Diploma in AI and Healthcare services
Institute of Space and Applied Technologies
Welcome Message
Welcome to the Training Diploma in AI and Healthcare Services.
Artificial Intelligence is becoming an important part of modern healthcare. It supports hospital management, medical documentation, diagnostic imaging, surgery planning, patient monitoring, pharmacy services, personalized medicine, medical training, and digital health innovation. At the same time, immersive technologies such as the Metaverse, virtual reality, augmented reality, and mixed reality are creating new possibilities for clinical education, remote collaboration, simulation-based learning, and virtual healthcare environments.
This diploma is designed to introduce learners and professionals to the essential concepts and practical applications of AI and Metaverse technologies in healthcare services. It does not require participants to be advanced AI engineers, data scientists, or medical technology specialists. Instead, it provides a structured introduction for motivated learners who want to understand how AI can support healthcare operations, clinical decision-making, patient care, medical training, and future digital health systems.
Through online lectures and interactive metaverse-based workshops, participants will explore AI applications in hospital management, documentation, radiology, pathology, endoscopy, pharmacy, surgery, operative care, post-operative follow-up, digital medical twins, avatar doctors, tele-mentoring, ethics, and human factors.
The program is compact, focused, and practical in orientation. It is suitable for learners who want to take their first academic and professional step into the growing field of AI-supported healthcare services.
Prof. Dr. Mohanad Al-Ansari
Head of the Program
About the Institution
The Autonomous Academy of Higher and Professional Education in Zurich, Switzerland officially established the Institute of Space and Applied Technologies on 01.05.2026. The Institute was created as a forward-looking educational and professional platform dedicated to space studies, applied sciences, emerging technologies, and their practical use in the modern world.
The Autonomous Academy has a strong background in digital and flexible education. It is recognized as one of the pioneering virtual education institutions in Europe, offering virtual learning opportunities since 2013. This long experience in online and distance education gives the Academy a solid foundation to develop modern institutes that respond to the needs of today’s learners, professionals, and international communities.
The Academy is part of VBNN Smart Education Group and the Swiss International University network, which strengthens its international academic environment and connects it with a wider educational ecosystem. Swiss International University has been recognized in international rankings, including being ranked No. 3 worldwide by QRNW among international institutions and No. 22 by QS for Executive Education, reflecting the growing global profile of the network and its commitment to quality, innovation, and international education.
As part of VBNN Smart Education Group, the Academy benefits from an international education environment that supports innovation, digital learning, and career-relevant study pathways. Its programs are designed to combine structured learning with practical application, helping participants develop knowledge, confidence, and skills that can be used in professional, technical, administrative, and service-oriented contexts.
The Institute of Space and Applied Technologies was established to address the increasing importance of space-related knowledge in today’s economy and society. Space technologies are now connected to many fields, including satellite communication, navigation systems, climate monitoring, environmental protection, artificial intelligence, remote sensing, data science, smart cities, logistics, security, and sustainable development. This means that space is no longer only a scientific field for astronauts or large space agencies; it has become an applied sector that influences daily life, business, research, and global innovation.
Through this Institute, the Autonomous Academy aims to provide learners, professionals, and institutions with access to knowledge that links scientific understanding with real-world applications. The Institute supports interdisciplinary learning by connecting space science with applied technology, digital transformation, engineering concepts, data analysis, sustainability, and innovation management.
The Institute also reflects the Academy’s mission to make high-quality virtual education accessible to learners across borders. By combining Swiss educational values, international cooperation, and modern online learning methods, the Institute of Space and Applied Technologies seeks to prepare individuals for future-oriented sectors where technology, science, and practical problem-solving meet.
As part of the Autonomous Academy’s wider vision, the Institute will contribute to professional development, lifelong learning, research awareness, and global knowledge exchange. Its establishment on 01.05.2026 represents a new step in building educational pathways that help learners understand the technologies shaping the future of Earth, space, and society.
The Academy places strong emphasis on quality, learner support, and international accessibility. Through online lectures, guided learning, workshops, seminars, and specialized training opportunities, it seeks to create an educational experience that is flexible, focused, and relevant to today’s changing world.
About the Diploma Program
This diploma is intended for learners and professionals who wish to build introductory and applied knowledge in Artificial Intelligence and Metaverse applications in healthcare services. It is especially suitable for participants with an interest in healthcare management, clinical services, medical technology, hospital administration, digital health, AI systems, medical training, or healthcare innovation.
The program combines online lectures with interactive metaverse workshops to support both conceptual understanding and practical exploration in a guided learning environment.
With a total workload of 37.5 training hours, the program offers a compact yet meaningful learning experience for those seeking an introduction to AI-driven healthcare and immersive digital health applications.
The program aims to:
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Highlight the role of AI in healthcare management, diagnosis, surgery, patient care, and medical training
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Support understanding of AI-assisted workflows in clinical and administrative settings
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Introduce participants to metaverse-based simulations and virtual healthcare environments
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Encourage discussion about ethical, technical, and human factors in AI healthcare applications
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Prepare learners for further study or professional exploration in digital health, healthcare innovation, AI, and medical technology fields
The program is not designed as a full medical, engineering, clinical, or software development qualification. Instead, it provides a structured training foundation for learners who want to understand AI healthcare services and their practical applications.
Duration of Study
12+1 weeks.
The program includes 12 main study weeks plus Week 13 for final review and evaluation.
Language of Instruction
English
Why Choose This Diploma?
The Training Diploma in AI and Healthcare Services is designed for learners who want a focused introduction to one of the most important areas of healthcare transformation. AI is increasingly connected to hospital administration, clinical documentation, diagnostics, patient monitoring, surgery planning, pharmacy services, personalized medicine, and healthcare training.
This diploma offers a practical starting point for participants who wish to understand how AI and immersive digital environments can support healthcare systems and medical service delivery.
Participants may choose this diploma because it offers:
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A focused introduction to AI applications in healthcare services
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A compact study structure over 13 weeks
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A combination of online lectures and interactive metaverse workshops
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Exposure to AI in hospital management, documentation, diagnostics, surgery, pharmacy, and patient care
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Introductory understanding of digital medical twins, avatar doctors, and tele-mentoring
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Awareness of ethical, privacy, bias, and human-factor considerations in AI healthcare
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A suitable foundation for healthcare professionals, IT specialists, medical students, researchers, and innovators
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Practical discussion of future trends in digital health and AI-supported medical services
This program is especially valuable for learners who want to explore the AI healthcare sector before continuing to more advanced technical, academic, clinical, or professional pathways.
Who Is This Diploma For?
This diploma is suitable for learners and professionals who are interested in AI, healthcare services, digital health, and medical innovation.
It may be especially suitable for:
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Healthcare professionals, including doctors, nurses, administrators, and healthcare managers
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Medical students and learners interested in digital health
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IT professionals working in or wishing to enter the healthcare sector
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Researchers interested in AI and Metaverse applications in medicine
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Hospital and clinic staff interested in AI-supported workflows
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Professionals interested in healthcare innovation and transformation
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Learners interested in AI-assisted diagnosis, documentation, and patient care
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Participants interested in virtual medical training and metaverse healthcare environments
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Career changers exploring AI, healthcare technology, and digital health services
The diploma is also suitable for motivated learners from different backgrounds who wish to understand the basic principles and applications of AI in healthcare services.
Admission Requirements
Applicants are generally expected to meet one of the following:
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Completion of secondary school or an equivalent qualification, or
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Relevant professional or technical experience, or
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Demonstrated interest in healthcare, AI, digital health, medical technology, hospital administration, IT, or related fields
Applicants from different educational or professional backgrounds may also be considered on the basis of motivation and relevant experience.
A medical license is not required for admission, as the program is educational and introductory in nature. However, participants from medical, healthcare, technical, or administrative backgrounds may find the program especially relevant.
Required Documents
Applicants may be required to submit the following documents:
• Completed application form
• Copy of passport or national ID
• Recent personal photograph
• Copy of highest educational certificate, if available
• CV or short professional profile
• Short motivation statement
• Proof of payment of the application fee
• Any additional documents requested by the admissions office
Applicants should ensure that all submitted documents are clear, accurate, and valid.
Learning Outcomes
By the end of the program, participants are expected to be able to:
• Understand the basic concepts of Artificial Intelligence in healthcare services
• Describe how AI may support hospital administration, scheduling, patient flow, and clinical documentation
• Identify common AI applications in radiology, pathology, endoscopy, pharmacy, surgery, and patient follow-up
• Explain the basic role of computer vision, Natural Language Processing, predictive analytics, and decision-support tools in healthcare contexts
• Understand how metaverse environments may support medical training, simulation, collaboration, and healthcare education
• Describe the introductory concept of digital medical twins and how virtual patient models may support learning, simulation, and personalized care planning
• Discuss avatar-based consultation, virtual clinics, and tele-mentoring as emerging models of digital healthcare support
• Recognize key ethical, privacy, bias, safety, and human-factor issues connected to AI in healthcare
• Reflect on the responsible use of AI tools in healthcare services without replacing professional medical judgment
• Develop a basic foundation for further study or professional exploration in AI healthcare services, digital health, healthcare innovation, or medical technology
Program Objectives
The main objective of this diploma is to provide participants with introductory and applied knowledge of AI and Metaverse applications in healthcare services.
The program aims to:
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Introduce participants to the basic concepts of AI in healthcare
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Explain how AI can support healthcare administration, documentation, diagnosis, training, and patient care
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Familiarize learners with AI-supported tools in radiology, pathology, endoscopy, pharmacy, surgery, and follow-up care
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Develop awareness of metaverse-based medical training and virtual healthcare simulations
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Introduce the concept of digital medical twins for patient modeling and disease simulation
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Encourage responsible thinking about ethics, privacy, bias, safety, and human-AI collaboration in healthcare
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Support learners in understanding future opportunities in digital health and AI healthcare services
Skills You Will Develop
Participants are expected to develop introductory skills and awareness in several areas related to AI in healthcare services.
These may include:
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Basic understanding of AI applications in healthcare
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Ability to identify AI use cases in hospital management and clinical documentation
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Introductory awareness of AI-assisted diagnostic support tools
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Understanding of AI-supported surgery planning and robotic-assisted surgery concepts
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Awareness of metaverse-based medical training environments
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Understanding of remote patient monitoring and AI-supported follow-up care
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Introductory knowledge of digital medical twins and virtual patient modeling
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Awareness of avatar doctors, virtual clinics, and tele-mentoring
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Basic ability to discuss ethical and human-factor issues in AI healthcare
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Confidence to continue into further study or training in AI, digital health, healthcare innovation, or medical technology
The program helps participants build a foundation for future learning rather than independent clinical, engineering, or software development practice.
Duration and Study Format
• Duration: 13 weeks
• Study Load: 3 hours per week for the first 12 weeks; final week 1.5 hours
• Format: 2 hours online lecture + 1 hour metaverse workshop per week during the main study weeks
• Final Week: 1.5 hours for review, discussion, reflection, and evaluation
• Total Training Volume: 37.5 training hours
Program Structure
The program is delivered over 13 weeks and combines online lectures with interactive metaverse workshops.
The structure may include:
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Weekly online lectures
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Weekly metaverse-based workshops
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Guided reading and learning activities
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Interactive healthcare simulations
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Case-based examples
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Short assignments or reflections
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Group discussion
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Final review and evaluation activity
The total training volume is 37.5 training hours.
The program is structured to help learners move step by step from general AI healthcare concepts to more specialized applications in diagnostics, surgery, patient care, digital medical twins, virtual healthcare delivery, and ethical implementation.
Suggested Weekly Content Plan
Week 1: AI in Hospital Management & Documentation
3 hours
Participants are introduced to AI in healthcare administration, with a focus on operational efficiency, patient flow optimization, scheduling, resource allocation, and Natural Language Processing-based support for clinical documentation.
The metaverse workshop may include a virtual hospital tour where participants observe or interact with AI-supported administrative workflow simulations.
By the end of this week, participants should be able to understand the basic role of AI in healthcare management and explain how AI may support documentation and administrative processes.
Week 2: AI in Radiology & Pathology
3 hours
This week explores AI applications in medical imaging, including computer vision for diagnostic support in radiology and automated tissue analysis in pathology. Participants are introduced to case-based examples related to early disease detection.
The metaverse workshop may include a collaborative diagnostic session where participants use AI-assisted image review tools in a virtual environment to analyze simulated medical scans and pathological slides.
By the end of this week, participants should be able to describe basic AI applications in medical imaging and discuss how AI may support pattern recognition and diagnostic workflows.
Week 3: AI in Endoscopy & Disease Screening
3 hours
This week focuses on real-time AI integration during endoscopic procedures, including AI-supported detection of abnormalities and AI-driven population-level disease screening strategies.
The metaverse workshop may include a virtual endoscopy simulation where participants observe or perform a simulated procedure with AI guidance for lesion detection and characterization.
By the end of this week, participants should be able to identify how AI may improve precision in endoscopic procedures and explain the basic role of AI in large-scale disease screening.
Week 4: AI in Pharmacy & Personalized Medicine
3 hours
Participants are introduced to AI in pharmaceutical operations, including automated drug dispensing, intelligent drug interaction monitoring, dosage support, and the use of genomic AI concepts in personalized medicine.
The metaverse workshop may include a virtual pharmacy simulation where participants explore AI-driven drug safety checks, dosage optimization, and personalized medication recommendations based on simulated patient data.
By the end of this week, participants should be able to describe introductory AI applications in pharmacy management and explain how AI may support personalized treatment planning.
Week 5: AI in Surgery: Planning & Robotics
3 hours
This week provides an introductory look at AI-assisted surgical planning, predictive modeling for surgical outcomes, and robotic-assisted surgery systems for improved precision and minimally invasive procedures.
The metaverse workshop may include a 3D surgical planning exercise where participants use AI-supported tools in a collaborative virtual space to plan a simulated surgical procedure.
By the end of this week, participants should be able to explain how AI may support pre-operative planning, risk assessment, and robotic-assisted surgery concepts.
Week 6: Metaverse Surgery & Medical Training
3 hours
Participants are introduced to the surgical metaverse as a tool for immersive education, skill development, and peri-operative decision-making. The week focuses on VR, AR, and MR technologies in medical training.
The metaverse workshop may include a virtual surgical simulation in a realistic VR environment, with guided feedback and structured learning activities.
By the end of this week, participants should be able to describe how metaverse platforms may support medical training and explain the educational value of virtual simulation.
Week 7: AI in Pre-operative & Operative Care
3 hours
This week examines AI-driven triage systems, patient risk assessment models, and real-time intra-operative monitoring for vital signs and surgical progress.
The metaverse workshop may include a virtual pre-operative assessment activity where participants use AI-assisted tools to profile patient risk factors and optimize pre-surgical preparations in a simulated environment.
By the end of this week, participants should be able to explain how AI may support patient triage, pre-operative risk assessment, and intra-operative monitoring.
Week 8: AI in Post-operative Care & Follow-up
3 hours
Participants explore AI-powered remote patient monitoring, predictive analytics for recovery pathways, and AI chatbots for patient support and follow-up care.
The metaverse workshop may include a post-operative monitoring simulation where participants manage the recovery of virtual patients using AI-driven monitoring tools and interpret predictive analytics.
By the end of this week, participants should be able to describe AI-supported approaches to post-operative care and explain how AI may assist remote patient follow-up.
Week 9: Digital Medical Twins I: Patient Modeling
3 hours
This week introduces the concept of digital medical twins, which are virtual patient representations created from real-world or simulated data for personalized treatment simulation and disease progression modeling.
The metaverse workshop may include an interactive session where participants engage in building a digital twin from a simulated set of patient data, with attention to data integration and model creation.
By the end of this week, participants should be able to explain the basic idea of digital medical twins and describe how patient data may be used to create virtual patient models.
Week 10: Digital Medical Twins II: Disease Simulation
3 hours
Participants explore further applications of digital medical twins, including disease progression simulation, treatment response prediction, and personalized intervention planning.
The metaverse workshop may include a treatment outcome simulation where participants use a virtual patient twin to test different therapeutic strategies and observe predicted effects on disease progression.
By the end of this week, participants should be able to discuss how digital medical twins may support disease simulation and personalized treatment exploration.
Week 11: Avatar Doctors & Tele-mentoring
3 hours
This week introduces avatar doctors, remote consultations, virtual clinics, and tele-mentoring for expert guidance in complex healthcare or medical training scenarios.
The metaverse workshop may include a tele-mentoring session where participants guide a virtual medical procedure or consultation through an avatar-based environment.
By the end of this week, participants should be able to describe avatar-based healthcare support and explain how tele-mentoring may assist remote medical guidance and collaboration.
Week 12: Ethics, Human Factors & Final Project
3 hours
This week focuses on ethical considerations in AI healthcare, including data privacy, algorithmic bias, safety, accountability, transparency, and the importance of human-AI collaboration. Participants may also prepare or present a final project related to AI and Metaverse healthcare solutions.
The metaverse workshop may include a virtual conference-style setting where participants present their AI and Metaverse healthcare projects.
By the end of this week, participants should be able to identify key ethical challenges in AI healthcare and explain why human oversight, responsible design, and patient-centered thinking are essential.
Week 13: Final Review and Evaluation
1.5 hours
The final week includes review, discussion, reflection, and final assessment or evaluation activity.
Participants may review the main concepts covered during the program, discuss key learning points, reflect on the practical use of AI in healthcare services, and complete a final evaluation activity.
By the end of this week, participants should be able to summarize the main AI healthcare applications studied in the program and reflect on how the knowledge may support further learning or professional development.
Teaching and Learning Method
The diploma uses a combination of online lectures, metaverse workshops, guided discussion, and independent learning. The teaching approach is designed to support learners who are new to AI healthcare applications while still giving them exposure to practical and emerging digital health concepts.
Learning methods may include:
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Online lectures
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Metaverse workshops
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Virtual healthcare simulations
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Technical presentations
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Guided reading materials
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Case-based examples
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Short assignments
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Reflective learning tasks
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Group discussion
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Final review, project, or evaluation activity
The program encourages active participation. Learners are expected to attend sessions, ask questions, take notes, join discussions, and complete required tasks.
The metaverse workshop format allows participants to explore AI healthcare concepts in a simulated digital environment, clarify technical and ethical questions, and connect theory to practical healthcare scenarios.
Student Support
Participants may receive academic and administrative support during the program.
Support may include:
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Orientation before the start of the course
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Access to online learning materials
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Guidance from trainers or lecturers
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Workshop-based academic discussion
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Assignment instructions and feedback
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Administrative support for registration and documents
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Technical support for online access, where available
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General guidance regarding learning activities and final evaluation preparation
Students are encouraged to communicate with the program team if they need clarification, guidance, or support during their studies.
Code of Conduct
All participants are expected to behave professionally and respectfully.
Participants should:
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Respect trainers, staff, and other learners
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Communicate politely during online and metaverse sessions
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Avoid disruptive behavior
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Respect different educational, professional, and cultural backgrounds
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Follow academic honesty rules
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Use online and virtual platforms responsibly
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Keep shared materials confidential where required
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Respect privacy and ethical principles in simulated healthcare activities
Professional behavior is especially important in healthcare and technology fields, where responsibility, accuracy, confidentiality, teamwork, and communication are essential.
Academic Integrity
Participants must submit their own work and must not copy from other learners, websites, books, artificial intelligence tools, or other sources without proper acknowledgement.
Academic misconduct may include:
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Plagiarism
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Submitting copied work
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Using another person’s work as your own
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Fabricating information
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Misusing artificial intelligence tools
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Providing false documents
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Cheating in assessments
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Misrepresenting clinical, technical, or professional experience
Academic integrity supports trust, fairness, and professional development.
Assessment
Assessment may include participation, workshop contribution, short assignments, reflective tasks, case discussions, final project presentation, or a final evaluation activity, depending on the delivery arrangement.
The final stage of the program may include review, discussion, reflection, and a final assessment or evaluation activity.
Certificate / Diploma Awarded
Participants who successfully complete the program requirements may receive a:
Training Diploma in AI and Healthcare Services
Tuition Fees
The following mandatory fees apply:
Application Fee: EUR 300
Course Fee: EUR 4,000
AQC 12%: EUR 480
Exam administration fee: EUR 110
E-Certificate Fee: EUR 100
Total estimated fee: EUR 4,990
Online payment: Additional 4%
Optional Services and Training
Optional services and training may be available for an additional fee, including:
• Printed certificate, available upon request for additional fee
• Legalization services, available upon request for additional fee
• Courier delivery, where available
• Additional document services
• Specialized simulation or practical training opportunities, subject to availability
• Extra academic or administrative services
• Individual evaluation or sessions
Optional services are not included in the standard mandatory fee package unless specifically stated in writing.
Career Opportunities
This diploma may support participants who wish to explore future opportunities in healthcare technology, digital health, AI-supported healthcare services, hospital administration, medical innovation, clinical workflow improvement, or related fields.
Because the program introduces learners to AI applications in healthcare services, it may help participants strengthen their profile and increase their chances of being considered for related entry-level, support, administrative, digital health, or healthcare technology opportunities when compared with applicants who do not have relevant training in AI healthcare services.
Possible areas of interest after completion may include:
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Digital health support
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AI healthcare project assistance
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Hospital workflow and documentation support
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Healthcare administration innovation
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Medical technology coordination
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AI-assisted patient monitoring awareness
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Healthcare data and AI awareness roles
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Medical training simulation support
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Pharmacy and personalized medicine technology awareness
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Telehealth and virtual healthcare service support
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Further study in AI, healthcare management, medical technology, health informatics, or digital health
This diploma does not guarantee employment, clinical authorization, professional licensing, or independent medical practice. However, it may help learners build introductory knowledge, demonstrate interest in the field, and support further learning or professional exploration in AI healthcare services, digital health, and medical technology.
Attendance Requirements
Participants are expected to attend and participate in the scheduled online lectures and metaverse workshop sessions.
A minimum attendance of 80% applies. Participants who miss several sessions may be asked to complete additional work for an additional fee or may not be eligible for final certification.
Attendance is important because the program is compact and each week covers essential content.
Important Notes About Optional Services
Optional services are not included in the standard mandatory fee package unless specifically stated in writing.
Optional services may include:
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Printed certificate
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Courier delivery
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Legalization services
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Additional document services
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Specialized simulation or practical training opportunities
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Extra academic or administrative services
Fees for optional services may vary depending on the request, country, timeline, and external service requirements.
Frequently Asked Questions
Is this diploma suitable for beginners?
Yes. The diploma is designed as an introductory and applied training program. It is suitable for motivated learners who want to understand the basics of AI and Metaverse applications in healthcare services.
Do I need a medical background?
A medical background is helpful but not always required. The program may also be suitable for IT professionals, administrators, researchers, innovators, and motivated learners interested in digital health and AI healthcare applications.
Do I need an AI or programming background?
No advanced AI or programming background is required. The diploma introduces AI concepts in a healthcare context and focuses on understanding applications, workflows, opportunities, and responsible use.
How long is the program?
The program lasts 13 weeks, including 12 main study weeks and one final review and evaluation week.
How many hours should I study each week?
Participants should expect around 3-4 hours per week during the main study weeks, including lectures, workshops, and independent learning. The final week includes 1.5 hours for review and evaluation.
What is the total training volume?
The total training volume is 37.5 training hours.
What is the study format?
The format includes 2 hours of online lecture and 1 hour of metaverse workshop per week during the main study weeks. Week 13 includes final review, discussion, reflection, and evaluation.
Will I receive a diploma?
Participants who successfully complete the program requirements may receive the
Training Diploma in AI and Healthcare Services.
Is there an exam?
Assessment may include participation, workshop contribution, short assignments, reflective tasks, case discussions, final project presentation, or final evaluation activity.
Are the metaverse workshops required?
Yes, the metaverse workshops are part of the learning structure. They help participants connect theory with interactive digital healthcare simulations.
Does this diploma allow me to practice medicine?
No. This diploma does not provide a medical license, clinical authorization, or permission to practice medicine. It is an educational training program focused on AI and digital healthcare concepts.
Can international students apply?
Yes. International applicants may apply if they meet the admission requirements and can participate in the online and metaverse-based format.
Does this diploma improve my chance to get a job?
This diploma may help participants strengthen their profile and increase their chances of being considered for related entry-level, support, administrative, digital health, or healthcare technology opportunities when compared with applicants who do not have relevant training in AI healthcare services. The diploma is designed to provide introductory knowledge, demonstrate interest in the field, and support further learning or professional exploration in AI healthcare services, digital health, and medical technology.