AIHAI+ HealthcareFoundations of Artificial Intelligence in Healthcare
Course Overview
AI+ Healthcare: Foundations of Artificial Intelligence in Healthcare is a five-day programme with content aligned to the AI CERTs AI+ Healthcare Fundamentals™ certification blueprint, designed for clinicians, healthcare managers, allied-health and administrative professionals, and healthcare students.
Over five days, it builds capability across AI & Data Foundations in Healthcare; AI in D
Key Takeaways
In today’s rapidly evolving world, AI and Blockchain technologies are transforming industries, but the skills gap is widening. Millions struggle to find accessible, real-world certification programs that truly prepare them for the future of work. The challenge is clear: How do we upskill global talent with relevant, practical knowledge that keeps pace with innovation? At AI CERTs®, we saw this urgent need and decided to act.
The Spark: Why AI CERTs® Was Born
We believe talent is everywhere, but opportunity is not. Our founders witnessed a common barrier: future-ready education in AI and Blockchain was often locked behind complicated, expensive, or outdated courses. That’s why AI CERTs® was created to offer role-based trusted artificial intelligence certificate programs and blockchain certifications that are accessible to every learner, no matter if they have a tech background or not.
Course Outline
→ What AI and machine learning are — and are not
→ The AI-in-healthcare landscape and value drivers
→ Healthcare data types: EHR, imaging, genomic, and real-world data
→ Structured versus unstructured data and
data literacy
→ No-code AI tools for healthcare professionals
→ An introduction to predictive modelling in
healthcare
→ Hands-On Lab: Participants build a simple
predictive model and interpret its outputs on
a healthcare dataset.
→ AI in medical imaging and radiology
→ Clinical decision support systems
→ Risk prediction and early-warning models
→ An introduction to precision and personalised medicine
→ NLP for clinical notes and documentation
→ Clinical AI case studies and lessons learned
→ Hands-On Lab: Participants evaluate an
AI clinical-support scenario and assess its
strengths and risks.
→ Workflow automation and RPA in healthcare
→ Patient flow and demand forecasting
→ Scheduling and resource optimisation
→ Revenue cycle and billing applications
→ Virtual assistants and patient engagement
→ Operational dashboards and KPIs
→ Hands-On Lab: Participants map an operational AI use case and outline its expected benefits.
→ Healthcare data governance and interoperability
→ Algorithmic bias, fairness, and equity
→ HIPAA, GDPR, and patient data privacy
→ AI governance, risk, and accountability
→ Safety, validation, and human oversight
→ Principles of responsible AI in healthcare
→ Hands-On Lab: Participants complete a responsible-AI assessment for a healthcare use case.
→ Defining the AI use case and business case
→ Evaluating AI tools, vendors, and ROI
→ Designing and running pilots
→ Change management and clinical adoption
→ Emerging trends: generative AI, agents, and ambient AI
→ The future of AI across the healthcare system
→ Hands-On Lab: Participants build an AI opportunity assessment and implementation roadmap.
→ Capstone project: applying the full five -day toolkit to a realistic AI in healthcare scenario
→ Structured peer and facilitator review of each capstone deliverable
→ Post-programme competency assessment
against the learning outcomes
→ Personal action plan for applying the learning in the workplace
→ Programme wrap-up, key takeaways, and
continued-development guidance
→ Capstone Presentation: Participants present their AI in Healthcare Roadmap Capstone and receive structured feedback before certification.
Who Should Attend?
→ Hospital Administrators & Healthcare Operations Managers
→ Clinical Directors & Department Heads exploring AI adoption
→ Healthcare IT & Digital Transformation Officers
→ Medical Doctors & Specialists seeking AI literacy
→ Nursing Leaders & Senior Clinical Staff
→ Pharmaceutical & Medical Device Professionals
→ Health Policy & Regulatory Affairs Officers
→ Public Health & Ministry of Health Officials
→ Healthcare Consultants & Advisors
→ Any healthcare professional seeking foundational AI CERTs certification in the medical and clinical AI space
FAQ
Reviews
- Review:Certified Professional in Quality and Patient SafetyWe have been working with LEORON for the past two years and will be working with them again this upcoming year. The programs they delivered were fruitful and exciting and our organization has received positive feedback from the participants. What our organization aims to do is to provide at no cost training for all the private sector employees so that they may benefit from our offered programs in Innovation and Professional development. Leoron has helped us achieve this goal. We look forward to continuing this service and wish them the best of luck. Regards,Nasser M. Al-Subaie
- Review:Certified Professional in Quality and Patient SafetySince the partnership was signed between BAE Systems Saudi Development & Training and LEORON in 2017, we have been working together to offer the Saudi market a complete portfolio of training solutions benefiting from the wide and extensive experience of both parties. Recognizing the great success of this partnership, we are looking for further collaborations in the future that will position both companies as one of the leading training providers in Saudi Arabia. We thank the LEORON team for their full cooperation and continuing support, and look forward to further success together in the years to come.Emad Alrajih
- Review:Certified Professional in Quality and Patient SafetyDating back to 2014, Mobily’s “LEORON” experience has grown from a single collaboration to a long-term partnership. We consider “LEORON” Institute as a strategic partner, whose contribution has been nothing but premium in equipping our staff with field-based knowledge and information. Past three years have resulted with an expanded collaboration with superior customer service and support. Best Regards,Turki S. Alsahaan
- Review:IAMM Internal Audit Maturity ModelIn recognition of their dedication and contribution supporting IKEA Saudi Arabia in arranging training programs during 2017 & 2018, looking forward for more development and exciting effort this year. On behalf of IKEA Saudi Arabia, THANK YOU!Dalal Kutbi
