what AI can and cannot deliver

  • Health-system executives and strategy teamswho must decide which AI initiatives to fund, govern, and scale — and defend those decisions to boards, regulators, and their own clinicians

  • Digital health founders and product builderswho want to design and ship agentic, workflow-native AI products that solve problems clinicians and operators actually have

  • Advisors, payers, and policy professionalswho evaluate AI claims on behalf of organizations and shape the standards, coverage decisions, and rules their markets will follow

Built for how healthcare professionals actually learn

Skills you'll use Monday morning

Every module is designed around tasks physicians and clinic leaders actually do. Use AI to draft patient communications, summarize research, automate follow-ups, optimize scheduling, and analyze practice financials — tools that save hours every week, starting immediately.

Clinical workflows Practice management Revenue & operations
What You'll Build

Clinical AI Workflows

AI-assisted documentation, differential support, patient communication

Practice Analytics

Financial dashboards, staffing models, revenue cycle optimization

Smart Scheduling

AI-powered appointment optimization, no-show prediction, capacity planning

Compliant AI Use

HIPAA-safe prompting, PHI handling, audit-ready documentation

Curriculum at a Glance

11 modules and a capstone across four pillars, with lectures, practice and assessment.

Pre-WorkAll Pillars

AI Essentials

Key AI terms, data sensitivity basics, and account setup — optional prep to enter Module 1 confident and ready.

4h
Module 1All Pillars

The AI-Native Mindset

AI-as-teammate, cognitive load management, the 10x test, and workflow mapping to identify high-impact AI opportunities.

9h
Module 2Technology

AI Fluency Foundations

How LLMs work, the tool landscape, Gemini ecosystem, NotebookLM, Manus AI, and token economics.

12h
Module 3Regulatory

AI in Healthcare Today

Regulatory landscape by jurisdiction, SaMD classification, data protection frameworks, and ethical considerations.

8h
Module 4TechnologyMedical

Prompt Engineering

Clinical prompt patterns, chain-of-thought reasoning, template libraries, and prompt security for healthcare workflows.

9h
Module 5Medical

Your Cognitive Blueprint

Self-assessment, decision-making mapping, and agent personality design to build your personal AI interaction style.

7h
Module 6Business

AI-Powered Workflows

Workflow mapping, documentation automation, RCM and billing optimization, and organizational change management.

8h
Module 7TechnologyBusiness

Agentic AI Building

Vibe-coding with Replit Agent and Claude Code, MCP servers, automation platforms, build-vs-buy decision frameworks, agentic workflow costs, token cost optimization, and understanding AI ROI.

10h
Module 8TechnologyBusiness

AI-Native Systems Design

Multi-agent patterns, orchestration, system architecture, and EHR integration for production-grade AI systems.

9h
Module 9MedicalRegulatory

CDS & Validation

Validating clinical AI in practice: how to check for bias, maintain human oversight, catch errors before they reach patients, and report adverse events.

8h
Module 10Medical

AI in Longevity Medicine

Multi-omics, digital twins, biological age assessment, in-silico trials, and precision prevention strategies.

8h
CapstoneAll Pillars

Capstone Project

Build, deploy, and implement a real AI-powered healthcare tool demonstrating mastery across all pillars.

~12h ProjectCertificate Req.

More than a course.A learning system.

Built with Perceptors AI

The agentic LMS behind GCLS+

Perceptors.ai brings approved healthcare expertise into one learning experience—connecting the curriculum, assessments, an AI tutor, media and local adaptation so teams can learn and apply what matters.

Evidence-led

Learning starts with approved sources and a path back to the supporting evidence.

Faculty-guided

AI assists with preparation; experts remain responsible for review and approval.

Locally adaptable

Designed for differences in language, terminology and regulation.

Explore perceptors.ai

The agent harness

Eight connected roles

A coordinated framework spanning the learning lifecycle—from source material to learner outcomes.

  • Evidence
  • Curriculum
  • Assessment
  • Tutor
  • Media
  • Quality
  • Outcomes
  • Localization

Clinical AI Studio: work through a case

Use a fictional source packet to frame a bounded AI task, inspect draft claims, and plan human review. The exercises are ungraded and your brief can be saved or exported.

Fictional cases Source checks Human review
Source review example

Draft claim

The tool will automatically assign all 18 messages.

Source check

The fictional operating rule requires a team member to approve every assignment. Revise the draft before proposing a pilot.

A Comprehensive Framework

Every module maps to one or more core pillars — from clinical application to executive strategy — ensuring well-rounded competency across the full spectrum of AI in healthcare.

Technology

Understand how AI systems work — LLMs, prompt engineering, agentic AI, MCP servers, and systems architecture.

Hands-on building Real AI models Production patterns
Technology Pillar
LLM Architecture
Prompt Engineering
Agentic AI Building
Systems Design
Medical lecture hall presentation
Physician analyzing medical scan with AI

Built by Clinicians & Executives, for Clinicians & Executives

This isn't a tech course repackaged for healthcare. The curriculum is designed by physicians, AI researchers, and healthcare leaders who understand that you don't need to build neural networks — you need to use AI tools practically in clinical care, implement them across your organization, and make strategic decisions about AI adoption.

  • Peer-reviewed, evidence-based curriculum
  • Hands-on labs — no coding experience needed
  • Clinical, operational, and strategic AI tracks
  • Self-paced with weekly live support

Investors & strategic partners

Capital and compute for evidence-grade clinical AI education

GCLS+ is being built with partners who understand that healthcare AI education needs clinical rigor, implementation judgment, and infrastructure that can scale across regions.

KBW Ventures

KBW Ventures portfolio connection

GCLS+ and Hormonaly in the KBW Ventures ecosystem

GCLS+ is connected to the KBW Ventures portfolio through Hormonaly, a KBW Ventures portfolio company. KBW Ventures is the global investment firm founded by Prince Khaled bin Alwaleed bin Talal.

Hormonaly brings the formal KBW Ventures partnership, while GCLS+ brings the education, builder, and implementation layer. Together, the work is focused on scaling practical AI in healthcare education across the MENA region and beyond.

Healthcare AI educationClinical implementationMENA region & beyondAgentic learning systems
NVIDIA Inception Program

NVIDIA Inception Member

NVIDIA compute for the next layer of clinical AI learning

The technical roadmap behind GCLS+ has received NVIDIA Inception and NVIDIA Innovation Lab support. The work focuses on faster evidence retrieval, safer evaluation workflows, and domain-specific AI systems for clinical education.

Shipping now

  • Evidence retrieval and reranking for course, tutor, and capstone support
  • Jurisdiction-aware coaching and assessment workflows for healthcare AI decisions

In development

  • Domain-adapted orchestration for lower-latency learner support
  • Safety, evaluation, and guardrail models for regulated clinical education

Practical healthcare AI training at founding cohort pricing

Comparable AI and healthcare programs often charge around $2,000. GCLS+ is opening the first 1,000 learner seats at $499.

100+Hours
~$5Per hour
~$20Per hour elsewhere
GCLS+ founding cohort$499
Comparable courses$2,000+
Best Value

Initial Cohort Tuition

$499$1,800
First 1,000 Seats72% off regular tuition

$499 for the first 1,000 learners

Price pathSeat-based
1

First 1,000 seats

$499

Founding cohort tuition

2

Seat 1,001+

$1,800

Standard tuition

100+ hours across 11 modules + capstone
$2,000+ comparable course benchmark
Personal AI Tutor & Coach Analysis
Hands-On Practice with Real AI Models
Locally Adapted Content Library
Weekly Live Webinars & Recordings
Official GCLS+ Certificate
Ongoing Course Content Updates
Enroll Now

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About GCLS+

Guided by clinical, academic, and AI implementation leaders

The GCLS certification is led by physicians, longevity educators, and hands-on AI builders who work across clinical care, medical education, and healthcare implementation.

Dr. Omar Saleem

Dr. Omar Saleem

Course Director & Co-Founder

MD

Focus

  • Board-certified internal medicine physician
  • Precision medicine physician and founder of Zinda.health
  • AI builder focused on clinician-first healthcare workflows

Background

  • 150+ AI-powered clinical apps built
  • Built Zinda.health tools from the ground up
Dominik Thor, MSc

Dominik Thor, MSc

President & Co-Founder

MSc, Professor of Pharmacy

Focus

  • President, Geneva College of Longevity Science
  • Professor of Pharmacy
  • Strategic advisor in clinical AI education

Background

  • Academic leadership in longevity and precision medicine
  • Bridges traditional and modern healthcare education
Dr. Fady Hannah-Shmouni

Dr. Fady Hannah-Shmouni

Director & Co-Founder

MD FRCPC

Focus

  • Professor, UBC Department of Medicine
  • Director of AI Department at GCLS
  • Founder & CEO, Hormonaly.ai

Background

  • 100+ peer-reviewed publications
  • 1,000+ healthcare providers trained

Questions before you enroll?

Send a course, group enrollment, partnership, or technical question directly to the GCLS team.

Use this for individual enrollment questions, institutional cohorts, hospital teams, and implementation partnerships.
support@gcls.ai

Ready to Lead AI Adoption in Healthcare?

Whether you're applying AI at the bedside, implementing it across your practice, or shaping AI strategy for your organization — start your certification today.

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