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AI Certificate Programs

In every industry, AI is revolutionizing the way businesses operate, compete and thrive. Cornell offers several online certificate programs developed by expert faculty to provide you with the opportunity to learn today’s leading-edge practices for leveraging AI and Generative AI in your work. Whether you’re a business leader, marketer or software developer, choose a program that meets your needs and equip yourself with innovative solutions and data-driven strategies for success in today’s fast-moving AI era.

Courses:

  • AI in Finance

Who Should Enroll:

  • Banking Leaders driving AI initiatives in credit risk assessment, fraud detection, algorithmic trading, and digital banking transformation
  • Investment Banking & Advisory Leaders advising clients across banking, insurance, and asset management on AI-driven M&A opportunities, digital transformation strategies, and fintech partnerships
  • Fintech & Financial Innovation Executives building AI-powered solutions for payments, lending, wealth management, and regulatory compliance
  • Asset Management Professionals implementing AI for systematic investing, risk management, client reporting, and operational efficiency
  • Insurance Executives leveraging AI for risk modeling, automated claims processing, personalized pricing, and customer experience enhancement

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Courses:

  • LLM Tools, Platforms, and Prompts
  • Language Models and Next-Word Prediction
  • Fine-Tuning LLMs
  • Language Models and Language Data
  • LLM Architectures and Embeddings
  • AI Workshops All-Access Pass

Who Should Enroll:

  • Engineers
  • Developers
  • Analysts
  • Data scientists
  • AI engineers
  • Entrepreneurs
  • Data journalists
  • Product managers
  • Researchers
  • Policymakers
  • Legal professionals

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Courses:

  • AI Risk and Opportunity
  • Deepfakes
  • Cybercrime
  • Ransomware and Cyber Extortion
  • Critical Infrastructure, AI, and Cybersecurity
  • AI Symposium  
    LIVE
  • AI Workshops All-Access Pass

Who Should Enroll:

  • Anyone seeking to understand cybersecurity fundamentals
  • C-suite executives, board members, and policy makers
  • General counsel and legal advisors
  • Directors and VPs in cybersecurity, information security, and crisis management
  • AI engineers and developers
  • Data scientists and analysts
  • Business strategists and consultants
  • Compliance officers
  • Infrastructure and regulatory professionals in public and private sectors

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Courses:

  • Designing Digital Healthcare Tools
  • Data Management in Healthcare
  • Machine Learning in Healthcare
  • Natural Language Processing in Healthcare
  • AI Workshops All-Access Pass

Who Should Enroll:

  • Data scientists
  • Medical and health services managers
  • Database and IT data architects
  • Data engineers
  • Digital transformation managers
  • Clinicians with experience in informatics
  • Biomedical and clinical informatics fellows
  • Aspiring medical database managers or administrators

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Courses:

Core Courses
  • Creating Business Value With AI
  • Exploring Good Old-Fashioned AI
  • Leveraging Data for AI Solutions
  • Expanding AI Power and Value Through Neural Networks
  • Innovating With Generative AI
  • Understanding Data Analytics
  • Finding Patterns in Data Using Association Rules, PCA, and Factor Analysis
  • Finding Patterns in Data Using Cluster and Hotspot Analysis
  • Regression Analysis and Discrete Choice Models
  • Supervised Learning Techniques
  • Neural Networks and Machine Learning
  • Problem-Solving with Machine Learning
  • Estimating Probability Distributions
  • Learning with Linear Classifiers
  • Decision Trees and Model Selection
  • Debugging and Improving Machine Learning Models
  • Learning with Kernel Machines
  • Deep Learning and Neural Networks
  • Linear Algebra: Low Dimension
  • Matrix and Linear Algebra: High Dimension
  • AI Symposium  
    LIVE
  • AI Workshops All-Access Pass
Natural Language Processing With Python Elective Track
  • Natural Language Processing Fundamentals
  • Transforming Text Into Numeric Vectors
  • Classifying Documents With Supervised Machine Learning
  • Topic Modeling With Unsupervised Machine Learning
  • Clustering Documents With Unsupervised Machine Learning
  • Conducting Semantic and Sentiment Analysis
AI Strategy Elective Track
  • Catalyzing AI Transformation From Capabilities to Vision
  • Rewiring Jobs, Workflows, and Organizations With AI
  • Driving AI-Powered Growth With New Products and Business Models
  • Designing, Derisking, and Delivering an AI Transformation Portfolio
  • Derisking Generative AI Ventures
  • Interpreting and Communicating Data

Who Should Enroll:

  • Programmers
  • Developers
  • Data analysts
  • Engineers
  • Data scientists
  • Software engineers

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Courses:

  • Catalyzing AI Transformation From Capabilities to Vision
  • Rewiring Jobs, Workflows, and Organizations With AI
  • Driving AI-Powered Growth With New Products and Business Models
  • Designing, Derisking, and Delivering an AI Transformation Portfolio
  • AI Symposium  
    LIVE
  • AI Workshops All-Access Pass

Who Should Enroll:

  • C-suite executives
  • Managers and senior leaders across functions, including tech, operations, finance, and HR
  • CTOs and technology leaders
  • Product managers and developers
  • Nonprofit leaders
  • Government leaders and policymakers
  • Individuals focused on strategic change using evolving technology trends

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How It Works