Artificial intelligence is transforming the way medical professionals diagnose conditions, administer treatments, and oversee patient well-being. Ranging from advanced medical imaging to customized therapy protocols, it creates novel avenues for innovation while requiring a profound grasp of both technical mechanics and ethical considerations.
These live, instructor-led training programs immerse professionals directly in the practical application of AI within the medical field. By engaging in hands-on exercises and guided discovery, participants acquire the skills to handle clinical data, investigate predictive modeling, and comprehend the function of AI in authentic hospital and research settings.
Participants can access these sessions as online live training, supported by an interactive remote desktop. This setup allows individuals to participate from any location while maintaining active real-time collaboration.
For those preferring in-person instruction, live training can be conducted on-site at the client's location in Ostrava or within NobleProg’s corporate training facilities. This approach offers medical teams a concentrated and immersive setting for professional development.
Commonly referred to as Healthcare AI, AI in Medicine, or AI in Healthcare, this curriculum effectively connects technical proficiency with medical advancement, equipping institutions to embrace the upcoming era of intelligent medical tools.
NobleProg — Your Local Training Specialist
Ostrava
NobleProg Ostrava, Října 205/45, Ostrava, Czech Republic, 70200
You'll reach Platan Office thanks to the bus stop at Divadlo Loutek, just a 2-minute walk away. Leoš Janáček Airport Ostrava is located 25 km away. Platan Office have breakout area for time away from your desk or get fresh air on the rooftop terrace.
This instructor-led, live training in Ostrava (online or onsite) targets 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.
Upon completion 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 techniques in medical contexts.
Address privacy concerns, bias mitigation, and regulatory compliance during model development.
Deploy and monitor fine-tuned models in real-world healthcare environments.
This instructor-led training in Ostrava empowers healthcare professionals with the expertise to implement generative AI and prompt engineering in clinical tasks. Discover how to streamline workflows, maintain ethical compliance, and optimize AI-generated content for precise medical results.
This instructor-led live training, available online or on-site, is designed for intermediate-level data scientists and healthcare professionals seeking to harness AI for advanced healthcare applications using Google Colab.
By the conclusion of this training, participants will be able to:
Deploy 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.
This instructor-led, live training in Ostrava (online or onsite) is designed for healthcare professionals and researchers who aim to utilize ChatGPT to enhance patient care, optimize workflows, and improve healthcare outcomes.
Upon completion of this training, participants will be able to:
Comprehend the fundamentals of ChatGPT and its applications in healthcare.
Leverage ChatGPT to automate healthcare processes and interactions.
Provide accurate medical information and support to patients using ChatGPT.
This instructor-led, live training in Ostrava (online or onsite) is aimed at beginner-level to intermediate-level healthcare professionals, data analysts, and policy makers who wish to understand and apply 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.
This live training in Ostrava empowers healthcare practitioners and IT teams to implement Ollama for local LLM deployment. You will learn to weave AI into clinical workflows, adapt models for specific operational needs, and uphold rigorous data privacy and regulatory compliance within secure healthcare settings.
This instructor-led, live training in Ostrava (online or onsite) is designed for intermediate to advanced healthcare professionals and AI developers who aim to implement AI-driven healthcare solutions.
Upon completion of this training, participants will be able to:
Comprehend the role of AI agents in healthcare and diagnostic processes.
Create AI models tailored for medical image analysis and predictive diagnostics.
Integrate AI systems with electronic health records (EHR) and clinical workflows.
Ensure adherence to healthcare regulations and ethical AI standards.
This instructor-led, live training, available online or on-site, is designed for intermediate-level healthcare professionals and data scientists aiming to understand and apply AI technologies in healthcare environments.
Upon completion of this training, participants will be equipped to:
Recognize significant healthcare challenges that AI solutions can resolve.
Evaluate the impact of AI on patient care, safety, and medical research.
Comprehend the intersection of AI and healthcare business models.
Apply core AI principles to real-world healthcare scenarios.
Construct machine learning models for the analysis of medical data.
Delve into agentic AI within the healthcare sector through this instructor-led training in Ostrava. Discover how to architect, assess, and manage agent workflows tailored for clinical settings. Through practical labs and scenario-based exercises, participants will construct retrieval-augmented agents, implement protective guardrails, and develop proficiency in governance practices.
This instructor-led live training in Ostrava (available online or on-site) is intended for intermediate to advanced-level healthcare professionals, medical researchers, and AI developers seeking 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 instructor-led, live training in Ostrava (online or onsite) is aimed at 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.
Discover how LangGraph applies to healthcare in this live training held in Ostrava, designed for intermediate to advanced professionals. Gain expertise in designing stateful, compliant workflows, integrating standards like FHIR and SNOMED CT, and navigating ethical and operational complexities within regulated environments.
This instructor-led, live training in Ostrava (online or onsite) is aimed at intermediate-level healthcare professionals and AI developers who wish to leverage prompt engineering techniques for improving medical workflows, research efficiency, and patient outcomes.
By the end of this training, participants will be able to:
Understand the fundamentals of prompt engineering in healthcare.
Use AI prompts for clinical documentation and patient interactions.
Leverage AI for medical research and literature review.
Enhance drug discovery and clinical decision-making with AI-driven prompts.
Ensure compliance with regulatory and ethical standards in healthcare AI.
This live, instructor-led course in Ostrava focuses on deploying TinyML for healthcare monitoring and diagnostics. Learners will acquire the skills to design models for real-time health data, optimize them for low-power wearables, and guarantee clinical reliability, including hands-on lab work.
Designed for intermediate-level healthcare professionals interested in leveraging AI and AR/VR for medical education, surgical simulations, and rehabilitation, this instructor-led live training is available either online or on-site in Ostrava.
Upon completion of this training, participants will be able to:
Comprehend how AI enhances AR/VR experiences within healthcare.
Utilize AR/VR for surgical simulations and medical education.
Implement AR/VR tools for patient rehabilitation and therapeutic treatments.
Examine the ethical and privacy challenges associated with AI-enhanced medical technologies.
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