CertificateOnlineFlexible

Rensselaer Polytechnic Institute

Graduate Certificate in Machine Learning and AI

Troy, New York1 years$19K 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 β€” see our methodology.

How this program compares

At an estimated $19.4K in total tuition, the Graduate Certificate in Machine Learning and AI sits about 69% above the $11.4K average for AI certificate programs in our database β€” placing it in the 86th 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.

Est. Salary$130,000 AI Research Scientist
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$19K total
Format
Online
Schedule
Flexible
GRE / GMAT
Required
Concentrations
Deep Learning, Machine Learning

Typical admitted student: Applicants typically need a bachelor's degree in computer science, engineering, mathematics, or a related quantitative field, with a minimum GPA of 3.0. Some programs accept candidates with professional experience in tech roles and may waive formal prerequisites.

About This Program

An online certificate program designed to complement technical degrees with advanced study in machine intelligence and modern AI applications. Coursework concentrates on Deep Learning and Machine Learning. Most students complete it in about 1 year.

Estimated total tuition is $19.4K, above the $11.4K average for AI certificate programs in our database and in the 86th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

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 $128,000.

Career Outcomes

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

  • 1. Machine Learning Engineer
  • 2. AI Research Scientist
  • 3. Data Scientist
  • 4. AI Solutions Architect

What You'll Learn

  • Design, train, and evaluate machine learning models for real-world applications
  • Apply deep learning techniques to solve complex problems in computer vision and NLP
  • Implement and optimize AI systems using industry-standard tools and frameworks
  • Deploy machine learning models to production environments and monitor performance

Curriculum Highlights

The curriculum focuses on machine learning applications, data resource management, and modeling and optimization for data-intensive decision-making environments.

Top Employers

Top employers in machine learning and AI include Google, Microsoft, Meta, Amazon, OpenAI, NVIDIA, and IBM.

Admissions

Applicants typically need a bachelor's degree in computer science, engineering, mathematics, or a related quantitative field, with a minimum GPA of 3.0. Some programs accept candidates with professional experience in tech roles and may waive formal prerequisites.

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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