Course curriculum

    1. A message from the instructor

    2. How to use this course

    3. Before we begin...

    1. What is Generative AI?

    2. Generative AI, Dive deep..

    3. Brief overview of the most popular generative AI models

    1. Examples of the Applications of Gen AI in Drug Discovery and the Clinic

    1. Ethical and Clinical Challenges

    1. Summary and Conclusions

    2. More resources for you

    3. Before you go...

About this course

  • Free
  • 11 lessons
  • 1 hour of video content
  • Beginner level

Learning Objectives

After you complete this course, you will be able to:

  • Define and distinguish between generative and discriminative AI models

  • Identify the main applications of Generative AI in healthcare, including drug discovery, medical imaging, personalized medicine, and data augmentation

  • Recognize the ethical, clinical, and regulatory considerations associated with applying Generative AI in healthcare settings

  • Recognize the potential future advancements, challenges, and implications of Generative AI in the healthcare domain

Why this course?

  • Simple

    Learn complex topics in a very easy way. You do not need to have a computer science background to participate

  • Self -Paced

    1 hour of content. Complete the full course at your convenience

  • Upscale your talent

    Develop a highly sought-after skill set that will enable you to build the future of healthcare with AI-powered solutions

FAQ

  • Who should take this course?

    This course is designed for Healthcare professionals, Data scientists, Technology enthusiasts, Students pursuing degrees in healthcare/computer science, Individuals working in healthcare organizations, such as hospital administrators or IT professionals, and anyone who is interested in the application of Generative AI in healthcare

  • What are the requirements or prerequisites for taking this course?

    This course does not require any prior programming experience and is designed for those who are new to the field and looking to learn everything from scratch. No prerequisites are required

  • Can I have a certificate at the end of this course?

    Yes, upon course completion, a certificate will be provided upon request

Discover your potential, starting today

Enroll now, do not miss this opportunity

Instructor Bio

Aziz Nazha, MD

As an expert in the field of AI and ML applied to healthcare, I have a proven track record of success in developing and publishing machine learning models across a variety of medical specialties. I have served as Director of the Center for Clinical AI at the Cleveland Clinic, led a team of data scientists and ML engineers at Amazon Web Services focused on solving healthcare challenges, and have taught courses on AI in healthcare at the Lerner College of Medicine and Case Western Reserve University Computer Science School. I have had the privilege of mentoring numerous medical students, residents, fellows and data scientists who have gone on to utilize their AI/ML expertise to address healthcare issues. Join me in this online course and take your skills to the next level. Together, we can use AI/ML to build a better healthcare system for all