TrAC Foundations in AI
This badge acknowledges the completion of the Foundations of AI milestone, a critical step in building a strong knowledge base in AI. By earning this badge, recipients have demonstrated a solid understanding of core concepts, principles, and practices in AI laying a solid groundwork for further exploration and specialization in the field and part of the Professional Certificate in Translational AI pathway.
Skills / Knowledge
- Artificial Intelligence
Earning Criteria
Required
Participants are awarded the Foundations in AI badge, recognizing their ability to apply AI principles and techniques effectively in real-world contexts by completing the following:
Enrollment and Course Completion: Participants must enroll in and complete a minimum of 3, 4-week online courses in the Foundations of AI program offered by the institution. These courses cover modern AI tools and framework essentials, model deployment, optimization and evaluation, and end-to-end workflow understanding. Course options include:
MLOps
End-to-End Computer Vision
Generative Models
Mastering PyTorch
End-to-End Natural Language Processing
Interpretability in AI
Project Work: Participants must demonstrate their ability to apply AI concepts and techniques through hands-on projects, case studies, and simulations wtihin each course completed.
Assessment: Participants must demonstrate proficiency in course material through satisfactory completion of assignments, quizzes, exams, or other assessment measures as defined by the course instructors.
Attendance: Participants are encouraged to actively engage in any online learning activities and discussions.
Grade Requirement: Participants must maintain a passing grade in all courses as specified by the institution.
About TrAC
The Translational AI Center will break down disciplinary silos to bring together core Iowa State artificial intelligence researchers and subject matter experts interested in applying new technologies to their work. The center will initially focus on conducting core artificial intelligence research, as well as pursuing five application areas of artificial intelligence:
Materials design and manufacturing
Biology, healthcare, and quality of life
Autonomy, intelligent transportation, and smart infrastructure
Food, energy, and water
Ethics, fairness, and adoption.
In addition to serving as a scientific hub for translational artificial intelligence, the center will organize research seminars, host workshops, training, and onboarding programs, offer seed funding for research projects, and serve as an intermediary between private industry partners seeking research services and appropriate university faculty.