Apply to Advance your Expertise
Generative AI is revolutionizing the world’s technical capabilities and it will inevitably impact the way all organizations operate. Carnegie Mellon’s new online Graduate Certificate in Generative AI and Large Language Models will help you strengthen your skill set to capitalize on this technical revolution. When you complete the online certificate, you will be ready to pioneer new systems with the latest and most advanced expertise in Generative AI.
Is this the right program for you?
Let’s face it, pursuing any kind of advanced training is an investment of your time, energy and resources. Before you begin your application, take a moment to review the program requirements below.
Successful applicants will have:
- A bachelor’s degree in computer science or a related field
To successfully complete the coursework in this program, applicants should have an undergraduate degree in computer science, machine learning, data science, software engineering or a related field. - Proficiency in applied mathematics and statistics
Students should have successfully completed coursework in applied mathematics (such as calculus and linear algebra) and statistics. - Proficiency in Python
Students should have a foundation in algorithms and data structures and be proficient in Python. If students do not have formal training in Python, knowledge gained through self-study or work experience will be considered if the student can provide evidence of proficiency. - Proficiency in machine learning and deep learning concepts
Students should have familiarity with machine learning and deep learning. If students do not have formal training in these topics, knowledge gained through self-study or work experience will be considered if the students can provide evidence of proficiency. - A passion for learning and innovation
The coursework in this program provides in-depth explorations of complicated topics related to machine learning and large language models. To master these concepts, students will need a hunger to learn and an unwavering drive to build imaginative solutions for their organization.
If you have questions about the program or how it aligns with your background, please call 412-501-2686 or send an email to apply@online.cmu.edu with your inquiries.
Application Requirements
Ready to apply? Here’s what you’ll need to complete the admissions process:
✔ Complete the online application
Submit your application in the application portal.
✔ Submit your resume/CV
We’d like to learn more about your employment history, academic background, technical skills and professional achievements. Submit a 1 to 2 page resume or CV showcasing your experience.
✔ Submit your transcripts
Submit an unofficial copy of your transcript for each school you attended. Transcripts must include your name, the name of the college or university, the degree awarded (along with the conferral date), as well as the grade earned for each course. Email your transcripts directly to apply@online.cmu.edu. Please note: former Carnegie Mellon students and/or alumni can request a copy of their CMU transcript from The Hub.
✔ Upload a statement of purpose
Tell us your professional story. Where have you been and where do you hope to go? In 500 words or less, explain your objective for applying to this program and what you hope to gain from completing the coursework.
✔ Submit your TOEFL, IELTS, or DuoLingo test scores (if applicable)
An official TOEFL, IELTS, or DuoLingo test is required for non-native English speakers. This requirement will be waived, however, for applicants who either completed an in-residence bachelor’s, master’s, or doctoral degree program in the United Kingdom, United States, or Canada (excluding Quebec) or have at least three years of professional work experience using English as their primary language. If you fall into one of these categories, please include this information on your resume.
A Note for International Applicants
As part of a global university with locations and students from around the world, the School of Computer Science welcomes the diverse perspectives that international students bring to our programs.
To help ensure you are fully prepared for the admissions process and, if admitted, for success as a student, this section provides detailed information about requirements for international applicants.
The Graduate Certificate in Generative AI & Large Language Models considers for admission international applicants who reside within, or outside of, the domestic United States. International applicants who reside within or outside of the domestic United States are advised of the following information and additional requirements for international applicants to the program.
Student Visas
Since this program is fully online, enrollment in this program will not qualify students for any type of visa to enter or remain in the United States for any purpose.
U.S. Sanctions; U.S. Sanctioned Countries
Individuals who are the target of U.S. sanctions or who are ordinarily resident in a U.S. sanctioned country or who live or expect to live in a U.S. sanctioned country while participating in the program are not eligible for admission to this program due to legal restrictions/prohibitions and should not apply. U.S sanctioned countries are currently Cuba, Iran, North Korea, Russia, Syria and the following regions of Ukraine: Crimea, Donetsk and Luhansk. In addition, all or a portion of this program may not be available to individuals who are ordinarily resident of certain countries due to legal restrictions.
Applications received from these individuals will not be accepted. As well, if an individual is admitted to the program and subsequently, the individual becomes the target of U.S. sanctions, ordinarily resident of a U.S. sanctioned country or lives in a U.S. sanctioned country while participating in the program (or otherwise becomes ordinarily resident of country in which the program is not available due to legal restrictions), the individual’s continued enrollment in the program may be terminated and/or restricted (due to U.S. legal restrictions/ prohibitions) and the individual may not be able to complete the program.
Time and Attendance Requirement
Classes for the program will be taught in the U.S. Eastern Time Zone, and students must be available to attend all live classes, regardless of location.
Licensure in Various Jurisdictions
From time to time Carnegie Mellon reviews the licensing requirements of various jurisdictions in order to assess whether Carnegie Mellon may be precluded from making the program available to applicants that are residents of one or more of these jurisdictions prior to Carnegie Mellon obtaining the relevant license(s). Affected applicants from these jurisdictions, if any, will be notified prior to enrollment if the Carnegie Mellon determines that it is unable to make the program available to them for this reason.
Value Added Tax (VAT) and Other Taxes
The tuition, required fees and other amounts quoted for this program do not include charges for applicable Taxes (hereinafter defined). The student is responsible for payment of all applicable Taxes (if any) relating to the tuition, required fees and other amounts required to be paid to Carnegie Mellon for the program, including any Taxes payable as a result of the student’s payment of such Taxes.
Further, the student must timely make all payments due to Carnegie Mellon without deduction for Taxes, unless the deduction is required by law. If the student is required under applicable law to withhold Taxes from any payment due to Carnegie Mellon, the student is responsible for timely (i) paying to Carnegie Mellon such additional amounts as are necessary so that Carnegie Mellon receives the full amount that it would have received absent such withholding, and (ii) providing to Carnegie Mellon all documentation, if any, necessary to permit the student and/or Carnegie Mellon to claim the application of available tax treaty benefits (for Carnegie Mellon review and completion, if warranted and acceptable).
Taxes mean any taxes, governmental charges, duties, or similar additions or deductions of any kind, including all use, income, goods and services, value added, excise and withholding taxes assessed by or payable in the student’s country of residence and/or country of payment (but does not include any U.S. federal, state or local taxes).
So, why CMU?
We strive for excellence

We embrace iteration

We collaborate across disciplines

We pioneer new fields
