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AI for Life Sciences Foundations Certificate Track Training
"AI for Life Sciences Foundations Certificate Track Training" introduces core AI concepts for applications in drug development, diagnostics, and research. Learners are trained to evaluate data readiness, model applicability, and industry impact. Cybersecurity modules ensure participants understand how to safeguard patient data and proprietary models from exploitation. The course prepares professionals for ethical, secure AI use in life sciences.
Provider Information
Tonex, Inc.
6275 W. Plano Parkway, Suite 500
Plano, TX 75093
Course Overview
None
Learning Objectives
- Grasp the fundamental concepts of Artificial Intelligence and Machine Learning relevant to life sciences.
- Understand common AI algorithms, data types, and machine learning techniques used in biological and health data analysis.
- Explore various foundational AI applications across different life science domains, including genomics and proteomics.
- Recognize the foundational cybersecurity practices necessary to protect AI development environments, sensitive data sources, and computational infrastructure used in life sciences, preventing unauthorized access, data corruption, and intellectual property theft.
- Identify key data preparation methods, model training processes, and evaluation metrics for AI in life sciences.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.