Logistics and FAQs

Where will the program take place?

This running of the program will be delivered in live online format via Zoom and other online technologies. There will be no in-person / on-campus component for this running of the program. Learners who purchase a seat in the program will receive a welcome email with more details about the program, including access to the online platforms.

If you are interested in future in-person / on-campus runnings of this program, please fill out this form.

If you are interested in a customized version of this program specifically for your organization, please contact ProfEd@seas.harvard.edu.

Is there an asynchronous (recorded) version of this program?

This program will be delivered in live online format via Zoom and other platforms, with session recordings also made available to participants. Participants must attend at least two online sessions in live (synchronous) format to receive the participation certificate. Learners who purchase a seat in the program will receive a welcome email with more details about the program, including access to the online platforms.

Will I receive a certificate for taking this program?

Participants who attend at least two online sessions in live (synchronous) format will receive a PDF participation certificate from the Harvard John A. Paulson School of Engineering and Applied Sciences.

When will I receive my participation certificate?

Participants who attend at least two online sessions in live (synchronous) format will receive a PDF participation certificate via email after the final program session has concluded.

Will I receive a grade for this program?

No, this program is a non-degree professional education course. The course is not credit-bearing.

My company/organization needs specific documentation from me in order to pay for or reimburse for this program. Can you help me?

Participants who attend at least two online sessions in live (synchronous) format will receive a PDF certificate of participation from the Harvard John A. Paulson School of Engineering and Applied Sciences as evidence of their attendance. For additional documentation needs, please contact us at ProfEd@seas.harvard.edu.

Are there discounts, scholarships, fellowships, or financial aid available for the program?

All individual participants pay $950. Discounts are available for groups of 3 or more participants from an organization. Contact ProfEd@seas.harvard.edu for assistance.

What is the refund policy if I need to cancel my registration?

Cancellation requests made through Tuesday, September 23, 2025, can be issued refunds in full. Cancellation requests received after Tuesday, September 23, 2025, are subject to a cancellation fee equal to the program fee. All requests for cancellations must be made in writing. To request a cancellation, please contact ProfEd@seas.harvard.edu. SEAS Professional Education reserves the right to decline refund requests.

I’d like to bring a group from our organization to the program. Can we do a group purchase?

Yes, and discounts are available for groups of 3 or more participants from an organization. For assistance with group purchases from an organization, please contact ProfEd@seas.harvard.edu.

Who should take this program?

Professionals in AI, developers interested in practical AI applications, and researchers can benefit from taking this course. This course is designed for learners from all types of organizations who want to increase their individual effectiveness or who have functional responsibilities, including:

Machine Learning Engineers
Data Scientists
Data Engineers
AI/ML Research Scientists
Natural Language Processing (NLP) Engineers
AI/ML Product Designers or Managers
Solutions Architects
Data Analysts
AI/ML Technical Program Managers
Content Strategists
Automation Engineers
Innovation Strategists
Chief Technology Officers
Anyone interested in advanced LLMs

What are the prerequisites for this program?

This is an advanced, hands-on technical course. Participants are expected to have the following background:

Programming Skills
- Proficiency in Python (essential for coding exercises and API usage)
- Familiarity with machine learning frameworks such as PyTorch or TensorFlow
Core AI & ML Knowledge
- Understanding of fundamental AI/ML concepts, including:
  - Supervised and unsupervised learning
  - Loss functions and optimization
  - Model evaluation metrics
Neural Network Experience
- Prior exposure to basic feed-forward neural network architectures
- Some acquaintance with deep learning frameworks like PyTorch or TensorFlow
API Integration Skills
- Basic experience using Python APIs to interact with external services
  (e.g., querying models, handling API responses)
Optional Recommended Skills: While not required, the following will enhance your experience:
- Working knowledge of Git and GitHub for version control
- Comfort using the command line for environment setup and script execution

I need special accommodations. Can you help me?

Harvard University welcomes individuals with disabilities to participate in its programs and activities. Learners seeking special accommodations can disclose their needs during the registration process or by contacting ProfEd@seas.harvard.edu. Requests for American Sign Language interpreters and/or CART providers should be made at least two weeks in advance, if possible. Please note that the University will make every effort to secure services, but that services are subject to availability.

Harvard University welcomes individuals with disabilities to participate in its programs and activities. If you would like to request accommodations or have questions about the access provided, please contact ProfEd@seas.harvard.edu in advance of your participation. Requests for American Sign Language interpreters and/or CART providers should be made at least two weeks in advance, if possible. Please note that the University will make every effort to secure services, but that services are subject to availability.

For more information, contact SEAS Professional Education at ProfEd@seas.harvard.edu.