Mövenpick Hotel

adjacent to Mohammed Al-Taweel Street, Jeddah, Saudi Arabia, 21451

The Mövenpick Hotel Jeddah is ideally located opposite the Ministry of Interior on Madinah road. Close to consulates, ministries and hospitals, it is adjacent to Mussadiah Shopping area and City Shopping Centre. King Abdul Aziz International Airport is only 25 minutes away, while Jeddah City Centre is just 5 minutes. Very famous taxi stand is near by Al Maghrib Al Arabi, Al-Hamra'a, Jeddah 23212, Saudi Arabia. An airport pick-up service by limousine including free Wi-Fi access is available 24-hour upon request. An airport representative will be holding a paging board with Mövenpick logo in front of the “Exit Gate” in order to assist and escort you to your Limousine. Please provide us with your full flight details in the “Remarks” box while making your reservation; otherwise, we will not be able to arrange this service.

Park Inn by Radisson Hotel

Intersect Highway 615, Makkah Road 67th Street, Dammam, Saudi Arabia, 34334

Host your next tailor-made meeting, business gathering, or conference in our versatile event space in the heart of Dammam's business district. Our location offers five fully-equipped meeting rooms that can accommodate up to 490 guests, six workshop rooms with natural daylight, and a 530 square meter space for receptions, pre-function time, and coffee breaks. Each meeting room is equipped with the latest audiovisual technology and free Wi-Fi. Conveniently located on the lobby level, all the meeting rooms in our event space feature energizing natural daylight. Our 2 spacious meeting rooms are ideals for meetings and conferences. We also have 6 additional workshop rooms and an informal meeting area in the meeting foyer. This space also makes a great pre-function area for receptions and mixers. For banquets, weddings, and galas, reserve our 412-square-meter ballroom. Directions: The airport is 45 km away from the hotel (a 35-minute drive). Head south on King Fahd Road (Route 605) for around 27 km, then follow the slip road on the right onto Route 95. Continue for 8.5 km, before taking another slip road onto Route 615. After 9.5 km, cross the traffic light straight ahead for 300 meters after the gas station and make a sharp right continue straight for 400 meters and the hotel will be to your left side. By airport shuttle: Our shuttle service to and from King Fahd International Airport makes traveling hassle-free. Arrange travel details with our hotel staff. By taxi: The station is 30km away from the hotel. A taxi ride takes about 25 minutes to reach the hotel. Consult for private transfers with our hotel staff.

The Ritz Carlton

District Southern, Al Kurnaysh Rd, Al-Hamra'a Street, Jeddah, Saudi Arabia

Along Saudi Arabia’s western coast overlooking the Red Sea, The Ritz-Carlton, Jeddah carries on the tradition of this former palace by welcoming guests with attentive service and luxurious amenities. The Ritz-Carlton, Jeddah maintains elements of its palatial rooms, welcoming hotel guests with a magnificent fountain, majestic arches, and traditional Saudi Arabian hospitality. Set along Al Hamra corniche and overlooking the Red Sea, the five-star hotel is a destination for international business travelers, newlyweds, pilgrims journeying to Makkah, and families seeking a weekend escape. At The Ritz-Carlton, meetings are more than gathering around a conference table: They’re joining colleagues to plant trees in Lake Tahoe, taking the afternoon to surf in Bali, or bonding with teammates in a state-of-the-art kitchen in Cleveland. Using the destination as their foundation, meeting experiences are crafted with beautiful venues, the latest technology, locally inspired catering, and highly personalized service. Direction: King Abdulaziz International Airport A 30-minute drive from King Abdulaziz International Airport

Explore Our Courses

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

 14 Hours

This instructor-led, live training in Jeddah (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 Jeddah (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 Jeddah (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 Jeddah (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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Ollama Applications in Healthcare

 14 Hours

Ollama is a lightweight platform for running large language models locally.

This instructor-led, live training (online or onsite) is aimed at intermediate-level healthcare practitioners and IT teams who wish to deploy, customize, and operationalize Ollama-based AI solutions within clinical and administrative environments.

Upon completing this training, participants will be able to:

  • Install and configure Ollama for secure use in healthcare settings.
  • Integrate local LLMs into clinical workflows and administrative processes.
  • Customize models for healthcare-specific terminology and tasks.
  • Apply best practices for privacy, security, and regulatory compliance.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on demonstrations and guided exercises.
  • Practical implementation in a sandboxed healthcare simulation environment.

Course Customization Options

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

 14 Hours

This instructor-led, live training in Jeddah (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 Jeddah (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 Jeddah (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 Jeddah (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.
Read more...

Prompt Engineering for Healthcare

 14 Hours

This instructor-led, live training in Jeddah (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.
Read more...

TinyML in Healthcare: AI on Wearable Devices

 21 Hours

TinyML is the integration of machine learning into low-power, resource-limited wearable and medical devices.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to implement TinyML solutions for healthcare monitoring and diagnostic applications.

After completing this training, participants will be able to:

  • Design and deploy TinyML models for real-time health data processing.
  • Collect, preprocess, and interpret biosensor data for AI-driven insights.
  • Optimize models for low-power and memory-constrained wearable devices.
  • Evaluate the clinical relevance, reliability, and safety of TinyML-driven outputs.

Format of the Course

  • Lectures supported by live demonstrations and interactive discussion.
  • Hands-on practice with wearable device data and TinyML frameworks.
  • Implementation exercises in a guided lab environment.

Course Customization Options

  • For tailored training that aligns with specific healthcare devices or regulatory workflows, please contact us to customize the program.
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AI and AR/VR in Healthcare

 14 Hours

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

Last Updated:

Upcoming Courses

Ollama Applications in Healthcare

2026-04-06 09:30
14 hours
Mövenpick Hotel

TinyML in Healthcare: AI on Wearable Devices

2026-04-20 09:30
21 hours
Park Inn by Radisson Hotel

AI for Healthcare using Google Colab

2026-05-04 09:30
14 hours
The Ritz Carlton

Agentic AI in Healthcare

2026-05-18 09:30
14 hours
Mövenpick Hotel

Agentic AI in Healthcare

2026-06-01 09:30
14 hours
Park Inn by Radisson Hotel

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