Learn how the computational tools used in engineering problem-solving are put into practice. This is course 2 of 2 in the program Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI.

Gain a comprehensive understanding of practical and conceptual modeling considerations. This is course 2 of 4 in the professional certificate program Architecture and Systems Engineering: Models and Methods to Manage Complex Systems.

The MIT xPRO Drug and Medical Device Development: A Strategic Approach program explores the entire process of identifying the benefits and risks—and the strategic choices made along the way—of bringing a new medical product to market. This program provides the “big picture” perspective of medical product development, while delving into those details that will help you avoid the major pitfalls that ensnare market incumbents and startups alike.

MIT xPRO's Digital Supply Chain: Reinventing Supply Chains for the Future will examine the key capabilities needed to create and execute digital transformations within your organization and within your broader ecosystem of vertical and horizontal partners.

MIT xPRO's Designing and Building AI Products and Services will broaden your knowledge of AI-based solutions and equip you to drive successful implementation of AI and ML technologies in your organization.

MIT xPRO's Global Manufacturing Leadership program will explore frameworks and methodologies that will allow you to approach complex organizational systems and end-to-end processes creatively. It will also enable you to effectively diagnose issues in your systems and improve its efficiency and sustainability with traditional methods, new technical tools, and resiliency measures that protect organizations from exposure to major disruptions.

MIT xPRO's Robotics Essentials program provides you with the knowledge and resources to identify basic robotic subsystems, evaluate human-robot interactions, and analyze challenges to the implementation of robotic systems. This program is an ideal launchpad if you want to chart a path in full-stack robotics.

Gain foundational knowledge of MBSE, discuss the management challenges of MBSE, and analyze best practices of MBSE in industry. This is course 3 of 4 in the professional certificate program Architecture and Systems Engineering: Models and Methods to Manage Complex Systems.

This course is self-paced. Enroll at any time. No weekly assignments. By the end of this course, you will understand how decisions made as early as product discovery can impact how a biologic is manufactured and delivered.

Explore state-of-the-art practices in systems engineering with this award-winning four-course online program from MIT

Address changes which induce, propagate, and amplify risk in the increasingly complex products and services they are required to develop. This is course 1 of 4 in the professional certificate program Architecture and Systems Engineering: Models and Methods to Manage Complex Systems.

Demystify machine learning through computational engineering principles and applications in this two-course program from MIT.

This course is application-focused. You will understand how system thinking is used in diverse areas such as logistics & transportations, project management, computation, and organizations. You will participate in a project management simulation to apply the concepts learned, and you will have the opportunity to engage in activities so you can contextualize each concept. By the end of this course, you will be able to apply system thinking to improve the performance of your projects.

Gain the knowledge and skills you need to determine when, where, and how to employ quantitative methods in systems engineering. This is course 4 of 4 in the professional certificate program Architecture and Systems Engineering: Models and Methods to Manage Complex Systems.