Professional Development Courses

Advance your skills with courses designed for engineers and technical professionals.

Offered by the University of Wisconsin–Madison College of Engineering, our offerings focus on practical, job-relevant learning you can apply immediately. Choose from a wide range of topics across engineering, technology, and leadership, taught by experienced faculty and industry experts.

Options are available in flexible formats, including in person, live online, and Online Anytime (asynchronous), making it easier to build expertise, stay current in your field, or prepare for the next step in your career.

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Search Results for "Operation Monitoring" (30)

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Landfill Gas Design and Management

Upcoming Dates
  • Apr. 15-17, 2026 (D823)
    Live Online
    $995
Unlock the full potential of landfill gas systems by mastering the design, management, and recovery techniques that turn waste into a revenue-generating resource. This course equips engineers with the tools to optimize emissions control, ensure regulatory compliance, and drive sustainable innovation.
RA01833

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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