April 6, 2026
Introducing the new AI Engineering Course at the Davis Catalyst Center!
In this intermediate/advanced Al Engineering course, students dive deep into the rapidly growing world of artificial intelligence through hands on, project-based learning. Using open-source tools and NVIDIA powered local hardware, students will build and customize their own Al agents, experiment with training small language models, and explore how modern machine learning systems are developed in real world environments. Along the way they'll gain experience with ethical Al use, responsible deployment, and problem-solving techniques used by today's industry professionals.
Whether students are interested in programming, data science, or emerging tech careers, this course provides the practical skills and creative challenges needed to begin engineering intelligent systems of their own.
- Course Length: Semester (additional semesters available with instructor approval)
- Prerequisite (ONE of the following with a C or better): Computer Programming, Computer Science Principles (AP/CE preferred), Cybersecurity, or Intro to AI
- Industry Certifications: AWS Certified AI Practitioner
- University Credits Available: Coming Soon
- Class Fees: TBD
Questions? Call us at 801-402-4100 or visit https://catalyst.davis.k12.ut.us/ for general information, or apply at https://catalyst.davis.k12.ut.us/o/cace/page/apply-now
In this intermediate/advanced Al Engineering course, students dive deep into the rapidly growing world of artificial intelligence through hands on, project-based learning. Using open-source tools and NVIDIA powered local hardware, students will build and customize their own Al agents, experiment with training small language models, and explore how modern machine learning systems are developed in real world environments. Along the way they'll gain experience with ethical Al use, responsible deployment, and problem-solving techniques used by today's industry professionals.
Whether students are interested in programming, data science, or emerging tech careers, this course provides the practical skills and creative challenges needed to begin engineering intelligent systems of their own.
- Course Length: Semester (additional semesters available with instructor approval)
- Prerequisite (ONE of the following with a C or better): Computer Programming, Computer Science Principles (AP/CE preferred), Cybersecurity, or Intro to AI
- Industry Certifications: AWS Certified AI Practitioner
- University Credits Available: Coming Soon
- Class Fees: TBD
Questions? Call us at 801-402-4100 or visit https://catalyst.davis.k12.ut.us/ for general information, or apply at https://catalyst.davis.k12.ut.us/o/cace/page/apply-now