AI and AR/VR in Healthcare Training Course
Artificial Intelligence (AI) and Augmented Reality/Virtual Reality (AR/VR) technologies are transforming healthcare by providing advanced training tools and enhancing patient outcomes. This course explores the fundamental concepts, applications, and ethical considerations of integrating AI-powered AR/VR in healthcare settings, from medical professional training to patient therapy.
This instructor-led, live training (available online or on-site) is designed for intermediate-level healthcare professionals who aim to implement AI and AR/VR solutions for medical training, surgical simulations, and rehabilitation.
By the end of this training, participants will be able to:
- Understand the role of AI in enhancing AR/VR experiences in healthcare.
- Utilize AR/VR for surgical simulations and medical training.
- Apply AR/VR tools in patient rehabilitation and therapy.
- Examine the ethical and privacy concerns associated with AI-enhanced medical tools.
Format of the Course
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options for Government
- To request a customized training program tailored to the specific needs of your government agency, please contact us to arrange.
Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to AI in AR/VR for Healthcare
- Overview of AI-driven AR/VR in healthcare
- Current trends and real-world applications
- The role of AI in enhancing medical simulations
AI and AR/VR for Medical Training
- Utilization of AR/VR in medical education and professional training
- Virtual environments for surgical simulations
- The role of AI in skill acquisition and assessment
Virtual Surgery Simulations
- Development of realistic surgical environments using AR/VR
- Real-time feedback and simulation enhancements through AI
- Case studies in AR/VR surgical training for government
Rehabilitation through VR
- AI-powered VR therapy for rehabilitation purposes
- Enhancing patient engagement and outcomes through VR
- Challenges in integrating VR into patient therapy for government
Patient Education and Consultation Tools
- AI-enhanced AR/VR for patient consultations for government
- Immersive education to help patients understand medical procedures
- Improving patient engagement and satisfaction through technology
Challenges and Ethical Considerations
- Protecting patient data privacy in AR/VR environments
- Addressing ethical concerns with AI-powered medical simulations
- Ensuring fairness and transparency in AI healthcare tools for government
Future of AI and AR/VR in Healthcare
- Emerging technologies in AR/VR for healthcare applications
- Opportunities and potential future uses
- The impact of AI on patient outcomes and care delivery
Summary and Next Steps
Requirements
- Fundamental understanding of artificial intelligence and machine learning for government applications
- Practical experience with healthcare technologies
- Knowledge of augmented reality and virtual reality tools and environments
Audience
- Healthcare technologists for government agencies
- Medical professionals
- Medical researchers
14 Hours
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
AI and AR/VR in Healthcare Training Course - Booking
AI and AR/VR in Healthcare Training Course - Enquiry
AI and AR/VR in Healthcare - Consultancy Enquiry
Consultancy Enquiry
Upcoming Courses
Related Courses
Agentic AI in Healthcare
14 Hours
Agentic AI is an approach where artificial intelligence systems are designed to plan, reason, and utilize tools to achieve specific goals within established parameters.
This instructor-led, live training (available online or on-site) is targeted at intermediate-level healthcare and data teams who aim to design, evaluate, and govern agentic AI solutions for both clinical and operational applications. The training aligns with the needs of public sector workflows, governance, and accountability for government agencies.
By the end of this training, participants will be able to:
- Explain the principles and constraints of agentic AI in healthcare contexts.
- Design safe agent workflows that incorporate planning, memory, and tool usage.
- Develop retrieval-augmented agents using clinical documents and knowledge bases.
- Evaluate, monitor, and govern agent behavior through the use of guardrails and human-in-the-loop controls.
**Format of the Course**
- Interactive lectures and facilitated discussions.
- Guided labs and code walkthroughs in a secure sandbox environment.
- Scenario-based exercises focused on safety, evaluation, and governance.
**Course Customization Options**
- To request a customized training for government agencies or other organizations, please contact us to arrange.
Read more...
AI Agents for Healthcare and Diagnostics
14 Hours
This instructor-led, live training in [location] (online or onsite) is designed for intermediate to advanced-level healthcare professionals and artificial intelligence developers who aim to implement AI-driven healthcare solutions for government.
By the end of this training, participants will be able to:
- Comprehend the role of AI agents in healthcare and diagnostics.
- Develop AI models for medical image analysis and predictive diagnostics.
- Integrate AI with electronic health records (EHR) and clinical workflows.
- Ensure compliance with healthcare regulations and ethical AI practices.
Read more...
Introduction to AI in AR and VR
14 Hours
This instructor-led, live training (offered online or on-site) is designed for beginner-level professionals who wish to learn how to apply artificial intelligence techniques to augmented reality (AR) and virtual reality (VR) systems.
By the end of this training, participants will be able to:
- Understand the fundamentals of AI and its role in AR/VR technologies.
- Explore key AI-driven methods for enhancing AR/VR experiences.
- Implement basic AI models in AR/VR applications.
- Utilize AI to improve interactivity and user experiences in AR/VR systems for government use.
Read more...
AI for Healthcare using Google Colab
14 Hours
This instructor-led, live training (conducted online or on-site) is designed for intermediate-level data scientists and healthcare professionals who aim to utilize artificial intelligence for advanced healthcare applications using Google Colab.
By the end of this training, participants will be able to:
- Implement AI models for healthcare using Google Colab.
- Apply AI for predictive modeling in healthcare data.
- Analyze medical images with AI-driven techniques.
- Examine ethical considerations in AI-based healthcare solutions for government.
Read more...
AI in Healthcare
21 Hours
This instructor-led, live training (available online or onsite) is designed for intermediate-level healthcare professionals and data scientists who aim to understand and implement artificial intelligence (AI) technologies in healthcare settings.
By the end of this training, participants will be able to:
- Identify key challenges in healthcare that can be addressed through AI.
- Analyze the impact of AI on patient care, safety, and medical research.
- Understand the relationship between AI and healthcare business models.
- Apply fundamental AI concepts to various healthcare scenarios.
- Develop machine learning models for the analysis of medical data, enhancing decision-making processes for government and private sector applications.
Read more...
ChatGPT for Healthcare
14 Hours
This instructor-led, live training in [location] (online or onsite) is designed for healthcare professionals and researchers who wish to leverage ChatGPT to enhance patient care, streamline workflows, and improve healthcare outcomes.
By the end of this training, participants will be able to:
- Understand the fundamentals of ChatGPT and its applications in healthcare.
- Utilize ChatGPT to automate healthcare processes and interactions.
- Provide accurate medical information and support to patients using ChatGPT.
- Apply ChatGPT for medical research and analysis.
This training aligns with public sector workflows, governance, and accountability standards, ensuring that participants are equipped with the necessary skills to implement these technologies effectively for government and healthcare settings.
Read more...
Edge AI for Healthcare
14 Hours
This instructor-led, live training (available online or onsite) is designed for intermediate-level healthcare professionals, biomedical engineers, and artificial intelligence developers who aim to utilize Edge AI for innovative healthcare solutions.
By the end of this training, participants will be able to:
- Understand the role and benefits of Edge AI in healthcare.
- Develop and deploy AI models on edge devices for healthcare applications.
- Implement Edge AI solutions in wearable devices and diagnostic tools.
- Design and deploy patient monitoring systems using Edge AI.
- Address ethical and regulatory considerations in healthcare AI applications, ensuring alignment with public sector workflows, governance, and accountability for government.
Read more...
Fine-Tuning AI for Healthcare: Medical Diagnosis and Predictive Analytics
14 HoursThis instructor-led, live training (online or onsite) is designed for intermediate to advanced medical AI developers and data scientists who aim to refine models for clinical diagnosis, disease prediction, and patient outcome forecasting using structured and unstructured medical data.
By the end of this training, participants will be able to:
- Fine-tune AI models on healthcare datasets, including electronic medical records (EMRs), imaging, and time-series data.
- Apply techniques such as transfer learning, domain adaptation, and model compression in medical contexts.
- Address privacy concerns, bias mitigation, and regulatory compliance in the development of AI models for government and healthcare settings.
- Deploy and monitor fine-tuned models in real-world healthcare environments to ensure effective and ethical use.
Read more...
Generative AI and Prompt Engineering in Healthcare
8 Hours
Generative AI is a technology designed to create new content such as text, images, and recommendations based on user prompts and data.
This instructor-led, live training (available online or onsite) is targeted at beginner to intermediate healthcare professionals who wish to leverage generative AI and prompt engineering to enhance efficiency, accuracy, and communication in medical settings.
By the end of this training, participants will be able to:
- Understand the foundational concepts of generative AI and prompt engineering.
- Utilize AI tools to streamline clinical, administrative, and research tasks.
- Ensure ethical, safe, and compliant use of AI in healthcare environments.
- Optimize prompts to achieve consistent and accurate outcomes.
**Format of the Course**
- Interactive lectures and discussions.
- Practical exercises and case studies.
- Hands-on experimentation with AI tools.
**Course Customization Options for Government**
To request a customized training for this course tailored to specific needs, please contact us to arrange.
Read more...
Generative AI in Healthcare: Transforming Medicine and Patient Care
21 Hours
This instructor-led, live training (available online or onsite) is designed for government and healthcare professionals, data analysts, and policy makers at beginner to intermediate levels. The course aims to provide a comprehensive understanding of generative AI in the context of healthcare.
By the end of this training, participants will be able to:
- Explain the principles and applications of generative AI in healthcare.
- Identify opportunities for generative AI to enhance drug discovery and personalized medicine.
- Utilize generative AI techniques for medical imaging and diagnostics.
- Assess the ethical implications of AI in medical settings.
- Develop strategies for integrating AI technologies into healthcare systems, ensuring alignment with public sector workflows and governance.
Read more...
LangGraph in Healthcare: Workflow Orchestration for Regulated Environments
35 Hours
LangGraph enables stateful, multi-actor workflows powered by LLMs with precise control over execution paths and state persistence. In healthcare, these capabilities are essential for compliance, interoperability, and building decision-support systems that align with medical workflows.
This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges for government and private sector applications.
By the end of this training, participants will be able to:
- Design healthcare-specific LangGraph workflows with compliance and auditability in mind.
- Integrate LangGraph applications with medical ontologies and standards (FHIR, SNOMED CT, ICD).
- Apply best practices for reliability, traceability, and explainability in sensitive environments.
- Deploy, monitor, and validate LangGraph applications in healthcare production settings.
**Format of the Course**
- Interactive lecture and discussion.
- Hands-on exercises with real-world case studies.
- Implementation practice in a live-lab environment.
**Course Customization Options**
- To request a customized training for this course, please contact us to arrange.
Read more...
Multimodal AI for Healthcare
21 Hours
This instructor-led, live training in [location] (online or onsite) is designed for intermediate to advanced healthcare professionals, medical researchers, and AI developers who seek to apply multimodal AI in medical diagnostics and healthcare applications for government.
By the end of this training, participants will be able to:
- Comprehend the role of multimodal AI in modern healthcare.
- Integrate structured and unstructured medical data to enhance AI-driven diagnostics.
- Utilize AI techniques to analyze medical images and electronic health records.
- Construct predictive models for disease diagnosis and treatment recommendations.
- Implement speech and natural language processing (NLP) technologies for medical transcription and patient interaction.
Read more...
Ollama Applications in Healthcare
14 Hours
Ollama is a lightweight platform designed for running large language models locally.
This instructor-led, live training (online or onsite) is aimed at intermediate-level healthcare practitioners and IT teams who wish to deploy, customize, and operationalize Ollama-based AI solutions within clinical and administrative environments.
Upon completing this training, participants will be able to:
- Install and configure Ollama for secure use in healthcare settings.
- Integrate local LLMs into clinical workflows and administrative processes.
- Customize models for healthcare-specific terminology and tasks.
- Apply best practices for privacy, security, and regulatory compliance.
**Format of the Course**
- Interactive lecture and discussion.
- Hands-on demonstrations and guided exercises.
- Practical implementation in a sandboxed healthcare simulation environment.
**Course Customization Options**
- To request a customized training for this course, please contact us to arrange. This option is available for government agencies and private organizations seeking tailored solutions for their specific needs.
Read more...
Prompt Engineering for Healthcare
14 Hours
This instructor-led, live training (online or onsite) is designed for intermediate-level healthcare professionals and AI developers who aim to utilize prompt engineering techniques to enhance medical workflows, research efficiency, and patient outcomes for government and public sector applications.
By the end of this training, participants will be able to:
- Comprehend the foundational principles of prompt engineering in healthcare.
- Apply AI prompts for clinical documentation and patient interactions.
- Utilize AI to support medical research and literature reviews.
- Improve drug discovery and clinical decision-making through AI-driven prompts.
- Adhere to regulatory and ethical standards in healthcare AI for government use.
Read more...
TinyML in Healthcare: AI on Wearable Devices
21 Hours
TinyML is the integration of machine learning into low-power, resource-limited wearable and medical devices for government and public sector applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to implement TinyML solutions for healthcare monitoring and diagnostic applications.
After completing this training, participants will be able to:
- Design and deploy TinyML models for real-time health data processing.
- Collect, preprocess, and interpret biosensor data for AI-driven insights.
- Optimize models for low-power and memory-constrained wearable devices.
- Evaluate the clinical relevance, reliability, and safety of TinyML-driven outputs.
**Format of the Course**
- Lectures supported by live demonstrations and interactive discussion.
- Hands-on practice with wearable device data and TinyML frameworks.
- Implementation exercises in a guided lab environment.
**Course Customization Options**
- For tailored training that aligns with specific healthcare devices or regulatory workflows for government, please contact us to customize the program.
Read more...
