CertificateOnlineFlexible

Maryville University of Saint Louis

Advanced AI Certificate

St. Louis, Missouri1 years$11K 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 $10.5K in total tuition, the Advanced AI Certificate sits roughly 8% below the $11.4K average for AI certificate programs in our database β€” placing it in the 56th 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 Engineer
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$11K total
Format
Online
Schedule
Flexible
GRE / GMAT
Not Required
Concentrations
Natural Language Processing (NLP), Machine Learning

Typical admitted student: A bachelor's degree in a related field such as computer science, mathematics, or engineering is required, along with a minimum GPA of 3.0 and foundational programming skills in Python. Prerequisites like college algebra or equivalent math coursework are often needed.

About This Program

This graduate-level program builds upon foundational knowledge to introduce students to sophisticated neural network techniques and advanced machine learning technologies. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. Most students complete it in about 1 year.

Estimated total tuition is $10.5K, below the $11.4K average for AI certificate programs in our database and in the 56th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Gain natural language processing skills to advance as AI Engineer in Cross-Industry AI Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Career Outcomes

Gain natural language processing skills to advance as AI Engineer in Cross-Industry AI

  • 1. Machine Learning Engineer
  • 2. AI Data Scientist
  • 3. Computer Vision Specialist
  • 4. NLP Developer

What You'll Learn

  • Implement machine learning models using supervised and unsupervised techniques.
  • Develop deep neural networks for complex data processing.
  • Apply natural language processing to real-world text analysis tasks.
  • Build computer vision systems for image recognition and analysis.

Curriculum Highlights

This 12-credit program requires the Fundamentals of AI certificate as a prerequisite and features core courses in deep learning and reinforcement learning.

Top Employers

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

Admissions

A bachelor's degree in a related field such as computer science, mathematics, or engineering is required, along with a minimum GPA of 3.0 and foundational programming skills in Python. Prerequisites like college algebra or equivalent math coursework are often needed.

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: Not Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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