Wiley
LLM Security Controls and Monitoring
This unit examines threats specific to large language model applications and teaches technical controls to harden Azure OpenAI deployments. Students […]
FreeGovernance and Security for Azure OpenAI
This unit introduces enterprise Generative AI use cases, the shared responsibility model, and the regulatory and control frameworks that govern […]
FreeCapstone Synthesis and Presentation
This capstone unit consolidates technical concepts, design practices, and professional skills developed throughout the Software and Systems Development pathway. Students […]
FreeIntegrating Systems and Practices
This unit consolidates prior programming, design, and collaboration skills into integrated software workflows. Students practice combining modules, applying version control […]
FreeProgram Design and Debugging
This unit develops core programming skills: problem decomposition, control structures, functions/modularity, and basic data handling. Students will write, test, and […]
FreeFoundations of Software Development
This unit introduces core concepts and practices that underpin software and systems development, synthesizing key takeaways about the software development […]
FreeNeuroAI Multisensory Brand Design
This capstone unit synthesizes neuroscience insights and generative AI methods to design, prototype, and evaluate multisensory brand experiences—packaging, sound, scent, […]
FreeNeuroaesthetics and Sensory Branding
This unit explores how memory systems, multisensory cues, social identity, and neuroaesthetic principles shape brand perception, recall, and virality. Students […]
FreeMultisensory Neuro-Brand Design
This unit examines how multisensory cues (scent, sound, touch, typography, timing, and nostalgia) interact with neural systems to shape attention, […]
FreeNeuroAI Consumer Insights and Branding
This unit introduces how neuroscience principles and recent LLM capabilities inform consumer profiling, sensory design, emotional targeting, and brand storytelling. […]
FreeML Deployment and Monitoring
This unit teaches students how to move machine learning models into production and keep them reliable through monitoring, maintenance, and […]
FreeModel Deployment and Monitoring
This unit teaches students how to prototype interactive model demos, create publication-quality visualizations, deploy models as APIs, and establish basic […]
FreeLLM Data, Experimentation, and Inference
This unit guides students through ethical dataset creation, pragmatic engineering for dataset pipelines, and the experimental practices needed to select […]
FreeFoundations of Production Machine Learning
This unit introduces the shift from business intelligence to modern machine learning engineering, covering the evolution from CRISP-DM to multicomponent […]
FreeApplied Model Development and Evaluation
This unit guides learners through end-to-end model development: preparing and verifying data and code, executing and accelerating training, engineering features, […]
FreeModeling, Tuning, and Evaluation
This unit advances core machine learning techniques for building, tuning, and evaluating models across supervised and unsupervised tasks. Students learn […]
FreeFoundations of Machine Learning
This unit develops core machine learning foundations: data structures and preprocessing, probability and statistics for model assessment, basic supervised and […]
FreeFoundations of Machine Learning
This unit introduces core machine learning concepts, data practices, and basic algorithms while grounding students in tools and ethical considerations […]
FreeOptimizing GenAI Inference Performance
This capstone unit focuses on operationalizing and optimizing large language model inference: hardware utilization, batch tuning, inference acceleration tools, monitoring […]
FreeCompact and Domain-Specific LLMs
This unit examines the trade-offs between large general-purpose models and smaller, task-focused models, explores successful examples of compact and domain-specific […]
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