Wiley
LLM Application Security Controls
This unit covers operational security controls for Microsoft Azure OpenAI and LLM-based applications, emphasizing LLM-specific risks (OWASP Top 10) and […]
Free
Governance and Secure Hosting for Azure AI
This unit introduces enterprise governance, shared responsibility, and regulatory frameworks for deploying generative AI, and compares hosting models to inform […]
Free
Advanced Incident Response and Automation
This capstone unit synthesizes prior cybersecurity concepts to prepare students for advanced incident response, threat hunting, and automation in real-world […]
Free
Automation and Machine Learning Defenses
This unit explores the use of automated tools, scripting, and machine learning to detect, prioritize, and respond to cybersecurity threats. […]
Free
Threat Analysis and Vulnerability Assessment
This unit develops students’ ability to identify, assess, and prioritize cyber threats and system vulnerabilities using threat intelligence and scanning […]
Free
Secure Systems Foundations
This unit introduces foundational concepts for securing systems and networks, including threat modeling, risk assessment, and secure configuration practices. Students […]
Free
Neuro‑Sensory Branding and Packaging
This unit applies neuroscience, sensory design, and generative AI to craft high-impact brand experiences across sight, sound, scent, touch, and […]
Free
Neuroaesthetics of Brand Experience
This unit examines how sensory cues, memory structures, social identity, and emotion drive attention, memorability, and virality in digital products […]
Free
Multisensory NeuroDesign for Virality
This unit examines how multisensory cues, temporal framing, and neuropsychological triggers (e.g., nostalgia, trust, serotonin/oxytocin responses) drive attention, memory, and […]
Free
Foundations of NeuroAI Marketing
This unit introduces neuroAI principles and consumer neuroscience as they apply to language models, sensory marketing, branding, and storytelling. Students […]
Free
Production ML Monitoring and Deployment
This unit synthesizes model lifecycle practices by focusing on monitoring, deployment, maintenance, collaboration, and forward-looking trends in large language models. […]
Free
Model Deployment and Monitoring
This unit focuses on turning trained models into usable services and interfaces, covering rapid prototyping, visualization, deployment, and monitoring practices. […]
Free
LLM Data Selection and Experimentation
This unit guides students through ethical dataset creation, practical engineering for prototyping, and the practical choices involved in selecting and […]
Free
Foundations of Modern ML Systems
This unit introduces the shift from business intelligence to data science and the evolution from CRISP-DM to modern, multicomponent machine […]
Free
Applied Model Training and Evaluation
This capstone unit integrates practical machine learning workflows, emphasizing reproducible execution, performance optimization, and responsible practice. Students will run and […]
Free
Modeling, Evaluation, and Optimization
This unit advances core machine learning skills by focusing on model types, probabilistic reasoning, evaluation, and optimization techniques. Students will […]
Free
Foundations of Model Building
This unit develops practical skills for preparing data, training and evaluating machine learning models, and applying essential tooling and safeguards. […]
Free
Foundations of Machine Learning
This unit introduces core concepts, practical tools, and ethical considerations that form the foundation for machine learning. Students will explore […]
Free
Inference Optimization and Monitoring
This unit focuses on deploying and optimizing large language models for production: tuning hardware utilization and batch processing, applying inference […]
Free
Model Selection and Prompting
This unit examines the tradeoffs between large, compact, and domain-specific language models and how to leverage them effectively in Python-based […]
Free