Kristin Terrill
The Literacy in Emerging AI Techniques micro-credential equips professionals with essential AI literacy skills to navigate and leverage AI technologies effectively. This program connects state-of-the-art AI advancements with practical applications, fostering a deep understanding beyond surface-level AI tools.
Participants will develop AI literacy tailored to their specific domains, enabling them to critically evaluate emerging AI techniques, communicate AI capabilities and limitations, and apply AI-driven insights to strategic decision-making. This micro-credential empowers professionals from diverse industries to engage meaningfully with AI applications in their fields.
Skills / Knowledge
- Communicating AI
- Artificial Intelligence
- Generative AI
- Problem-solving
- Critical Thinking
- AI Strategy & Implementation
Issued on
Expires on
Earning Criteria
Required
The program is comprised of an intensive in-person 8-hour tutorial combining lectures and interactive discussions with 3-4 hours of hands-on group case studies for assessment.
Participants learn skills that map directly to emerging workforce needs in AI literacy, including the ability to evaluate cutting-edge AI techniques, connect state-of-the-art advances with domain-specific applications, and effectively communicate AI capabilities and limitations to stakeholders.
To earn this digital badge, learners will:
Engage in an 8-hour tutorial, available in both in-person and online formats, that includes expert-led lectures, interactive discussions, and guided case study analysis.
Demonstrate AI literacy skills aligned with workforce needs, including evaluating AI techniques, applying AI advances to domain-specific challenges, and effectively communicating AI concepts to stakeholders.
Assessment:
To earn this micro-credential, learners must successfully demonstrate a nuanced understanding of AI capabilities, limitations, and appropriate applications by completing the following assessments:
1. Knowledge Assessment:
Pre-Tutorial Assessment: Establishes baseline AI knowledge.
Post-Tutorial Assessment: Must score a minimum of 70% on a comprehensive evaluation covering key AI concepts, techniques, and applications.
2. Case Study Analysis (Group Activity):
Analyze a real-world scenario involving AI application challenges.
Identify appropriate AI approaches for the scenario.
Evaluate potential benefits, limitations, and ethical considerations.
Present findings and recommendations.
Assessed on the ability to
The Literacy in Emerging AI Techniques micro-credential is developed by Iowa State University's Translational AI Center (TrAC), ensuring the content addresses real-world challenges in implementing and integrating advanced AI technologies beyond what dominates headlines.
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.