AI in Healthcare Training Course

This live, instructor-led course in Thailand—delivered online or on-site—is tailored for mid-level to senior AI developers and healthcare professionals seeking to implement AI-centric medical solutions.

Upon completion of this course, attendees will be equipped to:

• Grasp the function of AI agents within medical care and diagnostic settings.
• Create AI models capable of analyzing medical images and providing predictive diagnostics.
• Blend AI capabilities with clinical workflows and electronic health records (EHR).
• Maintain adherence to medical regulations and uphold ethical AI standards.

This live, instructor-led program, offered in Thailand (either virtually or on-site), is tailored for intermediate healthcare professionals looking to implement AI and AR/VR solutions for medical education, surgical rehearsals, and patient recovery.

By the conclusion of this session, attendees will have the capability to:

• Comprehend how AI elevates the quality of AR/VR experiences in medical contexts.
• Utilize AR/VR tools to support patient rehabilitation and therapeutic activities.
• Investigate the ethical and privacy dimensions of AI-assisted medical devices.

This instructor-led, live training in Thailand (available online or onsite) is tailored for intermediate-level data scientists and healthcare professionals looking to implement advanced AI applications in the healthcare domain using Google Colab.

By the conclusion of this program, participants will be equipped to:

• Construct and deploy AI models for healthcare tasks using Google Colab.
• Apply AI for predictive modeling across various healthcare datasets.
• Interpret medical images utilizing AI-driven analytical techniques.
• Evaluate the ethical dimensions of AI-based healthcare solutions.

This live, instructor-led training session in Thailand (available online or onsite) is tailored for healthcare experts and researchers aiming to utilize ChatGPT to refine patient care, streamline daily workflows, and achieve superior healthcare outcomes.

By the conclusion of this program, participants will be capable of:

• Understanding the essential mechanics of ChatGPT and its relevance to healthcare.
• Applying ChatGPT to automate key healthcare processes and improve interactions.
• Utilizing ChatGPT to provide patients with accurate medical information and assistance.
• Employing ChatGPT to support medical research initiatives and data analysis.

This live, instructor-led training, available in Thailand (online or on-site), targets intermediate-level healthcare professionals, biomedical engineers, and AI developers aiming to apply Edge AI to create 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.

Tailored for intermediate to advanced medical AI developers and data scientists, this instructor-led live training Thailand (online or onsite) offers specialized skills in fine-tuning models for clinical diagnosis, disease prediction, and patient outcome forecasting, leveraging both structured and unstructured medical data.

By the conclusion of this training, participants will be capable of:

• Fine-tuning AI models using healthcare datasets, including EMRs, imaging, and time-series data.
• Implementing transfer learning, domain adaptation, and model compression for medical applications.
• Managing privacy, bias, and regulatory compliance in model development.
• Deploying and monitoring fine-tuned models in practical healthcare settings.

This interactive, instructor-led program in Thailand, delivered either online or on-site, is tailored for healthcare professionals, data analysts, and policymakers with beginner to intermediate expertise who wish to explore the practical application of generative AI in medical contexts.

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

• Explain the foundational principles and specific uses of generative AI in healthcare.
• Identify areas where generative AI can drive improvements in drug discovery and personalized therapy.
• Apply generative AI techniques to enhance medical imaging and diagnostic processes.
• Critically assess the ethical implications of AI implementation in clinical environments.
• Create actionable strategies for integrating AI solutions into healthcare systems.

This live, instructor-led program in Thailand (online or onsite) is designed for intermediate to advanced practitioners in healthcare, medical research, and AI development who seek to implement multimodal AI in diagnostics and clinical applications.

By the end of the course, learners will be capable of:

• Understanding the function of multimodal AI within modern healthcare settings.
• Integrating both structured and unstructured medical data to enable AI-driven diagnostics.
• Applying AI techniques to evaluate medical images and electronic health records.
• Creating predictive models for disease detection and treatment planning.
• Deploying speech and NLP technologies for medical transcription and patient communication.

This live training in Thailand empowers healthcare practitioners and IT teams to leverage Ollama for local LLM deployment. Participants will learn to integrate AI into clinical workflows, customize models for specialized tasks, and uphold stringent data privacy standards and regulatory compliance within secure healthcare contexts.

This instructor-led live training, delivered in Thailand (via online or onsite sessions), is tailored for intermediate-level healthcare professionals and AI developers eager to harness prompt engineering to refine medical workflows, boost research productivity, and elevate patient care outcomes.

By the conclusion of this program, participants will be equipped to:

• Comprehend the essential concepts of prompt engineering in the healthcare domain.
• Deploy AI prompts to enhance clinical documentation and improve patient communication.
• Leverage AI tools to support medical investigations and conduct literature reviews.
• Strengthen drug discovery initiatives and clinical decision-making processes using AI-driven prompts.
• Maintain compliance with regulatory frameworks and ethical guidelines for healthcare AI.

This live, instructor-led training in Thailand focuses on deploying TinyML solutions for healthcare monitoring and diagnostics. Learners will design models for real-time health data, optimize for low-power wearables, and ensure clinical reliability. The course includes hands-on lab exercises.