CertificateOn-CampusFull-Time

University of Wisconsin–Eau Claire

Certificate in AI Principles & Techniques

Eau Claire, Wisconsin1 years$638K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.

How this program compares

At an estimated $6.4K in total tuition, the Certificate in AI Principles & Techniques sits roughly 44% below the $11.4K average for AI certificate programs in our database — placing it in the 27th percentile on cost among the 236 we track at this level.

Est. Salary$120,000 AI Research Scientist
Job Growth+36%
Top RoleAI Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$6K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

Typical admitted student: Applicants typically need a bachelor's degree from an accredited institution and demonstrated foundational knowledge in mathematics, statistics, or computer science. Some programs accept students without a technical background if they complete prerequisite coursework.

About This Program

A 16-credit undergraduate certificate providing a foundational introduction to the concepts, tools, and ethical considerations required for modern artificial intelligence applications. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.

Estimated total tuition is $6.4K, below the $11.4K average for AI certificate programs in our database and in the 27th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Gain machine learning skills to advance as AI Engineer in Cross-Industry AI Graduates frequently move into roles such as AI Engineer, with reported salaries around $130,000.

Career Outcomes

Gain machine learning skills to advance as AI Engineer in Cross-Industry AI

  • 1. Machine Learning Engineer
  • 2. AI/ML Data Scientist
  • 3. AI Ethics Specialist
  • 4. AI Solutions Consultant

What You'll Learn

  • Apply machine learning algorithms to solve real-world problems and analyze patterns in complex datasets
  • Design and evaluate AI models while understanding limitations, bias, and ethical implications of AI systems
  • Implement deep learning techniques and neural networks for classification, regression, and pattern recognition tasks
  • Develop responsible AI practices that balance technical innovation with ethical considerations and transparency

Curriculum Highlights

The program consists of required coursework in computing with Python, elementary statistics, AI foundations, and human-computer interaction principles.

Top Employers

Top employers in AI and machine learning include major technology firms such as Google, Microsoft, Amazon, IBM, Meta, and Apple, as well as financial institutions, healthcare organizations, and government research agencies investing in AI innovation.

Admissions

Applicants typically need a bachelor's degree from an accredited institution and demonstrated foundational knowledge in mathematics, statistics, or computer science. Some programs accept students without a technical background if they complete prerequisite coursework.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2
  • Resume: Required
  • Transcripts: Official transcripts required

Academic Requirements

  • Degree Required: Bachelor's degree
  • GRE/GMAT: Optional
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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