TX

Certificates in AI
Online

The University of Texas at Austin

Online Graduate Certificate in Artificial Intelligence and Machine Learning

  • Austin
About This Program

This program is designed for working professionals seeking to gain a competitive edge by mastering modern AI and machine learning techniques.

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What You'll Learn

Participants acquire expertise in supervised and unsupervised learning, statistical modeling, and the ethical design of autonomous systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 12-credit-hour program involves two core courses and two electives chosen from a portfolio including AI in healthcare and planning.
Typical Course Topics
1. Introduction to Artificial Intelligence 2. Machine Learning Fundamentals 3. Deep Learning 4. Natural Language Processing 5. Computer Vision 6. Reinforcement Learning
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in a STEM field, computer science, or related discipline with a minimum GPA of 3.0 is typically required; relevant programming experience or coursework in Python, linear algebra, and statistics is often preferred or prerequisite.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

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

Estimated Industry Salary
AI/ML Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Data Scientist 3. NLP Specialist 4. Computer Vision Engineer
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Amazon, Microsoft, and Meta, as well as consulting firms and AI startups.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 5,000
Format
Online
Specializations
Machine Learning
Official Resources
Program Website
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