Wiley
Applied GenAI Tools & Workflows
This unit teaches practical use of generative AI tools, prompt engineering, and data preparation to produce reliable code, content, and […]
FreeFoundations of AI and GenAI Productivity
This unit introduces essential concepts, components, and practical uses of artificial intelligence and generative AI, emphasizing data, algorithms, and common […]
FreeSustaining Learning and Closure
This unit focuses on closing training effectively while building systems and practices that sustain learning across the organization. Learners will […]
FreeFacilitation, Delivery, and Evaluation
This unit moves from foundational concepts to the practical skills of delivering, assessing, and sustaining workplace learning. Learners practice instructional […]
FreeDesigning Human‑First AI Workplaces
This capstone unit synthesizes prior learning about Generative AI, ethics, and inclusion to prepare learners to lead AI-enabled organizational change. […]
FreeData-Driven DEI and Well-Being
This unit teaches learners how to design, evaluate, and implement data-informed DEI and employee well‑being initiatives that align with business […]
FreeFacilitation and Workplace Learning
This unit develops practical facilitation and implementation skills for talent development professionals, focusing on adult learning in classroom, virtual, and […]
FreeData-Driven Inclusion & Well-Being
This unit examines how leaders use data, storytelling, and GenAI to design and implement integrated DEI and employee well-being strategies. […]
FreeFoundations of Training & Facilitation
Introduces foundational concepts and practices in talent development, including adult learning theory, the ADDIE training cycle (with an evaluation-first mindset), […]
FreeMeasuring and Communicating Inclusion
This unit introduces core methods for measuring diversity, inclusion, and well-being and for turning people data into trustworthy, actionable stories. […]
FreeProactive AI Product Leadership
This unit synthesizes proactive AI-first product management practices, cross-functional collaboration, and responsible-AI decision-making. Learners apply ideation techniques and stakeholder coordination […]
FreeValidating and Enhancing AI Features
This unit teaches methods for validating AI/ML product changes, balancing model generalization, and integrating human expertise into AI-enabled features. Students […]
FreeAI Models and Product Practices
This unit develops practical skills for product managers to understand how AI models learn, how to map AI/ML capabilities to […]
FreeFoundations of AI Product Management
This unit introduces core AI and machine learning concepts, the ML learning pipeline (training, validation, testing), and the product manager’s […]
FreeOperationalizing AI Products
This capstone unit synthesizes prior learning to prepare students to take AI prototypes into production, focusing on integrating the MDLC […]
FreeOperational AI Development and Evaluation
This unit teaches students how to operationalize AI products by translating research and model design into repeatable training, experimentation, and […]
FreeAI Experimentation and Production Readiness
This unit guides learners from research and experimentation toward production-ready AI products by teaching how to synchronize development and model […]
FreeFoundations of AI Product Management
This unit introduces the role, mindset, and core processes needed to move from AI demos to impact-driven products. Students learn […]
FreeScaling Scrum and Enterprise Agility
This capstone unit explores advanced practices for applying Scrum across teams and the enterprise, including scaling frameworks, DevOps integration, and […]
FreePractical Scrum: Planning & Scaling
This unit focuses on applying core Scrum practices for planning, estimation, execution, and continuous improvement across contexts. Students will practice […]
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