AI and AR/VR in Healthcare Training Course

This instructor-led, live training in Slovakia (online or onsite) is designed for healthcare professionals and AI developers at intermediate to advanced levels who want to implement AI-driven healthcare solutions.

Upon completion of this training, participants will be able to:

• Grasp the role of AI agents in healthcare and diagnostics.
• Create 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.

This instructor-led live training in Slovakia (online or onsite) is aimed at beginner-level professionals who wish to learn how to apply AI techniques to AR and VR systems.

By the end of this training, participants will be able to:

• Grasp the fundamentals of AI and its role in AR and VR technologies.
• Explore key AI-driven techniques for enhancing AR and VR experiences.
• Implement simple AI models within AR and VR applications.
• Utilize AI to improve interactivity and user experiences in AR and VR.

This instructor-led live training in Slovakia (accessible online or onsite) is designed for intermediate data scientists and healthcare professionals seeking to harness AI for advanced medical applications using Google Colab.

Upon completion of this training, participants will be able to:

• Deploy AI models for healthcare applications using Google Colab.
• Utilize AI for predictive modeling in healthcare datasets.
• Perform medical image analysis using AI-driven techniques.
• Investigate ethical considerations in AI-based healthcare solutions.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level healthcare professionals and data scientists who wish to understand and apply AI technologies in healthcare environments.

By the end of this training, participants will be able to:

• Identify key healthcare challenges that AI can address.
• Analyze AI’s impact on patient care, safety, and medical research.
• Understand the relationship between AI and healthcare business models.
• Apply fundamental AI concepts to healthcare scenarios.
• Develop machine learning models for medical data analysis.

This instructor-led, live training in Slovakia (online or onsite) is designed for healthcare professionals and researchers aiming to harness ChatGPT to improve patient care, optimize workflows, and enhance healthcare outcomes.

Upon completion of this training, participants will be able to:

• Grasp the fundamentals of ChatGPT and its applications in healthcare.
• Employ ChatGPT to automate healthcare processes and interactions.
• Deliver accurate medical information and support to patients via ChatGPT.
• Apply ChatGPT for medical research and analysis.

This live, instructor-led training in Slovakia (online or onsite) targets intermediate-level AI developers, biomedical engineers, and healthcare professionals who wish to leverage Edge AI for innovative healthcare solutions.

Upon completing this training, participants will be capable of:

• Grasping the advantages and role of Edge AI in healthcare.
• Creating and deploying AI models on edge devices for healthcare use cases.
• Integrating Edge AI solutions into diagnostic tools and wearable devices.
• Designing and deploying patient monitoring systems powered by Edge AI.
• Navigating regulatory and ethical considerations in healthcare AI applications.

This guided, live training held in Slovakia (online or onsite) targets medical AI developers and data scientists with intermediate to advanced skills who intend to adapt models for clinical diagnosis, disease prediction, and forecasting patient outcomes using structured and unstructured medical data.

By the conclusion of this training, participants will be able to:

• Fine-tune AI models on healthcare datasets including EMRs, imaging, and time-series data.
• Apply transfer learning, domain adaptation, and model compression in medical contexts.
• Address privacy, bias, and regulatory compliance in model development.
• Deploy and monitor fine-tuned models in real-world healthcare environments.

This instructor-led, live training in Slovakia (online or onsite) is designed for healthcare professionals, data analysts, and policymakers at a beginner to intermediate level who wish to understand and apply generative AI within 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.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level to advanced-level healthcare professionals, medical researchers, and AI developers who wish to apply multimodal AI in medical diagnostics and healthcare applications.

By the end of this training, participants will be able to:

• Understand the role of multimodal AI in modern healthcare.
• Integrate structured and unstructured medical data for AI-driven diagnostics.
• Apply AI techniques to analyze medical images and electronic health records.
• Develop predictive models for disease diagnosis and treatment recommendations.
• Implement speech and natural language processing (NLP) for medical transcription and patient interaction.

This live training in Slovakia assists healthcare practitioners and IT teams in deploying Ollama for local LLMs. It covers integrating AI into clinical workflows, adapting models for specific duties, and guaranteeing strict data privacy and regulatory compliance within secure healthcare settings.

This instructor-led, live training in Slovakia (online or onsite) is designed for intermediate-level healthcare professionals and AI developers who want to apply prompt engineering techniques to improve medical workflows, research efficiency, and patient outcomes.

Upon completion of this training, participants will be able to:

• Grasp the fundamentals of prompt engineering within the healthcare context.
• Utilize AI prompts for clinical documentation and patient interactions.
• Leverage AI to support medical research and literature reviews.
• Enhance drug discovery and clinical decision-making through AI-driven prompts.
• Ensure compliance with regulatory and ethical standards in healthcare AI.

This live, instructor-led training in Slovakia focuses on implementing TinyML solutions for healthcare monitoring and diagnostics. Participants will learn to design models for real-time health data processing, optimize them for low-power wearables, and ensure clinical reliability. The course includes hands-on lab exercises.