Course Curriculum

    1. A message from the instructor

    2. How to use this course

    1. Introduction to AI and ML in Healthcare

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

    1. The basics of Python programming

    2. Python programming by Googling

    3. Using Codex (Open AI) to program like a Pro

    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

  • Free
  • 21 lessons
  • 6 hours of video content
  • Hands-on labs
  • Beginner Level

Learning Objectives

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

  • Understand the basics of machine learning and AI, including key terminology and concepts such as supervised learning, unsupervised learning, and neural networks

  • Understand how machine learning and deep learning models are built and validated on healthcare data

  • Understand the basic syntax and structure of the Python programming language and how to build machine learning models in python by googleing

  • Understand how to use Codex (Open AI) to turn texts into code and accelerate your learning journey

  • Build (hands-on) machine learning models using real healthcare data with or without code

  • Understand the ethical considerations involved in using machine learning and AI in healthcare, including bias, explainability, repeatability, and others

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

    Six hours of content. Complete the course in 2-3 weeks or less depending on your time

  • 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?

    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

  • Why this course?

    Our low/no-code course, taught by AI/ML expert physician/researcher, is the only hands-on option for learning ML/DL application on healthcare data

  • 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 the 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