May 14, 2026  
2026-2027 Catalog 
    
2026-2027 Catalog

AI Systems Design and Innovation (AISDI)

Location(s): Fort Omaha Campus, South Omaha Campus, Elkhorn Valley Campus, MCC Sarpy Center, Online


Return to {$returnto_text} Return to: Degrees and Certificates

Award: Career Certificate
Pathway to Associate Degree: Associate in Applied Science - Information Technology (AASIT)
Academic Focus Area: Information Technology

 

In this program, students will learn how to design and work with intelligent AI systems that solve real-world problems. They will explore how agentic AI and human-in-the-loop approaches work together to create smarter, safer outcomes. Through hands-on prompting, analysis and coding, students will learn to generate intelligent systems and evaluate AI output for quality, accuracy, and bias. They will also investigate common AI errors-and how to minimize them using strategies like tone, temperature, and structured prompts. By the end of the program, students will be able to build functional AI agents by using modern tools and coding techniques to integrate scalable intelligent solutions for real-world applications.

 

Note: This level II certificate can be taken on its own or combined with the level I, Software Developer (ITSWD) certificate within the AASIT degree. 

 

Graduation Requirements
To earn this degree, a student must complete all required courses.
Total credit hours required: 27.0

Links to Additional Resources



 

Recommended Curriculum Plan


AI Systems Design and Innovation (AISDI)

The following plan is designed to be the most direct path to degree completion and is based on a fall quarter start. Students are expected to meet with their student success navigator or advisor to plan a customized course schedule that meets their specific needs. For more information or assistance with registering, please call 531-622-2400.

Program Level Student Learning Outcomes


  1. Recognize fundamental concepts of agentic systems and generative artificial intelligence.
  2. Apply AI technology to different scenarios by analyzing successful prompt engineering strategies.
  3. Examine output from AI tools to determine quality, applicability, replicability, and accuracy.
  4. Analyze potential risks and biases associated with agentic AI agents.
  5. Investigate common AI errors such as hallucination and bia using prompting techniques involving tone and temperature.
  6. Utilizatize modern coding practices and tools to generate AI agents for problem solving.

Return to {$returnto_text} Return to: Degrees and Certificates