Artificial Intelligence Graduate Certificate at Stanford University

Artificial Intelligence Graduate Certificate

Certificate degree at Stanford University

Program Details
Certificate Degree
2.0 Years
Online Program
Program Cost

USD 21,653

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Explore the Artificial Intelligence Graduate Certificate program at Stanford University. This program is offered in USA and provides an excellent learning opportunity in Certificate studies.

The Artificial Intelligence Graduate Certificate from Stanford University is designed for professionals seeking to deepen their understanding of AI principles and methodologies. This program, delivered online and instructor-led, allows students to complete four graduate courses within a maximum of three academic years. Participants must complete at least one required course, such as 'Machine Learning' or 'Artificial Intelligence: Principles and Techniques', and can choose up to three electives from a diverse selection, including 'Deep Learning for Computer Vision' and 'Natural Language Processing with Deep Learning'. The program is highly flexible, accommodating various interests in AI, including natural language processing, robotics, and data mining. Students typically invest 15-20 hours per week on coursework, and most complete the certificate in 1-2 years. Upon successful completion, students earn a Stanford Graduate Certificate, which is accredited and can be applied towards relevant graduate degree programs.

University
Stanford University
University Location
USA (Online)
Program Duration
2.0 years
Ranking
#6
Part-time allowed
Yes

Required Courses
  • Machine Learning (CS229)
  • Artificial Intelligence: Principles and Techniques (CS221)
Elective Courses
  • Mining Massive Data Sets (CS246)
  • Deep Multi-task and Meta Learning (CS330)
  • Principles of Robot Autonomy II (CS237B)
  • Deep Generative Models (CS236)
  • Reinforcement Learning (CS234)
  • Deep Learning for Computer Vision (CS231N)
  • Computer Vision: From 3D Reconstruction to Recognition (CS231A)
  • Deep Learning (CS230)
  • Probabilistic Graphical Models: Principles and Techniques (CS228)
  • Machine Learning with Graphs (CS224W)
  • Natural Language Understanding (CS224U)
  • Deep Reinforcement Learning (CS224R)
  • Natural Language Processing with Deep Learning (CS224N)
  • Introduction to Robotics (CS223A)
  • Continuous Mathematical Methods with an Emphasis on Machine Learning (CS205L)
  • Computational Logic (CS157)
  • Principles of Robot Autonomy I (CS237A)
  • Decision Making Under Uncertainty (AA228)
Online Program

This program can be completed entirely online.