CertificateOnlineFlexible

Arizona State University

Online Professional Certification in Computer Science – AI & ML

Tempe, Arizona0.75 $8K 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 — see our methodology.

How this program compares

At an estimated $7.8K in total tuition, the Online Professional Certification in Computer Science – AI & ML sits roughly 31% below the $11.4K average for AI certificate programs in our database — placing it in the 41st 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 RoleMachine Learning Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
0.75 years
Est. Tuition
$8K total
Format
Online
Schedule
Flexible
GRE / GMAT
Not Required
Concentrations
Machine Learning, Deep Learning

Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with programming experience is typically required; relevant professional background or prerequisite courses in statistics and Python may also be needed.

About This Program

This online certification program enables professionals to earn graduate-level credits while building a portfolio of work in artificial intelligence and advanced machine learning techniques. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 0.75 years.

Estimated total tuition is $7.8K, below the $11.4K average for AI certificate programs in our database and in the 41st 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 $120,000.

Career Outcomes

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

  • 1. AI/ML Engineer
  • 2. Data Scientist
  • 3. Machine Learning Specialist
  • 4. AI Developer

What You'll Learn

  • Implement machine learning algorithms for predictive modeling
  • Develop deep learning models using frameworks like TensorFlow
  • Analyze and preprocess large datasets for AI applications
  • Apply ethical principles to AI system design and deployment

Curriculum Highlights

The curriculum requires the successful completion of three specialized courses, including Artificial Intelligence and Deep Learning in Visual Computing, applicable toward a master's degree.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and IBM.

Admissions

A bachelor's degree in computer science, engineering, or a related field with programming experience is typically required; relevant professional background or prerequisite courses in statistics and Python may also be needed.

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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