Professional Development Offerings

 

Join us today and unlock your full potential for success in the rapidly changing world of engineering and technology. UW-Madison’s College of Engineering (COE) is a leading professional development organization dedicated to empowering engineers and technical professionals with the skills and knowledge necessary to thrive in their fields. We offer a wide range of cutting-edge courses designed to enhance professional growth and provide opportunities for career advancement. Our expert instructors, both faculty and industry veterans, deliver engaging and practical training sessions that bridge the gap between theory and real-world applications. Whether you are looking to deepen your expertise in a specific technical area, stay abreast of the latest industry trends, or broaden your skill set to adapt to evolving challenges, UW-Madison’s College of Engineering is your trusted partner in engineering professional development.

Electric Power Facilities and Building Systems Leadership Industrial

Transportation Infrastructure Vehicles and Powertrains Water and Environmental

Online Anytime

Search Filters

Skip to search filters

Search Results for "Andrysick" (202)

  • Search Term

Piston Rings for Internal Combustion Engines

Upcoming Dates
  • Start Anytime
    Online Anytime
    $300
An independent, self-paced, online course that takes a deep dive into the purpose, functionality and wear mechanisms of piston rings in two and four stroke combustion engines.  Taught by an enthusiastic and active industry expert, this course provides a unique, experienced perspective into understanding the importance of piston rings in engine design. Take advantage of the practical knowledge this course provides in a unique opportunity for both real-life experience and textbook knowledge.
RA01771

Data Analytics for Technical Leaders

Upcoming Dates
  • Feb. 17-20, 2025 (D477)
    Live Online
    $1,495
Data analytics and data visualization are key techniques to drive more effective leadership decisions.   In this course you will learn the fundamental topics of descriptive, causal, predictive, and prescriptive analytics.  With hands-on exercises, you will learn the basics of data optimization and communicating with data.
Customizable
RA01793

Fundamentals of Manufacturing System Design and Analysis

Upcoming Dates
  • Not scheduled at this time. Click the course title for program description and contact information.
Participants will learn how to analyze and evaluate discrete manufacturing systems in different types of production environments.  The course will emphasize production flow, manufacturing cell design, inventory buffers, and performance metrics.  Course will also cover continuous improvement techniques and strategy deployment.
RA01799

Applied Leadership for Performance Culture

Upcoming Dates
  • Not scheduled at this time. Click the course title for program description and contact information.
Build your strategic performance and implementation skills! In this 3-day course you will learn the Hoshin Planning process, understand how to optimize and sustain a strong performance culture, and demonstrate your ability to deliver the people-skill-building modules needed to support continuous improvement within your organization.
Customizable
RA01803

Batteries for EV Applications

Upcoming Dates
  • Jan. 21-30, 2025 (D417)
    Live Online
    $1,695
Energy storage in batteries is rapidly evolving technology that is a critical component of xEV systems.  Learn the fundamentals of batteries: key parameters, performance metrics, sizing, safety, form factor, management (BMS), cost drivers, and second life.
RA01816

Self-Paced Maintenance and Reliability Best Practices

Upcoming Dates
  • Start Anytime
    Online Anytime
    $1,695
This self-paced Maintenance and Reliability Best Practices course plays a critical part in any well-functioning organization, providing maintenance excellence on the right assets at the right frequencies.  Companies that excel with the world class practices as outlined throughout the learning, can reduce machine downtime by up to 50% and extend machinery and/or asset life by over 25%.
Discipline: Industrial
RA01817
Search Results: