Durationkeyboard_arrow_down
The programme is available in two duration modes:
1 month (Fast-track mode)
2 months (Standard mode)
Course Delivery keyboard_arrow_down

Online

Entry Requirementskeyboard_arrow_down

One of the following:

Course Contentkeyboard_arrow_down

The 'Certificate in AI in Personalized Medical Devices' is a comprehensive program designed to equip participants with the knowledge and skills to leverage AI technologies in the development and optimization of personalized medical devices. Key highlights of the course include:

  1. Introduction to AI in Healthcare: Explore the fundamentals of artificial intelligence and its applications in personalized medicine and medical device development.

  2. Data Analytics for Medical Devices: Learn how to collect, analyze, and interpret healthcare data to inform the design and optimization of personalized medical devices.

  3. Regulatory Considerations: Understand the regulatory frameworks and standards governing the development, approval, and commercialization of medical devices, ensuring compliance and patient safety.

  4. Design Principles for Personalized Medical Devices: Discover best practices for designing medical devices that are tailored to individual patient needs, with a focus on usability, accessibility, and effectiveness.

  5. Case Studies and Practical Applications: Gain insights from real-world case studies and examples of AI-driven personalized medical devices, applying theoretical knowledge to practical scenarios and projects.

  6. Industry Insights and Guest Lectures: Engage with industry experts and thought leaders through guest lectures, panel discussions, and networking opportunities, gaining valuable insights into current trends and emerging technologies in the field.

  7. Hands-on Projects and Assessments: Apply theoretical concepts and skills learned throughout the course to hands-on projects and assessments, receiving personalized feedback and guidance from instructors.

By the end of the program, participants will be equipped with the knowledge, skills, and practical experience needed to drive innovation and advancement in the field of personalized medical devices, leveraging AI technologies to improve patient outcomes and revolutionize healthcare delivery.

Assessment keyboard_arrow_down

The assessment is done via submission of assignment. There are no written exams.

Course fee keyboard_arrow_down
The fee for the programme is as follows:

1 month (Fast-track mode) - £140


2 months (Standard mode) - £90
Payment planskeyboard_arrow_down

Please find below available fee payment plans:

1 month (Fast-track mode) - £140


2 months (Standard mode) - £90


Accreditationkeyboard_arrow_down

Please Note:-

    Stanmore School of Business