We follow the semester schedule as outlined in CMU’s official Academic Calendar. The next semester of this program will begin in January 2025. Specific class times for this certificate will be announced shortly before the start date.

The certificate can be completed in three semesters (Spring and Fall only) or approximately 12 months.

This certificate includes three graduate-level and credit-bearing courses taught by faculty in CMU’s Language Technologies Institute, which is housed within the School of Computer Science.

You only need to successfully complete all courses in the program if you want to earn the certificate. If you are only interested in one course, however, you may complete that course only and it will show on your transcript with the grade earned.  

The courses are delivered 100% online. Every week, you will take at least one live-online class with a CMU professor and complete complementary learning activities on your own to supplement the class discussions.

The certificate includes three graduate-level courses at 12 units each for a total of 36 units. This is generally equivalent to approximately 12 academic credits at other institutions.

Successful applicants will have an undergraduate degree in computer science, machine learning, data science, software engineering or a related field. Applicants should also be proficient in applied math (like calculus and linear algebra), statistics, Python, machine learning and deep learning. 

If applicants do not have formal training in Python, machine learning or deep learning, knowledge gained through self-study or work experience will be considered if the applicant can provide evidence of proficiency.

Ideally, applicants will have some relevant work experience in either computer science or a related field. Internships or other related work are also acceptable.

Besides the online application, applicants must submit a current resume, transcripts and a statement of purpose to be considered for enrollment.

No, this program does not require an application fee.

The next start date for this program is January 2025. All applicants who submit by the Priority Deadline of July 9, 2024 will receive a partial scholarship award. The final deadline to apply will be in December 2024; the specific date will be announced soon.

You can view the status of your application at any time in the application portal. A decision letter from Carnegie Mellon will be sent through the application portal within a few weeks of submitting your online application.

You’ll receive a decision letter within a few weeks of submitting your application.

No, a deposit is not required to secure your spot in the program.

The total investment for the Generative AI & Large Language Models certificate during the 2024-2025 academic year is $25,452. A breakdown of the tuition and fees can be found on the Admissions page. Partial scholarships are available. All applicants who apply by the priority deadline of July 9, 2024 will receive a partial scholarship award. Carnegie Mellon alumni are eligible for a scholarship to the Graduate Certificate in Generative AI & Large Language Models worth up to 20% of tuition. 

Yes. CMU offers a limited number of partial scholarships for admitted Generative AI & Large Language Models students. Applicants who apply by the Priority Deadline of July 9, 2024 will receive a partial scholarship award. Carnegie Mellon alumni are eligible for a scholarship to the Graduate Certificate in Generative AI & Large Language Models worth up to 20% of tuition.

Yes. CMU provides a monthly payment option, managed by Nelnet Campus Commerce, that is designed to help students spread out tuition payments into manageable monthly installments. This plan also offers the ease of online enrollment. If you are admitted into the program and choose to join us, we recommend registering for this plan early to fully benefit from the range of payment options available.

At this time, 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 FastChoice, a free loan comparison service to easily research options.

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, be sure to tell them 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.
• 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.
• Teaches you the latest advances in large language models systems, machine learning, natural language processing, and system research.
• Is delivered completely online, which means you can take classes on your own time while maintaining your normal work schedule.

Yes, the Graduate Certificate in Generative AI & Large Language Models is eligible for CMU tuition remission. See the CMU tuition remission policy to check your eligibility.