Generative AI and Prompt Engineering in Healthcare Training Course

This instructor-led, live training in Norway (online or on-site) is designed for healthcare professionals and AI developers at the intermediate to advanced levels who aim 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.
• 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.

This instructor-led, real-time training in Norway (online or in-person) is designed for intermediate-level healthcare professionals who wish to implement AI and AR/VR solutions for medical education, surgical simulations, and rehabilitation.

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

• Understand how AI enhances AR/VR experiences in healthcare.
• Use AR/VR for surgery simulations and medical training.
• Apply AR/VR tools in patient rehabilitation and therapy.
• Explore the ethical and privacy concerns in AI-enhanced medical tools.

This instructor-led, live training in Norway (online or onsite) is aimed at intermediate-level data scientists and healthcare professionals who wish to leverage AI 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.
• Use AI for predictive modeling in healthcare data.
• Analyze medical images with AI-driven techniques.
• Explore ethical considerations in AI-based healthcare solutions.

This instructor-led, live training in Norway (online or onsite) is designed for 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 Norway (online or onsite) targets healthcare professionals and researchers eager 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 specific applications in healthcare.
• Deploy ChatGPT to automate healthcare processes and patient interactions.
• Deliver precise medical information and support to patients via ChatGPT.
• Apply ChatGPT for medical research and analytical tasks.

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

This instructor-led, live training in Norway (online or onsite) is designed for intermediate to advanced medical AI developers and data scientists who aim to fine-tune 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 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 Norway (online or onsite) is designed for beginner to intermediate-level healthcare professionals, data analysts, and policymakers who wish to understand and apply generative AI within the healthcare context.

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

• Articulate the core principles and applications of generative AI in healthcare.
• Identify opportunities for generative AI to improve drug discovery and personalized medicine.
• Apply generative AI techniques to medical imaging and diagnostics.
• Evaluate the ethical implications of AI in medical environments.
• Formulate strategies for integrating AI technologies into healthcare systems.

This instructor-led, live training in Norway (online or onsite) is designed for healthcare professionals, medical researchers, and AI developers at intermediate to advanced levels who want to apply multimodal AI in medical diagnostics and healthcare applications.

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

• Grasp 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 Norway equips healthcare practitioners and IT teams with the skills to deploy Ollama for local LLMs. Participants will learn to integrate AI into clinical workflows, tailor models for specialized tasks, and uphold rigorous data privacy standards and regulatory compliance within secure healthcare settings.

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

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

• Grasp the core principles of prompt engineering within the healthcare context.
• Utilize AI prompts to facilitate clinical documentation and patient interactions.
• Leverage AI for conducting medical research and literature reviews.
• Improve drug discovery and clinical decision-making through AI-driven prompts.
• Maintain compliance with regulatory and ethical standards governing healthcare AI.

This live, instructor-led course in Norway focuses on deploying TinyML solutions for health monitoring and diagnostics. Learners will acquire the skills to design models for real-time physiological data, optimize them for low-power wearables, and guarantee clinical dependability. The curriculum includes practical lab exercises.