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Machine Learning
Courses
  • 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
  • Generative AI and Transformer Models
  • Linear Algebra: Low Dimension
  • Matrix and Linear Algebra: High Dimension
Designed For
  • Programmers
  • Developers
  • Data analysts
  • Statisticians
  • Data scientists
  • Software engineers
Format
All Online

Time Commitment
4 months with 6 to 9 hours of study per week
AI 360
Courses
  • Linear Algebra: Low Dimension
  • Matrix and Linear Algebra: High Dimension
  • AI Symposium  
    LIVE
  • 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
  • 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
  • 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
Designed For
  • Programmers
  • Developers
  • Data analysts
  • Engineers
  • Data scientists
  • Software engineers
Format
All Online

Time Commitment
16 months with varying hours of study per week
AI in Healthcare
Courses
  • Designing Digital Healthcare Tools
  • Data Management in Healthcare
  • Machine Learning in Healthcare
  • Natural Language Processing in Healthcare
  • AI Workshops All-Access Pass
Designed For
  • 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
Format
All Online

Time Commitment
2 months with 5 to 7 hours of study per week
AI in Hospitality
Courses
  • Leveraging Predictive AI in Hospitality
  • Applying Generative AI in Hospitality
  • Streamlining Hospitality Operations With Automation
  • Hospitality Symposium  
    LIVE
  • AI Symposium  
    LIVE
Designed For
  • Mid- and senior-level hospitality professionals
  • Marketing and sales directors in hospitality
  • HR directors for hospitality organizations
  • Business analysts
  • Hotel general managers
  • Housekeeping directors
Format
All Online

Time Commitment
3 months with 3 to 5 hours of study per week
Cybersecurity and AI Strategy
Courses
  • AI Risk and Opportunity
  • Deepfakes
  • Cybercrime
  • Ransomware and Cyber Extortion
  • Critical Infrastructure, AI, and Cybersecurity
  • AI Symposium  
    LIVE
Designed For
  • 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
Format
All Online

Time Commitment
3 months with 5 to 7 hours of study per week
Precision Nutrition and AI
Courses
  • Foundations of Precision Nutrition
  • Evaluating Methods in Precision Nutrition
  • Precision Nutrition in Research, Policy, and Practice
  • R Primer in Data Analysis
  • Analysis Methods in Precision Nutrition
  • AI Workshops All-Access Pass
Designed For
  • Health and nutrition professionals
  • Data scientists
  • Biopharma professionals
  • Healthtech entrepreneurs and consultants
  • Medical scientists
  • Food scientists
  • Agriculture and food systems experts
  • Graduate students, postdocs, and academic researchers
Format
All Online

Time Commitment
3 months with 6 to 8 hours of study per week
NLP for Finance
Courses
  • Preparing Data for Natural Language Processing
  • Cleaning Text Data to Optimize Model Performance
  • Tuning Your NLP Model for Market Relevance
  • Alternative Approaches to Text Data Analysis for Investment
Designed For
  • Financial analysts
  • Quant finance investors
  • Market analysts and business analysts
  • Data scientists
  • Software engineers
Format
All Online

Time Commitment
2 months with 6 to 8 hours of study per week
Large Language Model Fundamentals
Courses
  • LLM Tools, Platforms, and Prompts
  • Language Models and Next-Word Prediction
  • Fine-Tuning LLMs
  • Language Models and Language Data
  • LLM Architectures and Embeddings
Designed For
  • Engineers
  • Developers
  • Analysts
  • Data scientists
  • AI engineers
  • Entrepreneurs
  • Data journalists
  • Product managers
  • Researchers
  • Policymakers
  • Legal professionals
Format
All Online

Time Commitment
3 months with 6 to 8 hours of study per week
Text Analysis
Courses
  • Mastering NLP Fundamentals
  • Exploring Summarization and Visualization
  • Transforming Text to Numeric Sentiments
Designed For
  • Data scientists
  • Computer scientists
  • Analysts
  • User behavior and UX teams
  • Researchers
  • Social scientists
Format
All Online

Time Commitment
2 months with 6 to 8 hours of study per week
Data Science
Courses
  • 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
Designed For
  • Current and aspiring data scientists
  • Analysts
  • Engineers
  • Researchers
  • Technical managers
Format
All Online

Time Commitment
4 months with 8 to 10 hours of study per week

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{Anytime, anywhere.}
Ezra Cornell
Founder of Cornell University

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