Artificial Intelligence Professional Program
| Program start date | Application deadline |
| 2026-01-26 | - |
| 2026-02-02 | - |
| 2026-02-09 | - |
| 2026-02-23 | - |
| 2026-03-09 | - |
| 2026-04-13 | - |
| 2026-04-20 | - |
| 2026-03-23 | - |
| 2027-01-26 | - |
| 2027-02-02 | - |
| 2027-02-09 | - |
| 2027-02-23 | - |
| 2027-03-09 | - |
| 2027-04-13 | - |
| 2027-04-20 | - |
| 2027-03-23 | - |
Program Overview
Overview of the Artificial Intelligence Professional Program
The Artificial Intelligence Professional Program is designed to equip participants with knowledge of the principles, tools, techniques, and technologies driving the transformation of artificial intelligence. This online program provides rigorous coverage of the most important topics in modern artificial intelligence, including machine learning, deep learning, natural language processing, supervised and unsupervised learning, reinforcement learning, graph neural networks (GNNs), and computer vision.
Program Details
- Tuition: $1,950 per course
- Time to Complete: 10 weeks per course, 10-15 hours per week
- Delivery Methods: 100% Online, on-demand, live
- Teaching Team: The program is taught by Stanford faculty who are leading experts in their fields.
What You Can Expect
- Depth and Breadth of Content: Course content is adapted from Stanford's on-campus graduate courses, allowing working professionals to explore AI topics at graduate-level depth, but with flexibility of schedule and scope.
- Online Lectures and Auto-graded Coding Assignments: In each 10-week course, participants will watch recorded lectures and work on coding and written assignments.
- Personalized Support: Participants will have a dedicated course facilitator available to address their questions through 1-on-1 calls, group office hours, Slack, or email.
- Community: Participants will join 100+ other learners eager to build their AI knowledge and skills, with opportunities to create study groups and learn from each other.
Courses
The program includes a variety of courses, such as:
- Deep Generative Models
- Deep Reinforcement Learning
- Deep Learning for Computer Vision
- Natural Language Processing with Deep Learning
- Artificial Intelligence: Principles and Techniques
- Machine Learning
- Reinforcement Learning
- Machine Learning with Graphs
Flexible Enrollment Options
- Individual Enrollments: $1,950 per course
- Groups and Teams: Special pricing for groups of five or more
What You'll Earn
Participants will earn a Stanford Professional Certificate in Artificial Intelligence when they successfully complete either:
- Three courses in the AI professional education program, or
- Two courses in the AI professional education program and one course in the AI Graduate Program
Teaching Team
The teaching team includes:
- Christopher Manning: Thomas M. Siebel Professor of Machine Learning, Computer Science
- Ehsan Adeli: Assistant Professor, Psychiatry and Computer Science
- Emma Brunskill: Associate Professor, Computer Science
- Stefano Ermon: Associate Professor, Computer Science
- Chelsea Finn: Assistant Professor, Computer Science
- Jure Leskovec: Professor, Computer Science
- Fei-Fei Li: Sequoia Capital Professor, Computer Science
- Percy Liang: Associate Professor, Computer Science
- Tengyu Ma: Assistant Professor, Computer Science
- Christopher Ré: Associate Professor, Computer Science
- Dorsa Sadigh: Assistant Professor, Computer Science
Academic Director
- Christopher Manning: Thomas M. Siebel Professor of Machine Learning, Computer Science
What Our Learners Are Saying
The AI Professional Program has been a rigorous and rewarding experience for me, providing a strong foundation in cutting-edge technologies taught by renowned researchers and educators from Stanford. Despite the challenges of balancing a full-time job, I dedicated early mornings, late nights, and weekends to successfully complete the program. As I reached the end of the program, I felt exhausted but fulfilled.
During my last course, I became interested in the application of meta-learning to supply chain challenges. This led me to write a paper on the topic, which was accepted by the prestigious IEEE International Conference on Artificial Intelligence 2023.
- Beilei Z., Data Scientist, Intel Corp.
