University of Wisconsin–Whitewater
Certificate in Applied AI & ML
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 $7.4K in total tuition, the Certificate in Applied AI & ML sits roughly 35% below the $11.4K average for AI certificate programs in our database — placing it in the 34th percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related technical field, with demonstrated proficiency in programming and mathematics through calculus. Some programs accept candidates with non-technical backgrounds if they complete prerequisite coursework in programming and linear algebra.
About This Program
This online graduate certificate is designed for professionals seeking to leverage artificial intelligence and machine learning in digital environments. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.
Estimated total tuition is $7.4K, below the $11.4K average for AI certificate programs in our database and in the 34th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Gain machine learning skills to advance as Product Analyst in Business AI Graduates frequently move into roles such as Product Analyst, with reported salaries around $132,000.
Career Outcomes
Gain machine learning skills to advance as Product Analyst in Business AI
- 1. Machine Learning Engineer
- 2. AI/ML Research Scientist
- 3. Data Scientist
- 4. AI Solutions Architect
What You'll Learn
- Design and implement machine learning models for classification, regression, and clustering tasks
- Build and train deep neural networks for complex pattern recognition and prediction
- Develop end-to-end ML pipelines from data preprocessing to model deployment
- Apply AI/ML techniques to domain-specific problems in computer vision, NLP, and autonomous systems
Curriculum Highlights
The curriculum covers marketing analytics, digital strategy, AI-driven advertising, and emerging technologies in a flexible online format.
Top Employers
Common employers include tech giants like Google, Microsoft, Amazon, Meta, OpenAI, NVIDIA, and JPMorgan Chase, as well as specialized AI firms and government research agencies investing in artificial intelligence capabilities.
Admissions
Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related technical field, with demonstrated proficiency in programming and mathematics through calculus. Some programs accept candidates with non-technical backgrounds if they complete prerequisite coursework in programming and linear algebra.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2
- Resume: Required
- Transcripts: Official transcripts required
- Portfolio: Programming projects or GitHub portfolio recommended
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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