Preparing your Path…
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Path Catalog
Data is pulled live from GET /api/v1/paths, and only Paths with a published version are listed.
7801 Paths · page 301 / 781
This graduate-level learning path equips learners with the knowledge and skills to design resilient systems. It covers foundational concepts of resilience, risk management, and system design, progressing through analysis, design strategies, and practical applications.
This graduate-level learning path equips learners with the knowledge and skills to design sustainable systems using systems engineering principles. It covers systems thinking, lifecycle thinking, sustainability metrics, and design for environment, culminating in an integrated capstone project.
This graduate-level learning path equips learners with the knowledge and skills to apply artificial intelligence across systems engineering processes, including requirements engineering, design, testing, and optimization. It covers foundational systems engineering principles, essential AI and data analytics concepts, and practical applications, culminating in an integrated project.
This graduate-level learning path guides learners through the conceptual and practical foundations of digital engineering transformation, focusing on model-based systems engineering (MBSE), digital twins, and the model-based enterprise. It builds from core systems engineering principles through modeling methodologies to enterprise-level data integration and transformation strategies.
This learning path equips senior engineers and managers with the technical leadership skills needed to guide complex systems projects. It covers foundational systems thinking, engineering management, stakeholder engagement, and decision-making, culminating in advanced leadership strategies.
This learning path equips engineers and managers with the knowledge and skills to manage system configurations effectively. It covers the core principles of configuration identification, change control, and status accounting within a systems engineering context, preparing learners to implement and oversee CM processes.
This learning path equips telecom engineers with systems engineering principles and practices tailored to telecom systems. It covers the telecom domain context, systems modeling, reliability engineering, and the application of systems engineering processes to telecom architectures and protocols.
This learning path equips manufacturing engineers with the principles and practices of systems engineering, enabling them to design, integrate, and manage complex manufacturing systems. It covers foundational systems thinking, the systems engineering lifecycle, requirements engineering, architecture, and integration, with a focus on automation and quality. The path culminates in applying these concepts to improve manufacturing performance and reliability.
This advanced professional path equips senior engineers to manage the unique complexity of Systems of Systems (SoS). It covers SoS characteristics, integration challenges, governance structures, and emergent behavior, with emphasis on practical engineering management.
This learning path equips procurement professionals with the knowledge and skills to manage systems acquisition processes effectively. It covers the acquisition lifecycle, contract types, and vendor management, integrating systems engineering management principles. The path progresses from foundational concepts to advanced application, ensuring a comprehensive understanding of how to plan, execute, and oversee systems acquisition.