Texas A&M University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in a STEM field such as computer science, engineering, or mathematics with a minimum GPA of 3.0 is required; relevant programming experience or coursework in data structures and algorithms is preferred.

About This Program

Built for both novices and seasoned professionals, this 100% online certificate provides the essential skills to harness AI and ML in professional fields.

Career Outcomes

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

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

What You'll Learn

• Fundamental principles of artificial intelligence and search algorithms
• Supervised and unsupervised machine learning techniques
• Design and training of deep neural networks
• Processing and analysis of natural language data

Curriculum Highlights

The program consists of 12 credits covering artificial intelligence, machine learning algorithms, and advanced deep learning frameworks.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and Meta, as well as AI-focused firms and research labs.

Admissions

A bachelor's degree in a STEM field such as computer science, engineering, or mathematics with a minimum GPA of 3.0 is required; relevant programming experience or coursework in data structures and algorithms is preferred.

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+)