
Wiley
Machine Learning Concepts and Systems
This unit introduces core machine learning concepts, the hardware and data practices that enable them, and practical application areas such […]
FreeFoundations of Artificial Intelligence
This unit introduces core concepts that underpin modern AI systems, including definitions of AI, data sources, algorithms, hardware, learning paradigms, […]
FreeCapstone: Implementing GenAI Solutions
This unit synthesizes prior fundamentals into applied projects that design, evaluate, and deploy generative AI solutions across domains such as […]
FreeAI-Enhanced User Experience Design
This unit develops applied skills for integrating generative AI across user experience design, content, and development workflows. Students will build […]
FreeApplied Generative AI Tools and Workflows
This unit guides students through practical use of generative AI tools (e.g., Copilot, GitHub Copilot, Tabnine) and associated workflows to […]
FreeFoundations of AI and GenAI Tools
This unit introduces core concepts of artificial intelligence, machine and deep learning, algorithms, and the data and hardware that power […]
FreeSustaining Learning and Closure
This unit focuses on finalizing, evaluating, and sustaining training initiatives by teaching strategies for effective session closure, transitions, feedback collection, […]
FreeFacilitation and Learning Culture
This unit develops learners’ ability to design and deliver effective training while cultivating a supportive, inclusive learning culture within organizations. […]
FreeFacilitation, Evaluation, and Design
This unit develops applied skills for facilitating adult learning, designing learner-centered experiences across modalities, and measuring training effectiveness to support […]
FreeFoundations of Training and Facilitation
This introductory unit establishes foundational knowledge and skills for training and development, covering adult learning theory, the ADDIE training cycle […]
FreeHuman-Centered AI Workforce Strategy
This unit prepares students to integrate generative AI responsibly into business management and HR practices to boost productivity while protecting […]
FreeData-Driven DEI and AI Ethics
This unit explores how businesses measure, evaluate, and run diversity, equity, inclusion (DEI) and employee well-being initiatives using program evaluation […]
FreeInclusion, Data, and Well-Being Integration
This unit examines how data-driven decision-making, storytelling (including GenAI as a copilot), and change management can advance inclusion and employee […]
FreeFoundations of Inclusion Data Storytelling
This unit introduces foundational methods for measuring diversity, inclusion, and well-being and teaches how to convert people data into trustworthy, […]
FreeAI-First Product Strategy & Ethics
This capstone unit synthesizes proactive AI product management, cross-functional collaboration, responsible AI foundations, and practical ideation techniques. Learners will apply […]
FreeAI Product Evaluation and Enhancement
This unit covers methods to validate AI/ML impact, ensure generalizable model performance, and plan practical product improvements that blend automation […]
FreeModeling, Evaluation, and Opportunity Discovery
This unit explains how machine learning models learn, how product managers match AI capabilities to real problems, and how to […]
FreeFoundations of AI Product Management
This unit introduces core concepts that product managers need to guide AI-enabled products, including the distinction between AI and ML, […]
FreeAI Product Operations and Ethics
This unit synthesizes prior learning to prepare students to take AI systems from research into production responsibly and at scale. […]
FreeAI Development, Testing, Deployment
This unit guides students through hands-on practices for training, evaluating, and deploying AI products, emphasizing experimentation, bias mitigation, continuous data […]
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