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PROFESSIONAL CERTIFICATE PROGRAM IN

Industry 4.0

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PROFESSIONAL CERTIFICATE PROGRAM IN

Industry 4.0

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START
DURATION
HOURS OF EFFORT
MIT CEU’s
LANGUAGE
FORMAT
PRICE
APPLICATION FEE

The Path to Success in the 4th Industrial Revolution

Organizations today operate in a competitive, technology-driven environment, requiring them to rethink operations, business models, and customer support. The Fourth Industrial Revolution demands that organizations and employees adapt quickly to these rapid changes.
Leveraging new technologies is essential for growth and efficiency in today’s market. Modular production and product customization are revolutionizing processes, enabling profitability even with smaller scales.
MIT Professional Education provides reskilling and upskilling programs to promote continuous learning. These programs equip professionals with the knowledge and skills needed to excel in the evolving job market and keep organizations competitive in a changing world.

10-20%

Organizations that engage in intense management practices and technology deployment can improve asset efficiency by 10-20%.

Source: Deloitte analysis

90%

Additive manufacturing (processes that make three-dimensional products from a digital design) can reduce material costs by up to 90% and energy costs by up to 50%.

Source: World Economic Forum

15-30%

The use of integrated processes in healthcare systems in an economy of scale enables cost reduction by 15-30%.

Source: Strategy& PWC

An online Professional Certificate Program to boost performance through disruption

From leading technologies such as the internet of things (IoT) and artificial intelligence to understanding the fundamentals of smart manufacturing and product platforms, through the Professional Certificate Program in Industry 4.0, we prepare professionals to tackle these challenges head-on and provide them with the knowledge and tools to succeed in the digital age.

The objective? To help them bring to their organizations:

Greater Efficiency
by learning how to optimize product processes

Maximum Impact
by learning about technology management

In this tailored program, participants will be able to learn about the technologies and tools most applicable in today’s industry directly from leaders in the sector who are pioneering change.

LEARN MORE ABOUT THE PROGRAM SPECIFICS

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The Learning Journey

Over 12 months, this online Professional Certificate Program equips professionals with the skills to design roadmaps and integrate innovative technological solutions in communication, manufacturing, and strategic planning through the following courses:

The skills you will develop

By the end of this Professional Certificate Program, you’ll gain practical tools, insights, and skills that will enable you to:

1.

IDENTIFY NEW MARKET AND PRODUCT OPPORTUNITIES

to drive revenue growth, unlock innovative strategies, and capitalize on emerging trends.

2.

USE PRODUCTION DATA FOR SMART MANUFACTURING AND PLATFORM DESIGN

and leverage innovative strategies to unlock production potential and expand competitive advantage.

3.

OPTIMIZE MACHINES USING MACHINE VISION AND THE FrED

maximizing efficiency through advanced analytics and real-time data integration.

4.

PERFORM ADVANCED DATA ANALYSIS WITH FRED DATA SETS

to uncover insights, optimize manufacturing processes, and drive informed decision-making.

5.

APPLY IOT+ THEORY TO ENHANCE SMART TECHNOLOGY APPLICATIONS

to enhance connectivity, streamline processes, and optimize industrial operations, and productivity.

6.

MEASURE TECHNOLOGICAL PROGRESS WITH FOMs

to align innovations with target products or services.

7.

DEVELOP LEADERSHIP STRATEGIES AND CULTURES

that foster creativity, innovation, and growth.

8.

AUTOMATE WORKFLOWS WITH GENERATIVE AI WITHIN AN ETHICAL FRAMEWORK

to enhance efficiency, ensure compliance, and drive sustainable innovation.

In addition, you will receive a Certificate of Completion

All the participants who successfully complete Industry 4.0 will recieve a Certificate of Completion from MIT Professional Education. Furthermore, the participants who complete the program recieve Continuing Education Units (CEUs)*.

To obtain CEUs, complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.

* The Continuing Education Unit (CEU) is defined as 10 contact hours of ongoing learning to indicate the amount of time they have devoted to a non-credit/non-degree professional development program.

To understand whether or not these CEUs may be applied toward professional certification, licensing requirements, or other required training or continuing education hours, please consult your training department or licensing authority directly.

This Professional Certificate Program is aimed at

  • PLANT MANAGERS
    looking to boost efficiency, adopt new technologies, and align production with business goals.
  • TECHNOLOGY LEADERS
    seeking generative AI best practices for business outcomes
  • DESIGN AND MANUFACTURING ENGINEERS
    exploring data and modeling in manufacturing.
  • INNOVATION, SALES, PRODUCT, MARKETING, AND CUSTOMER EXPERIENCE PROFESSIONALS
    leveraging generative AI for new products and personalization
  • FUNCTIONAL MANAGERS
    wanting in-depth knowledge of emerging technologies.
  • SENIOR MANAGERS AND MID-CAREER EXECUTIVES
    exploring generative AI applications
  • PRODUCT LINE STRATEGISTS, PLATFORM ARCHITECTS,
    in industry and government shaping innovation, and driving technological advancement.
  • INVESTORS IN VENTURE CAPITAL, PRIVATE EQUITY, OR HEDGE FUNDS
    seeking opportunities in generative AI.
  • DATA SCIENTISTS
    applying expertise to Smart Manufacturing

A CLOSER LOOK AT THE PROFILE

  • Professionals who want to obtain a broader strategic vision about how methodologies, technologies and tools can transform their operations.
  • Also, those who are interested in understanding how to define modular and scalable product architectures, utilizing standardization, customization, and platform leveraging strategies to maximize cost savings.

Meet the instructors of this program

Listed in alphabetical order 
DIRECTOR OF THE MIT MASTER OF ENGINEERING IN ADVANCED MANUFACTURING AND DESIGN. ASSOCIATE DIRECTOR, MIT.NANO.

Dr. Brian W. Anthony

"Using technology to refine the manufacturing process allows us to offer better products in the market, faster and more economically".

Dr. Anthony is director of the MIT Master of Engineering in Manufacturing Program, co-director of the Medical Electronic Device Realization Center and deputy director of the MIT Skoltech Initiative. He possesses more than 20 years of product realization experience and has won an Emmy from the Academy of Television Arts and Sciences for his innovations in broadcast technology. Dr. Anthony designs instruments and techniques to monitor and control physical systems. His work involves the analysis and the design of systems. He also uses mechanical, electrical and optical engineering as well as computer science and optimization to develop solutions.

Dr. Anthony´s research revolves around the design of instruments and techniques for measuring and controlling complex physical systems and includes the development of instruments and measurement solutions for manufacturing, medical diagnostics, and imaging diagnostics. In addition to his academic work, he has extensive experience in market-driven technological innovation, product development and entrepreneurship, and marketing at the point where information technology and advanced manufacturing come into contact. As a teacher, his main interests are the modeling of large-scale systems in a variety of areas involving decision making and the development of optimization algorithms and software useful for analyzing and designing these types of systems. He is an expert in market-driven technological innovations, as well as in entrepreneurship.

PROGRAMS: Industrial Internet of Things · Smart Manufacturing

DIRECTOR, SYSTEM ARCHITECTURE GROUP AT MIT

Dr. Bruce Cameron

"Digital platforms are some of the most interesting (and hardest!) technical challenges to work on today."

Dr. Bruce Cameron is director of the System Architecture Lab at MIT and co-founder of the consulting firm Technology Strategy Partners. His areas of research include technology strategy, system architecture and product platform management. Previously, Dr. Cameron led the “MIT Commonality”, a research study of 30 companies on platform performance, which concluded that companies face systemic pressure on homogeneity, in part, as a result of problems in determining costs. Dr. Cameron has supervised more than 50 graduate students and conducted research projects for Amazon, BP, Sikorsky, Nokia, Caterpillar, AMGEN, Verizon and NASA.

Dr. Cameron teaches the subject of System Architecture for the “System Design and Management”, where he has trained over 500 students. Dr. Cameron´s teaching at Sloan Executive Education has been rated as the highest level of Executive Education program at MIT for several years. In addition, he is the Faculty Director of MIT´s online certificate “Architecture and System Engineering”, which has trained more than 5,300 participants.

PROGRAMS: Designing Product Families

PROFESSOR OF AERONAUTICS, ASTRONAUTICS AND SYSTEMS ENGINEERING AT MIT

Prof. Olivier de Weck

"The design of platforms and product families is aimed at achieving long-term success and survival of companies".

Olivier de Weck was born in Switzerland and has a degree in industrial engineering from the ETH Zurich and in aerospace systems engineering from MIT. Prior to joining MIT, he was an engineering liaison and later director of the McDonnell Douglas F/A-18 aircraft engineering program.

Professor De Weck is a leader in systems engineering research. He focuses on the design of complex man-made systems, such as aircraft, spacecraft, cars, printers and critical infrastructure, and on their evolution. His main focus is on strategic properties that have the potential to maximize life cycle value. Since 2001, his group has developed new methods and quantitative tools that explicitly consider production, flexibility, common features and sustainability, among other characteristics. Professor De Weck’s teaching emphasizes excellence, innovation, and the combination of theory and practice.

PROGRAMS: Designing Product Families

EXECUTIVE DIRECTOR OF MIT'S GEOSPACIAL DATA CENTER

Dr. Abel Sanchez

"Five technologies are redefining both the way we make our products and the types of opportunities that exist in the marketplace".

Dr. Sanchez is the architect of the global network “The Internet of Things” and data analysis platforms for SAP, Ford, Johnson & Johnson, Accenture, Shell, Exxon Mobil and Altria. In cyber security, he has developed cyber-attack impact analyses for the U.S. Department of Defense and a password firewall for the IARPA.

Dr. Abel Sanchez holds a PhD from the Massachusetts Institute of Technology (MIT) and teaches MIT courses in cyber security, engineering, blockchain and data science. He has been involved in developing educational software for Microsoft and establishing the Accenture Technology Academy. He has produced over 150 educational videos, has 10 years of experience with learning management systems and has made deployments in the Americas, Asia and Europe.

PROGRAMS: Digital Transformation · Cloud & DevOps · Blockchain

PROFESSOR OF MECHANICAL ENGINEERING AND INDUSTRIAL ENGINEERING

Prof. Timothy W. Simpson

"Courses often don’t ask the question,‘How can we really design and take advantage of these processes?’ and that question drives my courses."

Timothy W. Simpson is a professor of mechanical and industrial engineering at Pennsylvania State University. He holds senior positions in technical design and in the Faculty of Information Science and Technology. His research areas include product family design and platform-based product development, multidisciplinary design optimization, commercial space exploration, and additive manufacturing. He has published over 250 articles in peer-reviewed journals and conference proceedings. He is the senior editor of two books, ‘Product Platform and Product Family Design: Methods & Applications’ (2005) and ‘Advances in Product Family and Product Platform Design: Methods & Applications’ (2013). His research has been supported by federal and state agencies such as NSF, ONR, DARPA, EDA and DCED, as well as numerous companies ranging from startups to multinationals.

He has worked with more than 30 different companies to apply his methods of product line improvement and product development practices. He helped establish and manage the Product Platform group on LinkedIn.

PROGRAMS: Designing Product Families

DIRECTOR OF THE MIT GEOSPATIAL DATA CENTER

Prof. John R. Williams

"Once you climb that first mountain of knowledge, you will be able to teach yourself many things".

Professor John R. Williams’ research focuses on the development and application of computing algorithms in distributed cyberphysical systems. He was director of the Auto-ID Laboratory, where the Internet of Things was invented. He is considered, along with Bill Gates and Larry Ellison, one of the 50 most powerful people in “Computer Networks”.

He is author and coauthor of more than 250 articles in journals and conferences. Professor Williams teaches courses on the basics of programming, modern software development, the architecture of web, cloud and blockchain systems. In addition, he holds a BSc in Physics from Oxford University, an MSc in Physics from UCLA, and a PhD from the University of Swansea.

PROGRAMS: Digital Transformation · Cloud & DevOps · Blockchain

Discover the experience of our participants

Application Process

1

Complete the application form and pay the non-refundable fee.

2

Our program advisors will evaluate your application.

3

Await the decision from our program advisors. If you receive an offer of admission, you’ll have 72 hours to pay the enrollment fee and reserve your place.

Are you ready to drive growth and efficiency within your organization?

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