Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with demonstrated programming experience in Python and familiarity with machine learning concepts.

About This Program

This 12-credit graduate certificate provides specialized knowledge in generative artificial intelligence for professionals aiming for high-demand roles in multiple sectors.

Career Outcomes

Gain artificial intelligence skills to advance as Deep Learning Engineer in Cross-Industry AI

1. Machine Learning Engineer
2. AI Research Scientist
3. Generative AI Specialist
4. Data Scientist (AI Focus)

What You'll Learn

Design and train deep neural networks for complex data patterns.
Build generative AI models including GANs and diffusion models.
Implement transformer architectures for sequence generation tasks.
Deploy scalable AI systems with optimization for production environments.

Curriculum Highlights

The curriculum includes required courses in machine learning, deep learning, and generative AI, plus an elective in computer vision or advanced machine learning.

Top Employers

Top employers include Google, Microsoft, OpenAI, NVIDIA, and major tech firms with AI divisions.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with demonstrated programming experience in Python and familiarity with machine learning concepts.

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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