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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 Risk and Opportunity
  • Deepfakes
  • Cybercrime
  • Ransomware and Cyber Extortion
  • Critical Infrastructure, AI, and Cybersecurity
  • AI Symposium  
    LIVE

Who Should Enroll:

  • 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
  • Anyone seeking to understand cybersecurity fundamentals

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Courses:

  • Designing Digital Healthcare Tools
  • Data Management in Healthcare
  • Machine Learning in Healthcare
  • Natural Language Processing in Healthcare

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
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 for Digital Transformation Elective Track
  • AI and Digital Technology: Opportunities and Pitfalls
  • Demystifying AI and Digital Technologies
  • AI and the Future of Work
  • Identifying New Business Models Enabled by AI
  • Creating a Digital Builder Culture
  • Data-Driven Leadership

Who Should Enroll:

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

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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
  • AI Symposium  
    LIVE

Who Should Enroll:

  • Professionals seeking fundamental AI skill development
  • Product managers and leaders
  • Early-career AI specialists
  • Data scientists
  • Tech enthusiasts
  • Entrepreneurs
  • Venture capitalists
  • C-suite leaders
  • Innovators and design thinkers
  • Anyone interested in applying AI and automation in their industry

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Courses:

  • Generative AI: Capabilities and Compromises
  • Working With Generative AI to Become More Effective
  • Using Generative AI to Transform Business Processes
  • Generative AI Law and Ethics
  • Derisking Generative AI Ventures
  • AI Symposium  
    LIVE

Who Should Enroll:

  • Organizational leaders
  • Entrepreneurs
  • Individual contributors
  • Anyone who wants to leverage AI to transform themselves and their organization

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Courses:

  • Machine Learning Foundations
  • Managing Data in Machine Learning
  • Training Common Machine Learning Models
  • Training Linear Models
  • Evaluating and Improving Your Model
  • Improving Performance With Ensemble Methods
  • Using Machine Learning for Text Analysis

Who Should Enroll:

  • Data scientists and data analysts
  • Programmers, developers, and software engineers
  • Statisticians
  • Product managers
  • Entrepreneurs
  • Working professionals seeking to upskill or career change

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Courses:

  • Introduction to AI
  • Knowledge-Based AI Technologies
  • Machine Learning and Data-Based Approaches to AI
  • Strategic Implementation of AI Systems
  • Societal Impacts of AI
  • The Future of AI
  • AI Symposium  
    LIVE

Who Should Enroll:

  • Managers and senior leaders across functions, including tech, operations, finance, and HR
  • Product managers and developers
  • Individuals focused on strategic change using evolving technology trends

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Courses:

  • Advanced Hotel Real Estate: Asset Management Strategy

Who Should Enroll:

  • Hospitality leaders seeking to apply AI in their organizations
  • Hospitality managers
  • Hospitality directors
  • Marketing professionals

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Courses:

  • Digital Transformation in Marketing
  • Assessing Opportunities in Paid Digital Media
  • Assessing Opportunities in Owned Digital Media
  • Marketing Automation and AI
  • Marketing Symposium  
    LIVE
  • AI Symposium  
    LIVE

Who Should Enroll:

  • Marketing managers
  • Content marketers
  • Marketing automation specialists
  • Product managers
  • Marketing data analysts
  • Brand managers
  • CMOs
  • Entrepreneurs

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Courses:

  • AI and Digital Technology: Opportunities and Pitfalls
  • Demystifying AI and Digital Technologies
  • AI and the Future of Work
  • Identifying New Business Models Enabled by AI
  • Creating a Digital Builder Culture
  • Data-Driven Leadership
  • AI Symposium  
    LIVE

Who Should Enroll:

  • C-suite executives
  • Leaders and managers across industries
  • CTOs and technology leaders
  • Business consultants
  • Intrapreneurs and entrepreneurs
  • Nonprofit leaders
  • Government leaders and policymakers
  • People interested in the digital transformation process

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