Uploaded August 2026 | Updated September 2026, 2 weeks ago
Three people. Three different backgrounds. One master's degree in AI.
Watch Nhan Le, Christopher O'Hara, and Sabrina Palis — all graduates of the Master of Science in Artificial Intelligence offered through the Udacity Institute of AI & Technology — talk through exactly what the program was like and what it has done for them since graduating.
In this panel, they cover:
-Their decision to pursue this master's program
-How they balanced a demanding degree with full-time work and life
-What the core curriculum actually looks like — from deep learning to autonomous systems to generative AI
-What they built for their capstone projects and how those projects have already opened doors professionally
-Whether the degre accreditation holds up in the real job market
About the panelists:
Nhan Le — Data quality analyst at Meta. Came from a business and information systems background with no computer science degree. Now admitted to a doctoral program focused on machine learning.
Christopher O'Hara — Holds a PDEng in software technology and a PhD in aeronautics and astronautics. Had deep applied AI experience but was not getting callbacks for AI roles until after earning his MSc AI.
Sabrina Palis — Former teacher turned AI and data science specialist. Since graduating, she has been appointed to teach AI at the bachelor's level and become a certified evaluator and juror for generative AI certifications in France.
Learn more about Udacity's master's in AI: udacity.com/masters-artificial-intelligence
Three people. Three different backgrounds. One master's degree in AI.
Watch Nhan Le, Christopher O'Hara, and Sabrina Palis — all graduates of the Master of Science in Artificial Intelligence offered through the Udacity Institute of AI & Technology — talk through exactly what the program was like and what it has done for them since graduating.
In this panel, they cover:
-Their decision to pursue this master's program
-How they balanced a demanding degree with full-time work and life
-What the core curriculum actually looks like — from deep learning to autonomous systems to generative AI
-What they built for their capstone projects and how those projects have already opened doors professionally
-Whether the degre accreditation holds up in the real job market
About the panelists:
Nhan Le — Data quality analyst at Meta. Came from a business and information systems background with no computer science degree. Now admitted to a doctoral program focused on machine learning.
Christopher O'Hara — Holds a PDEng in software technology and a PhD in aeronautics and astronautics. Had deep applied AI experience but was not getting callbacks for AI roles until after earning his MSc AI.
Sabrina Palis — Former teacher turned AI and data science specialist. Since graduating, she has been appointed to teach AI at the bachelor's level and become a certified evaluator and juror for generative AI certifications in France.
Learn more about Udacity's master's in AI: udacity.com/masters-artificial-intelligence
