AIAPPSW - Webinar: From Theory to Practice: A.I. and Machine Learning in Action
Program Description
Don't miss this opportunity to transform A.I. theory into practical solutions with hands-on projects and real-world applications: reserve your spot today!
This webinar is free and open to the public.
Unlock the potential of Artificial Intelligence and Machine Learning with this hands-on course designed to bridge the gap between theory and practical application. Whether you're a beginner or someone with foundational A.I. knowledge, this interactive program equips you with the skills to apply A.I. technologies to real-world challenges. Dive into a comprehensive and interactive curriculum covering key concepts including data cleaning and visualization, traditional machine learning, and deep learning, as well as industry-standard tools that foster a deep understanding of A.I. It is a direct segue into our non-credit A.I. and Machine Learning Applications: Connecting Concepts to Practice professional certificate program, which will be offered beginning Wednesday, October 29, 2025.
Some of the topics covered include:
- Introduction to A.I. and Machine Learning, including a historical perspective on A.I. capabilities
- A.I. application areas, including machine learning, deep learning, predictive analytics, natural language processing, expert systems, image recognition, and more
- Examples of A.I. system failures and ethical challenges, like bias, security vulnerabilities, and system errors
- Understanding data preprocessing, structuring information, and gaining knowledge from A.I.-driven insights
- A hands-on A.I. Applications course overview
- 15-minute Q&A session
The webinar will be conducted via Microsoft Teams, and the link and calendar invite will be included on your receipt.
Dr. Derek Riley joined the MSOE faculty in 2016 and is a professor in the Computer Science and Software Engineering Department. He is also program director of MSOE’s Bachelor of Science in Computer Science program, which has a focus in artificial intelligence. In addition to teaching at MSOE, Riley provides consulting services and expert witness services related to machine learning, deep learning, facial recognition, computational modeling, high-performance computing, and other related fields. His areas of expertise include deep learning, machine learning, computer vision, algorithms, process modeling and simulation, Scrum, and mobile computing/programming. He is an NVIDIA DLI Certified Instructor.
Yiyang (Ian) Wang joined MSOE in 2023 and currently serves as an assistant professor in the Computer Science and Software Engineering Department. He received his Ph.D. in computer science from DePaul University in 2023. Ian's research interests encompass data science and machine learning, with a primary focus on their applications in the medical domain.