University of Idaho

How this program compares

At an estimated $7.4K in total tuition, the Graduate Certificate in AI and Machine Learning 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 a quantitative field (computer science, engineering, mathematics, or related discipline) with a minimum undergraduate GPA of 3.0. Some programs accept candidates with demonstrated professional experience in technical roles, even without a traditional computer science background.

About This Program

This online certificate program builds a strong foundation in AI and machine learning through the study of advanced models and data pipelines. Coursework concentrates on MLOps/AI Engineering and Machine Learning. 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 Machine Learning Engineer in Cross-Industry AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $115,000.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. AI/ML Data Scientist
• 3. MLOps Engineer
• 4. AI Research Scientist

What You'll Learn

• Design, train, and evaluate machine learning models using Python libraries (scikit-learn, TensorFlow, Keras) and apply them to real-world classification and regression problems
• Build and deploy production-ready ML systems using MLOps principles, CI/CD pipelines, containerization, and cloud infrastructure
• Develop natural language processing models for text classification, sentiment analysis, and machine translation using transformer architectures and LLMs
• Implement generative AI applications including fine-tuned large language models, prompt engineering, and agentic AI systems with tool integration and reasoning capabilities

Curriculum Highlights

The 12-credit curriculum focuses on AI fundamentals, machine learning algorithms, and the practical application of these tools across various industrial sectors.

Top Employers

Common employers include Google, Microsoft, Amazon, Meta, OpenAI, IBM, and major financial institutions like JPMorgan Chase and Goldman Sachs, as well as government agencies investing in AI research and development.

Admissions

Applicants typically need a bachelor's degree in a quantitative field (computer science, engineering, mathematics, or related discipline) with a minimum undergraduate GPA of 3.0. Some programs accept candidates with demonstrated professional experience in technical roles, even without a traditional computer science background.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Official Transcripts: Required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional (some programs may waive for candidates with strong technical backgrounds)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)