Coursera

Roadmap to Success in Digital Manufacturing & Design (Coursera)

Offered by University at Buffalo, The State University of New York,

Learners will create a roadmap to achieve their own personal goals related to the digital manufacturing and design (DM&D) profession, which will help them leverage relevant opportunities. The culminating project provides a tangible element to include in their professional portfolios that showcases their knowledge of Industry 4.0.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This project is part of the Digital Manufacturing and Design Technology specialization. To learn more about the specialization and its courses, please watch the overview video by copying and pasting the following link into your web browser:

Course 9 of 9 in the Digital Manufacturing & Design Technology Specialization.

Syllabus

WEEK 1
Project Definition
The purpose of this module is to introduce learners to the factors and trends motivating the transition from the current state of manufacturing to a Digital Manufacturing and Design (DMD) model. Learners will demonstrate critical thinking to define a personalized roadmap project relating to the transformation such that they can impact themselves and the future of DMD. Details of individual lessons in this module are provided below.

WEEK 2
Self-Assessment
The purpose of this module is for learners to identify their current situation, perform a self-assessment, and create a personalized future goal within the Digital Manufacturing and Design paradigm. Details of individual lessons in this module are provided below.

WEEK 3
Network Exploration
This module focuses on defining and acquiring resources to help learners grow their network to assist in attaining the future goal identified within the Digital Manufacturing and Design domain. Details of individual lessons in this module are provided below.

WEEK 4
Roadmap Execution
In this module, learners will created a realistic roadmap execution plan to transition from a current state to a future desired state in the Digital Manufacturing and Design paradigm, using concepts gleaned throughout the course and elsewhere.

WEEK 5
Final Project Submission and Peer Review Evaluation
In this final module, learners will continue to complete final edits and submit personalized artifacts and attestations to support a transition from a current state to a future state in Digital Manufacturing and Design as a peer review. Learners will review and provide feedback of the work of classmates.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

University at Buffalo,The State University of New York

Digital Thread: Components (Coursera)

Engineering

This course will help you recognize how the "digital thread" is the backbone of the digital manufacturing and design (DM&D) transformation, turning manufacturing processes from paper-based to digital-based. You will have a working understanding of the digital thread – the stream that starts at product concept and continues to accumulate information and data throughout the product’s life cycle – and identify opportunities to leverage it.

Jun 22nd 2026

3 Weeks

Digital Digital Design Design Technology

Coursera

Emory University

Conflict Transformation (Coursera)

Business

This course introduces you to the concept of conflict transformation and how it differs from conflict resolution, management, and prevention. We’ll see how conflict offers opportunities for constructive change, and we'll explore different tools and methods for engaging conflict constructively.

Jun 22nd 2026

5-12 Weeks

Business Self-Assessment Conflict

Coursera

University of Naples Federico II

Autonomous Aerospace Systems (Coursera)

Engineering

The course aims to provide the knowledge needed to design and develop efficient driving and navigation solutions for autonomous vehicles. Driving can be strategic or tactical while navigation is the function that provides information about the position, speed and orientation of the vehicle. It is made by integrating measurement from different sources, such as sensors and receivers.

Jun 22nd 2026

5-12 Weeks

Modeling Mechanical Engineering Simulation

Coursera

University of Colorado Boulder

Non-Equilibrium Applications of Statistical Thermodynamics (Coursera)

Engineering

Course 5 of Statistical Thermodynamics explores three different applications of non-equilibrium statistical thermodynamics. The first is the transport behavior of ideal gases, with some discussion of transport in dense gases and liquids. It starts with simple estimates of the transport properties of an ideas gas. It then introduces the Boltzmann Equation and describes the Chapman-Enskog solution of that equation in order to obtain the transport properties. It closes with a discussion of practical sources of transport properties.

Jun 22nd 2026

3 Weeks

Thermodynamics Mechanical Engineering Solids

Coursera

Georgia Institute of Technology

Machine Design Part I (Coursera)

Engineering Sci: Physics

“Machine Design Part I” is the first course in an in-depth three course series of “Machine Design.” The “Machine Design” Coursera series covers fundamental mechanical design topics, such as static and fatigue failure theories, the analysis of shafts, fasteners, and gears, and the design of mechanical systems such as gearboxes. Throughout this series of courses we will examine a number of exciting design case studies, including the material selection of a total hip implant, the design and testing of the wing on the 777 aircraft, and the impact of dynamic loads on the design of an bolted pressure vessel. In this first course, you will learn robust analysis techniques to predict and validate design performance and life.

Jun 22nd 2026

5-12 Weeks

Mechanical Engineering Problem Solving Failure

Coursera

University of Colorado Boulder

Quantum Mechanics (Coursera)

Engineering

Course 2 of Statistical Thermodynamics presents an introduction to quantum mechanics at a level appropriate for those with mechanical or aerospace engineering backgrounds. Using a postulatory approach that describes the steps to follow, the Schrodinger wave equation is derived and simple solutions obtained that illustrate atomic and molecular structural behavior. More realistic behavior is also explored along with modern quantum chemistry numerical solution methods for solving the wave equation.

Jun 22nd 2026

3 Weeks

Chemistry Thermodynamics Quantum Mechanics

Coursera

University of Chicago

Critical Issues in Urban Education (Coursera)

Education Social Sciences

Urban school reform in the United States is characterized by contentious, politicized debate. This course explores a set of critical issues in the education and educational reform space, with a focus on aspects of the field that have sparked controversy and polarized views. We will dig into these debates, situating them within the larger history of public education and school reform, and considering the viewpoints, the evidence, and translation of issues into educational policy.

Jun 22nd 2026

5-12 Weeks

Education United States Evaluation

Coursera

Imperial College London

Evaluation of Digital Health Interventions (Coursera)

Health & Society

This course focuses on data, evaluation methods and the economic evaluation of digital health interventions. This module focuses on key data considerations for digital health including data management, data visualisation and methods for evaluating digital health interventions. The key focus is on experimental and quasi-experimental design approaches that can be applied to evaluating digital health interventions and key considerations for the economic evaluation of digital health interventions.

Jun 22nd 2026

4 Weeks

Health Healthcare Data Management

Coursera

Stanford University

Evaluations of AI Applications in Healthcare (Coursera)

Health & Society Data Science

With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving technologies. This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare solutions.

Jun 22nd 2026

5-12 Weeks

Healthcare Artificial Intelligence Evaluation

Coursera

University of Minnesota

Evaluating User Interfaces (Coursera)

CS: Design & Product

In this course you will learn and practice several techniques for user interface evaluation. First we start with techniques that can be applied alone or in a design team, including action analysis, walkthroughs, and heuristic evaluation. Then we move on to user testing, including learning from a series of usability tests carried out in a real usability lab, and techniques to carry out your own tests even without a lab.

Jun 22nd 2026

4 Weeks

Evaluation User Interface Design User Interface

Coursera

Georgia Institute of Technology

Material Processing (Coursera)

Engineering

Have you ever wondered why ceramics are hard and brittle while metals tend to be ductile? Why some materials conduct heat or electricity while others are insulators? Why adding just a small amount of carbon to iron results in an alloy that is so much stronger than the base metal? In this course, you will learn how a material’s properties are determined by the microstructure of the material, which is in turn determined by composition and the processing that the material has undergone.

Jun 22nd 2026

2 Weeks

Thermodynamics Mechanical Engineering Crystal Structures

Coursera

Michigan State University

Developing An Entrepreneurial Mindset: First Step Towards Success (Coursera)

Management & Leadership Business

This course is the first in a series on starting a business. Though new venture creation is the focus of the specialization, this course is important for everyone.To create a successful business it is not only about what you do (technical execution), it is also about how you think. This course provides learners with insights to re-frame their thinking in order to maximize their chances for success. So what can a learner expect to gain from this course? At the end of this course a learner: 1.) will be able to argue effectively against all of the reasons for not starting their business (or reaching some goal); 2.) will be able to operate effectively within the new framework or model for starting a business (or any new endeavor), thus increasing their chances for success; and 3.) will be able to make the initial business startup decisions of what type of business to start, and what type of businessmowner to be.

Jun 22nd 2026

3 Weeks

Startup Entrepreneurship Success