Professional Development Courses

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.

 

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Courses (10)

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Supply Chain Analytics

Upcoming Dates
  • Apr. 21-22, 2026 (E119)
    Madison, WI or Live Online
    $1,495
Hands-on supply chain analytics course focused on applying advanced data methods to real operations challenges, improving forecasting, planning, and decision-making.
Customizable
RA00109

Foundations of Artificial Intelligence and Machine Learning (AI & ML)

Upcoming Dates
  • May 27 - Jun. 3, 2026 (E024)
    Live Online
    $2,195
Gain a practical understanding of how AI and machine learning work—and how to apply them effectively in real-world business and engineering contexts. This course demystifies core concepts like supervised learning, model training, and data preparation so you can make informed decisions and lead AI-driven initiatives.
RA01851

New Industrial Data Analytics: Models, Forecasts, and AI Tools

Upcoming Dates
  • Jun. 16-19, 2026 (E107)
    Live Online
    $1,695
Unlock the power of data to drive smarter decisions in engineering and industry. This hands-on course introduces engineers and technical professionals to the tools and methods needed to turn raw data into actionable insights. Using Python, participants will master data preparation, visualization, and advanced analytics techniques such as classification, clustering, and pattern mining. Building on this foundation, the course explores predictive modeling, anomaly detection, deep learning, failureevent modeling, and time series forecasting.  Designed with real-world applications in mind, the course emphasizes solving practical challenges in manufacturing, reliability, and quality control. Through interactive exercises and guided examples,participants will gain not only technical proficiency but also the confidence to apply analytics for improved performance, efficiency, and innovation in their organizations.
RA00118
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