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AI Essentials for Healthcare

Issued to: Rand Obeidat

Issued By: Courses

Date Issued: Nov 18, 2025

Description: AI Essentials for Healthcare is a self-directed course designed to support professional development on the application of AI in healthcare.Course ObjectivesUnderstand the role of AI in advancing healthcare outcomes for all
Demystify AI “buzzwords” like machine learning, deep learning, computer vision, and natural language processing (NLP)Identify the right AI tool for different challenges and opportunitiesManage and launch AI projects in healthcareThe curriculum focuses on: Identifying appropriate AI tools for different contexts and applications in healthcare settingsLeveraging AI-based clinical decision support tools to reduce inconsistencies in healthcareManaging the organizational resources needed for AI, measuring performance and outcomes, and justifying the return on investmentBuilding high-performance ML/AI teams and creating the right organizational culture for AI-enabled transformationTranslating cutting-edge AI knowledge into objectivity-enhancing projectsThe content, which covers both foundational and emerging AI topics, provides keys to leading in this period of rapid growth of AI, as the healthcare industry continues to evolve and produce an increasing amount of yet-unharnessed data power.Course StructureThis course contains nine modules, each composed of multiple lessons. Each lesson contains a video, typically 10 minutes in length or shorter. At the end of each module, there is a quiz for self-assessment.No coding experience is required. This course focuses on essential AI concepts. However, to gain a solid grasp of AI concepts, it is critical that you "experience" the coding process (to see how the concepts are applied). Google Colab notebooks are provided for this purpose. You are not required to understand the coding details, but you are required to view the notebooks. The notebooks are self-explanatory and require no setup or additional coding.
Instrumental PersonsWe would like to recognize and express our gratitude to the following people who shared in the creation and implementation of this course:Gordon Gao, PhD, Johns Hopkins University, DSTC Core, AIM-AHEADRitu Agarwal, PhD, Johns Hopkins University, DSTC Core, AIM-AHEADUpasna Sagar, MHA, BDS, Johns Hopkins University, DSTC Core, AIM-AHEADNeil Sehgal, PhD, MPH, University of Maryland, College ParkBeth Blauer, JD, Johns Hopkins UniversityToufeeq Ahmed, PhD, Communications Hub, AIM-AHEAD
Aidan Hoyal, MSIS, MA, Communications Hub, AIM-AHEADZainab Latif, MCS, Communications Hub, AIM-AHEAD
We also thank the following teaching assistants for their outstanding contributions: Louis Liu, Junjie Luo, Husnaa Shashid, and Angela Yang.

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