Generative AI
For curious, capable professionals ready to build.
A generative AI certificate you can complete in as little as 8 months, 100% online and fully asynchronous. Four courses and sixteen credits move you from using AI tools to designing the systems behind them, with a credential that keeps the door open to a master's degree.
Graduate Certificate in Generative AI
from Northeastern University
Generative AI has moved past the demo stage. Organizations need people who can design, deploy, and optimize the systems, not just prompt the tools sitting on top.
In the Online Graduate Certificate in Generative AI, from Northeastern's College of Engineering, you'll work with the mathematics, modeling, and applied natural language processing skills behind these systems. Four courses and sixteen credits in as little as 8 months. Same College of Engineering faculty and curriculum as the MS in Data Analytics Engineering, at a fraction of the time and cost.
The certificate stacks directly into the MS in Data Analytics Engineering. Continue, and you arrive at your master's with a credential already in hand and half of your degree complete.
Learn how Stack Track works →- CredentialGraduate Certificate
- ProgramGenerative AI
- CollegeCollege of Engineering
- UniversityNortheastern University
You'll receive an official Northeastern University certificate and a transcript notation, the same documentation the institution issues for any of its graduate credentials.
No reference to "online" or "distance" anywhere on your certificate or transcript.
The $5,250 total tuition is intentionally aligned with the IRS Section 127 limit for employer-provided education assistance. Many employers can reimburse the full cost of this certificate, tax-free, before you pay a dollar out of pocket. Employer reimbursement toolkit →
Full details at Tuition & payment details →
Federal financial aid is not available for this certificate program. Employer reimbursement, military benefits, and payment plans may apply. Payment plans available through Northeastern Student Financial Services.
At $5,250 total, this certificate aligns with most employer reimbursement programs. Employer reimbursement toolkit →
Earn a B or better in each course and all 16 credits apply toward the MS in Data Analytics Engineering, saving $7,400 on the master's by stacking. See Stack Track →
A Generative AI Certificate That Moves at Your Pace.
Generative AI expertise is in short supply relative to demand, and organizations need people who can build these systems now, not after a multi-year degree. This certificate gets you to a Northeastern University College of Engineering credential in as little as eight months.
A credential employers recognize.
This certificate carries the reputation of Northeastern University's College of Engineering, ranked in the Top 40 by U.S. News & World Report, 2026. You walk away with an official Northeastern University certificate and transcript notation, the same documentation the institution issues for all of its graduate credentials. Same faculty. Same standard.
Tuition aligned with employer reimbursement.
The $5,250 total isn't an accident. It matches the IRS Section 127 limit for tax-free employer-provided education assistance, meaning many students complete the certificate without paying anything out of pocket. Employer reimbursement toolkit →
Every credit carries forward.
All 16 credits stack directly into the MS in Data Analytics Engineering as long as you earn a B or better in each course. The certificate is half the credits and roughly half the timeline of the full 32-credit, 16–32 month degree. If you decide to continue, you arrive at your master's already halfway through the program, with a Northeastern credential already in hand.
Roles, Salaries, and Job Growth in Generative AI.
Generative AI sits at the center of a hiring gap: organizations across technology, finance, healthcare, and manufacturing need people who can build these systems, and qualified candidates haven't caught up yet. This certificate prepares graduates for roles across model development, natural language processing, and generative systems engineering. Common titles include Machine Learning Engineer, Data Scientist, and AI Research Scientist. These roles are accessible at the certificate level; the full MSDAE is not required to pursue them.
Machine learning and generative AI engineering roles are most closely classified under software developers (BLS OEWS, May 2024, 15% projected growth through 2034). Data scientist roles report 34% projected growth, among the fastest of any BLS-tracked occupation. Advanced generative AI research roles align most closely with computer and information research scientists (20% projected growth).
Salary figures represent national median wages across all experience levels. Source: U.S. Bureau of Labor Statistics, May 2024. Figures do not reflect expected starting salaries.
Skills Employers Are Hiring for
in Generative AI.
From the mathematics underneath every model to the natural language systems built on top of it, every skill in this certificate ties to a capability employers are hiring for right now.
Mathematical Foundations for Machine Learning
Apply the linear algebra, probability, and optimization theory underneath every generative model, the mathematical core that makes AI systems work.
Generative AI Systems Design
Design, build, and deploy generative AI systems in practice, from architecture decisions through real-world implementation.
Deep Generative Modeling
Work directly with the architectures driving generative AI: Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), diffusion models, and the transformer-based methods behind today's large-scale systems.
Applied Natural Language Processing (NLP)
Build NLP systems that work across domains and disciplines, from text generation to language understanding in interdisciplinary, real-world contexts.
Model Evaluation & Optimization
Tune generative models for performance, efficiency, and reliability, the difference between a model that works in a test environment and one that works in production.
Cross-Industry AI Application
Apply generative methods to problems in automation, infrastructure, healthcare, and manufacturing.
Generative AI Curriculum.
Four Courses, All Required.
Every course builds toward the same outcome: the technical ability to take a generative AI system from architecture to production.
Faculty Who Work in the
Industry They Teach.
"My research centers on the practical use of ML and NLP, with an emphasis on real-world applications in healthcare and the essential area of healthcare cybersecurity."
The Online Graduate Certificate in Generative AI is taught by Northeastern University College of Engineering faculty, the same researchers and practitioners who teach the on-ground program and the Online MS in Data Analytics Engineering. Your instructors aren't observing their fields. They're working in them.
Your Path to a Master's
Degree.
Earn a B or better in each certificate course and your full 16 credits apply directly toward a Northeastern master's degree. You don't have to decide now. Earn the certificate, then continue on your timeline.
Stack into the Online MS in Data Analytics Engineering
The MSDAE is a 32-credit graduate degree from Northeastern's College of Engineering, a top 40 engineering school per U.S. News & World Report. Earn a B or better in each of your four certificate courses and all 16 credits apply directly toward the MSDAE, leaving 16 credits to complete the full master's.
You arrive at the MSDAE with a Northeastern credential already on your résumé and half of your degree complete.
Stacking requires a B or better in each certificate course. Subject to admission to the master's program.
Earn the cert. Stack into a degree on your timeline.
Stack Track is the bridge between certificate and degree across Northeastern Online. See how it works, which master's programs are eligible, and the GPA you need to qualify.
Why Northeastern Online?
Here's What Makes It Different.
How to Join the Online Graduate Certificate
in Generative AI.
The Fast App is the streamlined admissions path for Northeastern Online certificate programs. No GRE, no essays, no application fee. All you need is a bachelor's degree in any field.
Frequently Asked Questions.
Yes. This is an institutional Northeastern University credential. It will appear on your official transcript exactly as issued, with no reference to "online" or "distance."
Yes. It is a Northeastern University credential, issued directly by the institution. Same College of Engineering, same faculty, same standards as any graduate certificate Northeastern issues.
Yes. Earn a B or better in each certificate course and all 16 credits apply toward the Online MS in Data Analytics Engineering. See Stack Track →
No. This certificate does not accept transfer credits. All four courses must be completed at Northeastern.
Note that this is separate from stacking. Credits you earn in the certificate do carry forward into the Online MS in Data Analytics Engineering, but credits earned elsewhere cannot be applied toward the certificate itself.
Federal financial aid is not available for this certificate program. Employer reimbursement, military benefits, and payment plans may apply. Sign up for a payment plan at Northeastern Student Financial Services.
At $5,250 total, this certificate aligns with most employer reimbursement programs. Employer reimbursement toolkit →
No. The Fast App requires no GRE, no GMAT, no essays, and no application fee.
As little as 8 months taking two courses per term, or up to 16 months at one course per term. The program is fully asynchronous. You only pay when enrolled, and you can pause between terms without penalty.
Yes. The program is 100% online and fully asynchronous, with no set class times and no required commute.
The certificate is four of the MSDAE's core courses: 16 credits, 8–16 months, $5,250, with no full-degree commitment required. The MS in Data Analytics Engineering is the full 32-credit degree. If you complete the certificate with a B or better in each course, all 16 credits transfer directly into the MSDAE, so the certificate can serve as a lower-commitment first step rather than a separate decision from the degree.
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