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: 3 courses of 15 hours each; 1 semester program for 15 weeks

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.

Level 1: 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.

Level 2: Digital Manufacturing Essentials Certificate Program

Course Type: In-person classes at New Kensington

Length: Four modules can be taken independently. Each module is 10 hours for a total of 40 hours. Companies have flexibility on duration they want to offer to their employees from 4 hours/week for 10 weeks to all 40 hours into a full-time week. 

Prerequisites: Individuals currently employed or with a background in manufacturing

Skills Taught:

Understanding of smart/digital manufacturing from design to operational management to be competitive in the field. Skills in computer-aided processes in smart manufacturing operations including sensor technology, data collection, visualization, and analytics on the factory floor. Modules include:

  • Digital Devices and Automation
  • Robotics and Physical Automation
  • Digital Controls and Data Management
  • Manufacturing Operations Management
Target Audience:

These programs are for those seeking to enhance their knowledge in smart/digital manufacturing including positions such as production workers, plant supervisors, machinists, machine operators, technicians, manufacturing engineers or manufacturing support roles.

Level 3: 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.

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.

Make Smart Manufacturing Work For You

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.

Smart Manufacturing – Building Your Strategic Roadmap

Course Type: Instructor-Led, remote online, includes hands-on project work 

Length: 4 weeks, 15-20 hours 

Prerequisites: None

Skills Taught:

Work with an expert mentor to learn how to develop a technology-enabled strategic roadmap. Assess your organization’s current state across six critical manufacturing areas: strategy, culture, processes, systems, workforce, and supply chain. Develop a future vision and build a roadmap that aligns your business objectives to smart manufacturing capabilities.

Target Audience:

Manufacturing leaders and innovation champions who seek to initiate digital transformation in their organization. Team participation encouraged.

Smart Manufacturing Acceleration Roadmap Framework Certification Course

Course Type: Instructor-Led, remote online, includes hands-on project work 

Length: 8 weeks, 15-20 hours 

Prerequisites: 3 years of experience as a consultant in manufacturing or 5 years working as a professional leading the implementations of integrated systems in a manufacturing organization

Skills Taught:

Work with an expert mentor to learn how to develop a technology-enabled strategic roadmap. Assess your organization’s current state across six critical manufacturing areas: strategy, culture, processes, systems, workforce, and supply chain. Develop a future vision and build a roadmap that aligns your business objectives to smart manufacturing capabilities.

Target Audience:

This digitally delivered certification course is designed to educate consultants, advisors and innovation champions working with manufacturers on the CESMII Smart Manufacturing Acceleration Framework, the supporting toolkit, and prepare them to take the CESMII Certification exam.

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.

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