Overview
Build practical AI skills for precision medicine through a three-course pathway covering AI/ML fundamentals, large language models, and agentic AI systems. This track is designed for learners who want to understand how modern AI is transforming biomedical research, clinical workflows, and data-driven decision-making.
Across the track, learners work hands-on with biomedical datasets and Jupyter notebooks while progressing from foundational machine learning concepts to LLM-based reasoning and agentic AI workflows. Topics include AI/ML for biomedical data, multi-modal medical data analysis, LLM reasoning, AI agents, tool use, workflow automation, safety, ethics, and human oversight.
By the end of the track, learners will complete three certificate courses and receive three separate certificates, one for each course completed.
Courses in this track
- Fundamentals of AI/ML in Precision Medicine
Learn core AI and machine learning concepts using biomedical and omics datasets, with a focus on medical diagnosis, treatment, and precision medicine.
Video: https://www.youtube.com/watch?v=toEWRklzSBw - Algorithmic Thinking with LLMs for Data-Driven Medicine
Explore how LLMs, algorithmic reasoning, and structured workflows can help analyze clinical, genomics, transcriptomics, proteomics, metabolomics, microbiome, imaging, and wearable data.
Video: https://youtu.be/hyQKrlX7Zhk
3. Agentic AI for Healthcare
Learn how AI agents and multi-agent systems can support healthcare workflows through planning, tool use, collaboration, guardrails, verification, and responsible deployment.
