Course Curriculum

    1. About this course

    2. How to use this course

    3. Pre-Course Survey

    1. Introduction to AI and ML in Healthcare

    1. The basics of machine learning in healthcare

    2. Explainability of machine learning models

    3. Evaluating ML models in healthcare

    1. The basics of deep learning algorithms and how they are applied in healthcare

    2. Convolutional Neural Network (CNN) / Recurrent Neural Networks (RNN) mechanics

    3. Natural Language Processing "The Basics"

    1. Bias and Fairness

    2. Repeatability and Reproducibility

    3. Integration and Deployment

About this course

  • Free
  • 13 lessons
  • 3.5 hours of video content
  • Beginner Level

Learning Objectives

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

  • Master the fundamentals of machine learning and AI, including key concepts such as supervised and unsupervised learning, and neural networks

  • Discover the real-world applications of AI in healthcare, including patient outcomes prediction, disease diagnosis, and clinical workflow optimization

  • Dive deep into the ethical considerations of using AI in healthcare, including bias, explainability, and repeatability

  • Collaborate with data scientists and machine learning engineers to design and execute machine learning projects

  • Develop the ability to critically assess the methodology, concepts, design and limitations of machine learning papers in healthcare

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

    3.5 hours of content. Complete the course in 1 week or less depending on your time

  • Collaborate and Build

    Gain a strong foundation of knowledge in machine learning and AI to empower you to collaborate and develop models in the healthcare field

FAQ

  • Who should take this course?

    This course is designed for healthcare professionals, researchers, data scientists, ML engineers and anyone interested in the application of ML/AI in healthcare, especially those who are new to the field

  • 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

Discover your potential, starting today

Enroll today

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