Seoul - Gran Seoul

Jongno-gu, Tower 1, Gran Seoul, 33 Jong-ro, Spaces Gran Seoul, 7F, Seoul, korea, 01359

Gran Seoul is located on the 7th floor of 24-storey Gran Seoul Tower. The location is just a stone's throw away from Gwanghwamun, the largest gate of Gyeongbukgung Palace which is one of the most popular tourist attractions and national landmark in the heart of Seoul. Spaces Gran Seoul can be conveniently accessed by public transportation with Kwanghwamoon subway station located just 500 meters away and only a few minutes’ walk to Jonggak subway station. Also located nearby and within 15 minutes ride is Seoul Station where five lines of bullet train, subway, and airport train are started. The Gran Seoul Tower is a grade-A commercial building combining office space, world class hotel, department store, major companies, finance enterprises, government offices and banks. Surrounded by historical and cultural facilities symbolizing Seoul’s pride, Gran Seoul is an ideal workspace for all businesses from start-ups to large international companies looking for established business location in the heart of Seoul's CBD.

Seoul Center 1

Jung-gu, 26, Eulji-ro 5-gil, 27/F, . West Center, Center1 Building, Seoul, korea, 04539

Center 1 is conveniently located at the core of Seoul's central business district (CBD). Center 1 is one of the most advanced green building in Korea. Offers smartly landscaped park for rest and for a showcase of media technology as a front yard. It also features top class amenities such as prestigious retail shops and wide range of sophisticated restaurants (Italian, Japanese, Thai, Chinese, Korean, Indian, and Mexican) and breezy cafes. Business, dining, and shopping are under one roof at Center 1. Many financial institutions, investment banks, and insurance companies are located in close proximity, including the headquarter for the Bank of Korea. Seoul's political, public administration, media, cultural and economic venues are all within walking distance of Center 1. Also hotels, department stores and other amenities are within walking distance.

Explore Our Courses

Fine-Tuning AI for Healthcare: Medical Diagnosis and Predictive Analytics

 14 Hours

This instructor-led, live training in Seoul (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.
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Generative AI and Prompt Engineering in Healthcare

 8 Hours

Generative AI is a technology that creates new content such as text, images, and recommendations based on prompts and data.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level healthcare professionals who wish to use generative AI and prompt engineering to improve efficiency, accuracy, and communication in medical contexts.

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

  • Understand the fundamentals of generative AI and prompt engineering.
  • Apply AI tools to streamline clinical, administrative, and research tasks.
  • Ensure ethical, safe, and compliant use of AI in healthcare.
  • Optimize prompts to achieve consistent and accurate results.

Format of the Course

  • Interactive lecture and discussion.
  • Practical exercises and case studies.
  • Hands-on experimentation with AI tools.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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AI for Healthcare using Google Colab

 14 Hours

This instructor-led, live training in Seoul (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.
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ChatGPT for Healthcare

 14 Hours

This instructor-led, live training in Seoul (online or onsite) is aimed at 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.
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Generative AI in Healthcare: Transforming Medicine and Patient Care

 21 Hours

This instructor-led, live training in Seoul (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.
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AI Agents for Healthcare and Diagnostics

 14 Hours

This instructor-led, live training in Seoul (online or onsite) is aimed at intermediate-level to advanced-level healthcare professionals and AI developers who wish to implement AI-driven healthcare solutions.

By the end 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.
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AI in Healthcare

 21 Hours

This instructor-led, live training in Seoul (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.
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Agentic AI in Healthcare

 14 Hours

Agentic AI is an approach where AI systems plan, reason, and take tool-using actions to accomplish goals within defined constraints.

This instructor-led, live training (online or onsite) is aimed at intermediate-level healthcare and data teams who wish to design, evaluate, and govern agentic AI solutions for clinical and operational use cases.

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

  • Explain agentic AI concepts and constraints in healthcare contexts.
  • Design safe agent workflows with planning, memory, and tool usage.
  • Build retrieval-augmented agents over clinical documents and knowledge bases.
  • Evaluate, monitor, and govern agent behavior with guardrails and human-in-the-loop controls.

Format of the Course

  • Interactive lecture and facilitated discussion.
  • Guided labs and code walkthroughs in a sandbox environment.
  • Scenario-based exercises on safety, evaluation, and governance.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Multimodal AI for Healthcare

 21 Hours

This instructor-led, live training in Seoul (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.
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Edge AI for Healthcare

 14 Hours

This instructor-led, live training in Seoul (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.
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LangGraph in Healthcare: Workflow Orchestration for Regulated Environments

 35 Hours

LangGraph enables stateful, multi-actor workflows powered by LLMs with precise control over execution paths and state persistence. In healthcare, these capabilities are crucial for compliance, interoperability, and building decision-support systems that align with medical workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges.

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

  • Design healthcare-specific LangGraph workflows with compliance and auditability in mind.
  • Integrate LangGraph applications with medical ontologies and standards (FHIR, SNOMED CT, ICD).
  • Apply best practices for reliability, traceability, and explainability in sensitive environments.
  • Deploy, monitor, and validate LangGraph applications in healthcare production settings.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on exercises with real-world case studies.
  • Implementation practice in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Prompt Engineering for Healthcare

 14 Hours

This instructor-led, live training in Seoul (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.
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AI and AR/VR in Healthcare

 14 Hours

This instructor-led, live training in Seoul (online or onsite) is aimed at intermediate-level healthcare professionals who wish to apply AI and AR/VR solutions for medical training, surgery simulations, and rehabilitation.

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

  • Understand the role of AI in enhancing 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.
Read more...

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Upcoming Courses

Multimodal AI for Healthcare

2025-11-10 10:00
21 hours
Seoul Center 1
₩ 7500000 (Online)
₩ 15000000 (Classroom)

ChatGPT for Healthcare

2025-11-24 10:00
14 hours
Seoul - Gran Seoul
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Multimodal AI for Healthcare

2025-12-08 10:00
21 hours
Seoul Center 1
₩ 7500000 (Online)
₩ 15000000 (Classroom)

AI and AR/VR in Healthcare

2025-12-22 10:00
14 hours
Seoul - Gran Seoul
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Edge AI for Healthcare

2026-01-05 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

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These courses are also available in other countries

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