AI and AR/VR in Healthcare Training Course

This instructor-led, live training in Malaysia (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:

• Understand 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, live training in Malaysia (online or onsite) is designed for beginner-level professionals keen on learning how to apply AI techniques to AR and VR systems.

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

• Grasp the fundamentals of AI and its function within AR/VR technologies.
• Examine key AI-driven techniques used to elevate AR/VR experiences.
• Deploy simple AI models within AR/VR applications.
• Leverage AI to enhance interactivity and user experience in AR/VR.

This instructor-led, live training in Malaysia (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 Malaysia (online or onsite) is designed for intermediate-level healthcare professionals and data scientists who aim to comprehend and implement AI technologies within healthcare settings.

Upon completing this training, participants will be equipped to:

• Pinpoint significant healthcare challenges that AI can resolve.
• Evaluate the influence of AI on patient care, safety protocols, and medical research.
• Grasp the interplay between AI and healthcare business models.
• Apply core AI concepts to real-world healthcare scenarios.
• Construct machine learning models tailored for medical data analysis.

This instructor-led, live training in Malaysia (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 instructor-led, live training in Malaysia (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.

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

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 for AI-driven diagnostics.
• Apply AI techniques to analyse 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 Malaysia enables healthcare professionals and IT teams to implement Ollama for local LLM deployment. Gain insights into integrating AI into clinical workflows, tailoring models for specific duties, and upholding rigorous data privacy and regulatory standards within secure healthcare ecosystems.

This instructor-led, live training in Malaysia (online or onsite) is designed for intermediate-level healthcare professionals and AI developers who aim to leverage prompt engineering techniques to enhance 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 training in Malaysia focuses on deploying TinyML solutions for healthcare monitoring and diagnostics. Learners will master the design of models for real-time health data, optimization for low-power wearables, and ensuring clinical reliability, supported by hands-on lab exercises.