Education catalog

As the home of Smart Manufacturing, we pride ourselves on providing a wide array of education opportunities, all in one place. Together with our ecosystem, we work to bring you the latest in Smart Manufacturing Education. All CESMII-endorsed courses have gone through our verification process to bring you the most relevant, cutting-edge offerings available.

Endorsed Education Program

To qualify, all courses must include the following skills: Industry 4.0, interoperability, scalability, analytical, and orchestration capabilities that expand Industry 3.0.

Member Discounts

We work hard to provide you with innovative content at a reasonable cost. Thanks to our strong industry partnerships, CESMII members can leverage discounts on select courses.

Continuous Improvement

We are constantly updating our session catalog with courses to develop and advance our Smart Manufacturing ecosystem. Check in regularly to see the latest opportunities.

Advanced Professional Development – Smart Manufacturing

Course Type: Instructor-Led

Length: (4) 36-hour courses and an 18-hour project. Multiple semesters

Prerequisites: None

Skills Taught:

Smart Manufacturing Introduction, Smart Manufacturing in the context of Additive Manufacturing, Data Analytics and AI, Human-machine interaction, augmentation, Smart Digital Supply Chain, Executing a Smart Manufacturing Pilot Project.

Target Audience:

Professionals with a technical background and/or education in engineering, manufacturing, and data/information technologies.

Contact info@cesmii.org for a 25% off CESMII member discount on this course.

Introduction to Smart Manufacturing – Building Professional Expertise in Industry 4.0

Course Type: On-Demand, Online

Length: 6 weeks, 5-6 hours/week

Prerequisites: None

Skills Taught:

With this credential, learners will establish a foundational understanding of Smart Manufacturing, from the core underlying technologies to its impact on an organization and its people. Intended for anyone in a manufacturing company seeking to understand how modern technologies are being applied to drive value for the business. This credential will help define Smart Manufacturing in terms that can be translated into operational business value.

Target Audience:
  • Senior leaders in plant management and operations roles are responsible for business decisions and the financial bottom line.
  • Design and manufacturing engineers seeking to learn about data and modeling in a manufacturing environment.
  • Production plant supervisors and managers who are responsible for data flow, capture, storage and system modification for greater process flows and production improvements.
  • Junior level operations and line specialists who are committed to a career in manufacturing and having a greater understanding of the changes in the future of the industry.
  • Consultants who want to add value around the latest technology transformations in manufacturing.

Smart Manufacturing, Industry 4.0 and IIoT Workshops

Course Type: Instructor-Led, In-Person

Length: Half-day workshops

Prerequisites: None. However, come prepared to address specific challenges in your business, from gaining visibility into production, improving asset performance, or increasing quality.

Skills Taught:

Practical Pathways to Smart Manufacturing / Industry 4.0 – Smart Manufacturing, its business value, and practical technologies and techniques.  The difference between Industry 3.0 and 4.0. Developing a practical modernization roadmap based on your current capabilities. Resources available to help manufacturers.

The Impact of IIoT Sensors & Platforms Applied to Smart Manufacturing – Learn how Smart Manufacturing can be implemented at low cost without the need for advanced infrastructure and  skills. Hands-on examples and demonstrations of successful business use cases.

Target Audience:

Plant managers and executive leaders. Those in charge of Continuous Improvement (CI), Digital Transformation, and Lean Initiatives. Associates, engineers, managers, and supervisors in Operations, Quality, Production, Maintenance, Automation, and IT

Smart Manufacturing – Moving from Static to Dynamic Operations

Course Type: Instructor-Led

Length: 10 weeks, 50 hours

Prerequisites: None

Skills Taught:

Introduction to Smart Manufacturing; Using sensors in FrED extrusion machine for Data Capture, Visualization, Analysis, and Modeling; Control of Manufacturing Processes; Machine Vision and manufacturing applications; Model Fitting and Sensitivity Analysis; Statistical Process Control; Advanced Data Analytics

Target Audience:

Plant managers working in manufacturing. Design and manufacturing engineers seeking to learn about data and modeling in a manufacturing environment. Data scientists looking to apply their craft to the growing field of smart manufacturing.

Smart Manufacturing

Course Type: Instructor-Led

Length: 35 hours

Prerequisites: A working knowledge of the Python Programming Language is required. SQL or rather writing structured query language queries is desired but not required. 

Skills Taught:

Smart Manufacturing Introduction. Streaming Data from Device to the Cloud.  Smart Factory Floor OT/ITSystem. Machine Vision for Quality Inspection.

Target Audience:

Any graduate student in Engineering can take this class.

North Carolina State University

Contact info@cesmii.org for a 25% off CESMII member discount on this course.

Smart Manufacturing – Building Professional Expertise in Industry 4.0

Course Type: On-Demand, Online

Length:  Approximately 12 hours. 6-week maximum time to complete the course. 1 meeting with an instructor required.

Prerequisites: None

Skills Taught:

This course covers the Smart Manufacturing definition, characteristics and principles. An overview of the Industrial Internet of things software stack and a specific focus on the MQTT protocol. The course also demonstrates a hands-on-guided activity on implementing MQTT with Node-Red and MQTT with Python using the Python library – Paho-Mqtt library.

Target Audience:

Engineers who are interested in learning MQTT Protocol and the SparkPlug Specification that enables a core data infrastructure required for Smart Manufacturing implementation.

Digital Manufacturing Professional

Course Type: Instructor-Led

Length: 4 Weeks, 42 Hours

Prerequisites: None

Skills Taught:

Smart Manufacturing Essentials. Industrial Internet of Things. Data Analytics and Machine Learning. Digital Twin Development and Implementation.

Target Audience:

Professionals with a technical background and/or education in engineering, manufacturing, and data/information technologies.

Manufacturing and Digital Fundamentals

Course Type: Instructor-Led, In-Person at the Digital Foundry at New Kensington

Length: All four modules are 24 hours, two evenings each week over 7 weeks. Module #3 can be taken by itself and is 12 hours over 2 weeks.

Prerequisites: None

Skills Taught:

Examples of current Smart Manufacturing practices.  Application of critical thinking, communication, problem solving, ideation, and teamwork. Quality principles including planning, assurance, control, and improvement. Data analysis and visualization for decision making. Examples in digital lean manufacturing, digital design tools, and basics of digital twins.

Target Audience:

Individuals looking to enter the manufacturing field with little to no current experience in traditional or digital manufacturing or those who are looking to grow, strengthen or refresh fundamental future-ready skills needed to be competitive in the field.

Fundamentals of Smart Manufacturing

Course Type: On-Demand

Length: 34 eLearning modules about 30-60 minutes each

Prerequisites: None

Skills Taught:

Smart Manufacturing Introduction. Data Collection Fundamentals, Cybersecurity, How Smart Manufacturing is related to Business Strategy, the convergence of IT and OT, IIoT, Big Data, Digital Thread, Digital Twin, Analytics, AI/Machine Learning, Workforce Augmentation, Digital Lean, Continuous Improvement and Digital Supply Chain.

Target Audience:

Professionals with a general background in manufacturing and information technologies.

Apply for CESMII Endorsed Education Program

Learn more

Get in touch.

We look forward to hearing from you. 

I'm interested in:

Terms & Conditions

Register for News from CESMII

6 + 8 =