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Ready to apply? Here’s what you’ll need to complete the admissions process: 

✔ Complete the
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 Ò»±¾µÀÎÞÂë 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.

By enrolling in our graduate-level program, you'll be investing in your professional growth to prepare for the next wave of Generative AI solutions. We know this is a significant investment. Not just for you, but for your family as well.

Scholarships
To help offset the cost of tuition, and to make our program as accessible as possible, we offer a limited number of partial, merit-based scholarships. All applications will be evaluated for these awards automatically; there is no need to submit additional materials. If you are awarded a scholarship, you will be notified in your decision letter. 

In addition, Carnegie Mellon alumni are eligible for a scholarship to the Graduate Certificate in Generative AI & Large Language Models worth up to 20% of tuition. Indicate your alumni status within the application to be eligible.

So, what is the investment per course?
Below is a breakdown of our tuition for the 2024/2025 academic year:

• Large Language Models: Methods and Applications - in order to complete homeworks and activities, students will need to sign up for Amazon Web Services (AWS) or an equivalent service that offers access to A10g or similar GPUs. The AWS cost to complete assignments will range from $150-300 and will vary based on your usage. In addition, students will need to sign up for the OpenAI API. The cost to complete the assignments via OpenAI will be up to $25. Instructions for accessing both services will be provided when the class begins.
• Multimodal Machine Learning and Large Language Model Systems - AWS and/or OpenAI or other services may be required for these courses with fees up to $300 per course. More details will be available as you get closer to the course start date.

• A technology fee of approximately $235 will be assessed each semester (subject to change).

• If the program is not completed within that time frame, tuition may increase slightly for the following academic year.

Monthly Payment Plan

Ò»±¾µÀÎÞÂë provides a monthly payment option, managed by Nelnet Campus Commerce, designed to help students spread out tuition payments into manageable monthly installments. This plan also offers the ease of online enrollment. Should you be admitted and choose to join us, we recommend registering for this plan early to fully benefit from the range of payment options available.

Financial Aid & Private Loans

Students pursuing a graduate certificate are not eligible to receive federal financial aid. However, private loans are a viable alternative to consider with competitive interest rates and borrower benefits. See , a free loan comparison service to easily research options.

Employer Tuition Reimbursement

Many companies offer tuition reimbursement programs to foster professional development among their employees. We encourage you to contact your HR department to find out if similar opportunities exist at your workplace. 

When you speak to your employer, you can share that our program: 

• Consists of three transcripted, credit-bearing courses (not just continuing education units) taught by expert Carnegie Mellon professors from the nationally-ranked School of Computer Science.
• Teaches you the latest advances in large language model systems, machine learning, natural language processing, and system research.
• Prepares you to design and implement scalable systems for large language models and teaches you how to efficiently train them with huge data sets, which is critical for advancing AI.
• Trains you to determine the best model for a given task by evaluating the pros and cons of different models.
• Empowers you to solve sophisticated engineering problems with modern hardware and software stacks that can accommodate the scale of large language models.
• Is delivered completely online, which means you can take classes on your own time while maintaining your normal work schedule.

Not sure how to approach your employer? Need specific documents to proceed with enrollment? Call 412-501-2686 or send an email to apply@online.cmu.edu with your inquiries. If you’re ready to build new solutions with Generative AI, we’re here to help you make that a reality.

Ò»±¾µÀÎÞÂë EMPLOYEE TUITION REIMBURSEMENT

The Graduate Certificate in Generative AI & Large Language Models is eligible for Ò»±¾µÀÎÞÂë tuition remission. Review the Ò»±¾µÀÎÞÂë tuition remission policy to check your eligibility.

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).