Course Curriculum

    1. A message from the instructor

      FREE PREVIEW
    2. How to use this course

    1. Introduction to AI and ML in Healthcare

      FREE PREVIEW
    1. Resources you need to accelerate your AI/ML journey

    1. The basics of machine learning in healthcare

    2. Explainability of machine learning models

    3. Evaluating ML models in healthcare

    4. Lab 1: Building machine learning models with low code

    5. Lab 2: Building machine learning models with no code

    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"

    4. Lab 1: Building deep learning models with no code

    5. Lab 2: Building deep learning models on AWS

About this course

  • $199.00
  • 21 lessons
  • Hands-on labs

4 Weeks course

Complete this course in 4 weeks/3 hours per week with this suggested plan. Feel free to change the plan based on your time and schedule.

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

    Everyone is busy. Set and maintain flexible deadlines

  • Hands-On

    Learn ML/DL by doing. Practice your learning on real healthcare data to solve real healthcare problems

FAQ

  • Who should take this course?

    Anyone interested in the application of AI/ML in healthcare. No computer science or pogroming background is required.

  • Why this course?

    The only hands-on course that teaches you how to apply ML/DL on healthcare data with low-code or no-code. Developed and taught by an AI/ML expert physician/researcher.

  • Do I need to have specific requirements to participate?

    No, you do not need to have a programming background or any other background to take this course.

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

    Yes, after completing the course, you will have a certificate of completion.

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Instructor Bio

I am an internationally known expert in the application of artificial intelligence (AI) and machine learning (ML) in healthcare. My team and I built and published several machine learning models in different specialties in medicine. I was the Director of the Center for Clinical AI at the Cleveland Clinic. I also built a team of data scientists and machine learning engineers that focused on solving healthcare problems using AI/ML at Amazon Web Services. I built and taught several courses on the application of AI in healthcare at the Lerner College of Medicine and the Case Western Reserve University Computer Science School. I was fortunate to mentor more than fifteen medical students, residents, fellows, and data scientists who built amazing machine learning algorithms and went on to use their AI/ML knowledge to solve more healthcare problems. I hope you will consider joining me in this online course to take your talent to the next level. Let us all use AI/ML to build better healthcare for all of us in the future.