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Stanford University | Online Artificial Intelligence Graduate Certificate

  • Stanford
About This Program

This professional graduate certificate provides foundational and advanced training in the principles and practical applications of modern artificial intelligence.

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What You'll Learn

Students master key techniques in machine learning, natural language processing, and the implementation of intelligent algorithms in various industries.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program requires completion of four graduate courses chosen from topics like machine learning, robotics, and computer vision.
Typical Course Topics
1. Supervised Machine Learning: Regression and Classification 2. Unsupervised Learning, Recommenders, Reinforcement Learning 3. Advanced Learning Algorithms 4. Probabilistic Graphical Models 5. Deep Learning and Neural Networks
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree with some programming experience (Python preferred) and background in linear algebra and calculus is recommended for this graduate-level AI certificate.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Gain machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI/ML Engineer 2. Data Scientist 3. AI Product Manager 4. Machine Learning Specialist
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, and Meta.
Explore AI Career Paths
Program Details
Duration
  • 0.75 Year
Tuition
  • 18,900
Format
Online
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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