A graduate professional certificate is earned through the completion of eight full online courses (over 20 weeks) with a C (70%) or passing grade or above. Each term is designed with four courses lasting ten weeks. For any individual without a background in programming, Python Fundamentals I and II will be compulsory courses, except for the AI Proficiency Bootcamp.

Core Certificate and AI Proficiency Bootcamp (Programming-Free) requirements include two courses per term over two 10-week terms, totalling four courses spread across 20 weeks.

Advanced Certificate requirements include four courses per term over two 10-week terms, totalling eight courses spread across 20 weeks.

Register for Core Certificate – $24/week

Register for AI Proficiency Bootcamp – $24/week

Register for Advanced Certificate – $48/week

Currently accepting applications for new cohorts starting every week.

Course Catalog

Current for all programs starting 2026
Last updated December 7, 2025

Core Courses (by program)

• Machine Learning and AI Engineering
  • Python for Machine Learning
  • Neural Networks and Deep Learning
  • 2 Electives

• Computer Vision & Image-Based ML
  • Python for Machine Learning
  • Visual ML
  • Generative AI Applications
  • 1 Elective

• Business Analytics, and Decision Systems
  • Market Analytics with Machine Learning
  • Marketing and Business Applications
  • Data Visualization
  • 1 Elective

• Natural Language Processing
  • Python for Machine Learning
  • NLP Applications
  • Text Mining Techniques
  • 1 Elective

• AI Profiency Bootcamp (Programming Free)
  • Fundamentals of AI and Machine Learning
  • Blockchain and Cryptocurrencies
  • Generative AI Applications
  • Applied AI and Machine Learning

• Psychometrics and Computational Social Science
  • Psychometrics in Python
  • Quantum Social Science
  • Quantitative and Qualitative Data Processing
  • Computational Social Science Research

• Machine-Learning and Computational Chemistry
  • Neural Networks and Deep Learning
  • Computational Geochemistry and Astrochemistry OR
    ML for Geology, Mining, and Geological Engineering
  • Molecular Modeling Applications for Drug Development
  • 0-1 Electives

Elective Courses

Applied Python for Statistics
Blockchain and Cryptocurrencies
Computational Geochemistry and Astrochemistry
Computational Social Science Research
Cryptography and Machine Learning
Data Visualization
Fundamentals of Python I
Fundamentals of Python II
General Machine Learning
Generative AI Applications
LLM Fundamentals and Applications
ML for Geology, Mining, and Geological Engineering
Machine Learning Research Methods I
Machine Learning Research Methods II
Market Analytics with Machine Learning
Marketing and Business Applications
Mathematic Visualization in Python
Molecular Modeling Applications for Drug Development
Neural Networks and Deep Learning (Second term only)
NLP Applications (Second term only)
Predictive Functions
Psychometrics in Python
Python Fundamentals I
Python Fundamentals II
Quantitative and Qualitative Data Processing
Quantum Social Science
Statistical Operations
Text Mining Techniques
Text Mining and NLP in Mandarin Chinese
Visual ML (Second term only)