CertificateOnlinePart-Time

Stanford University

Online Graduate Certificate in Artificial Intelligence

Stanford, California1 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 $18.9K in total tuition, the Online Graduate Certificate in Artificial Intelligence sits about 65% above the $11.4K average for AI certificate programs in our database β€” placing it in the 85th 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$120,000
Job Growth+23%
Top RoleAI Research Scientist
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$19K total
Format
Online
Schedule
Part-Time
GRE / GMAT
Not Required
Concentrations
Deep Learning, Natural Language Processing (NLP)

Typical admitted student: Requires a bachelor's degree in a related field such as computer science, engineering, or mathematics, with a minimum GPA of 3.0; programming experience in Python and background in linear algebra and calculus are typically expected.

About This Program

This flexible online program is designed for working professionals seeking to gain a credential in the rapidly evolving field of AI. Coursework concentrates on Deep Learning and Natural Language Processing (NLP). Most students complete it in about 1 year.

Estimated total tuition is $18.9K, above the $11.4K average for AI certificate programs in our database and in the 85th 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 AI Research Scientist in Cross-Industry AI Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $120,000.

Career Outcomes

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

  • 1. AI Engineer
  • 2. Machine Learning Specialist
  • 3. Data Scientist
  • 4. AI Research Analyst

What You'll Learn

  • Implement supervised and unsupervised machine learning algorithms for real-world data.
  • Design and train deep neural networks for tasks like image recognition and sequence modeling.
  • Apply reinforcement learning techniques to optimization and decision-making problems.
  • Develop AI systems with ethical considerations, bias mitigation, and responsible deployment.

Curriculum Highlights

The curriculum offers a selection of graduate-level computer science courses covering search, reasoning, machine learning, and intelligent systems.

Top Employers

Top employers include Google, Microsoft, Amazon, and Meta.

Admissions

Requires a bachelor's degree in a related field such as computer science, engineering, or mathematics, with a minimum GPA of 3.0; programming experience in Python and background in linear algebra and calculus are typically expected.

Application Materials

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

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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