Learn how AI, machine learning, and data analytics can elevate the way you design systems, solve technical problems, and make decisions.
AI is rapidly becoming part of everyday engineering work—from modeling and automation to forecasting, optimization, and quality improvement. These courses show you how to use modern analytical tools effectively and apply them to real engineering contexts in design, manufacturing, operations, and technical leadership.
AI & Data Analytics Focus Areas
AI & Machine Learning
Develop practical skills to automate processes and solve engineering challenges.
Data Analytics
Use tools and methods to interpret data, optimize systems, and promote better outcomes.
Generative AI
Create and deploy chatbots and workflow automations using intuitive, code-free tools.
Featured Courses
Design of Experiments
This three-hour asynchronous course provides a foundational understanding of Design of Experiments (DOE), focusing on its application in engineering, manufacturing, and product development.
Design of Experiments in Minitab
Through guided analysis of real-world problems, participants will build on foundational DOE knowledge and learn how to set up experiments, interpret results, refine models, and optimize outcomes.
Data Analytics for Technical Leaders
Review the full analytics spectrum, from understanding past performance to optimizing future outcomes, using visual tools, Excel, and structured decision-making frameworks.
Certificates & Pathways
Looking for a credentialed path? Explore Certificate Programs that provide a structured group of courses leading to a professional certificate, and get a 10% discount on related courses.
PDH, CEU, & Licensing
Most courses are eligible for PDH or CEU credit and are widely accepted for PE license renewals. Some courses may offer additional industry- or license-specific accreditation. See course pages for details.
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