Program Streams

BRKS181 - AI Risk and Opportunity
BRKS182 - Deepfakes
BRKS183 - Cybercrime
BRKS184 - Ransomware and Cyber Extortion
BRKS185 - Critical Infrastructure, AI, and Cybersecurity
CAS531 - Linear Algebra: Low Dimension
CAS532 - Matrix and Linear Algebra: High Dimension
CHE121 - Foundations of Precision Nutrition
CHE122 - Evaluating Methods in Precision Nutrition
CHE123 - Precision Nutrition in Research, Policy, and Practice
CHE124 - R Primer in Data Analysis
CHE125 - Analysis Methods in Precision Nutrition
CIS531 - Problem-Solving with Machine Learning
CIS532 - Estimating Probability Distributions
CIS533 - Learning with Linear Classifiers
CIS534 - Decision Trees and Model Selection
CIS535 - Debugging and Improving Machine Learning Models
CIS536 - Learning with Kernel Machines
CIS537 - Deep Learning and Neural Networks
CIS538 - Generative AI and Transformer Models
CIS571 - Natural Language Processing Fundamentals
CIS572 - Transforming Text Into Numeric Vectors
CIS573 - Classifying Documents With Supervised Machine Learning
CIS574 - Topic Modeling With Unsupervised Machine Learning
CIS575 - Clustering Documents With Unsupervised Machine Learning
CIS576 - Conducting Semantic and Sentiment Analysis
CIS611 - Mastering NLP Fundamentals
CIS612 - Exploring Summarization and Visualization
CIS613 - Transforming Text to Numeric Sentiments
CIS621 - LLM Tools, Platforms, and Prompts
CIS622 - Language Models and Next-Word Pronunciation
CIS623 - Fine-Tuning LLMs
CIS624 - Language Models and Language Data
CIS625 - LLM Architectures and Embeddings
CTECH431 - AI and Digital Technology: Opportunities and Pitfalls
CTECH432 - Demystifying AI and Digital Technologies
CTECH433 - AI and the Future of Work
CTECH434 - Identifying New Business Models Enabled by AI
CTECH435 - Creating a Digital Builder Culture
CTECH436 - Data-Driven Leadership
CTECH461 - Machine Learning Foundations
CTECH462 - Managing Data in Machine Learning
CTECH463 - Training Common Machine Learning Models
CTECH464 - Training Linear Models
CTECH465 - Evaluating and Improving Your Model
CTECH466 - Improving Performance With Ensemble Methods
CTECH467 - Using Machine Learning for Text Analysis
CTECH471 - Generative AI: Capabilities and Compromises
CTECH472 - Working With Generative AI to Become More Effective
CTECH473 - Using Generative AI to Transform Business Processes
CTECH474 - Generative AI Law and Ethics
CTECH475 - Derisking Generative AI Ventures
CTECH477 - Generative and Agentic AI
JCB641 - Introduction to AI
JCB642 - Knowledge-Based AI Technologies
JCB643 - Machine Learning and Data-Based Approaches to AI
JCB644 - Strategic Implementation of AI Systems
JCB645 - Societal Impacts of AI
JCB646 - The Future of AI
JCB661 - Preparing Data for Natural Language Processing
JCB662 - Cleaning Text Data to Optimize Model Performance
JCB663 - Tuning Your NLP Model for Market Relevance
JCB664 - Alternative Approaches to Text Data Analysis for Investment
JCB701 - Creating Business Value With AI
JCB702 - Exploring Good Old-Fashioned AI
JCB703 - Leveraging Data for AI Solutions
JCB704 - Expanding AI Power and Value Through Neural Networks
JCB705 - Innovating With Generative AI
LSM321 - Digital Transformation in Marketing
LSM322 - Marketing Automation and AI
LSM731 - Generative AI for Written Communication
WCM121 - Machine Learning in Healthcare
WCM122 - Data Management in Healthcare
WCM123 - Natural Language Processing in Healthcare
WCM124 - Designing Digital Healthcare Tools
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