CertificateOnline, HybridPart-Time

Columbia University in the City of New York

Certificate in Artificial Intelligence

New York, New York1.5 $22K 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 $22K in total tuition, the Certificate in Artificial Intelligence sits about 93% above the $11.4K average for AI certificate programs in our database β€” placing it in the 87th 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 AI Research Scientist
Job Growth+36%
Top RoleAI Engineer
FormatOnline, Hybrid

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$22K total
Format
Online, Hybrid
Schedule
Part-Time
GRE / GMAT
Not Required
Concentrations
Natural Language Processing (NLP), Deep Learning

Typical admitted student: Applicants should hold a bachelor's degree with a strong STEM background and prior programming experience, particularly in Python[1]. Familiarity with linear algebra, statistics, and algorithms is essential, as the program involves rigorous mathematical and theoretical content[1].

About This Program

This 18-month executive certificate program is designed to provide business and technical leaders with a deep understanding of AI strategy. Coursework concentrates on Natural Language Processing (NLP) and Deep Learning. Most students complete it in about 1.5 years.

Estimated total tuition is $22K, above the $11.4K average for AI certificate programs in our database and in the 87th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Build deep learning skills to advance as AI Engineer in Cross-Industry AI Graduates frequently move into roles such as AI Engineer, with reported salaries around $118,000.

Career Outcomes

Build deep learning skills to advance as AI Engineer in Cross-Industry AI

  • 1. Machine Learning Engineer
  • 2. AI Research Scientist
  • 3. AI Product Manager
  • 4. Data Scientist

What You'll Learn

  • Design, deploy, and evaluate AI and machine learning systems for real-world applications
  • Apply deep learning techniques, neural networks, and advanced algorithms to solve complex problems
  • Understand AI ethics, governance models, and responsible AI development practices
  • Develop expertise suitable for roles in ML engineering, AI research, and AI product development

Curriculum Highlights

The program includes six core courses covering AI fundamentals, machine learning, computer vision, robotics, and security and policy issues.

Top Employers

Top employers in AI include Google, Microsoft, OpenAI, Amazon, Meta, IBM, and major financial institutions and technology companies[1].

Admissions

Applicants should hold a bachelor's degree with a strong STEM background and prior programming experience, particularly in Python[1]. Familiarity with linear algebra, statistics, and algorithms is essential, as the program involves rigorous mathematical and theoretical content[1].

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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