Speakers: Matthew Garcia, GFT Infrastructure, Inc., Project Manager
PDH’s: This webinar is eligible for 2 PDH credits
A significant knowledge gap is emerging between the rapidly evolving capabilities of Artificial Intelligence (AI) and Machine Learning (ML) and the general engineering workforce, both in terms of terminology and technical expertise. This webinar is designed to bridge that gap, offering an introductory overview that connects these new powerful tools with the technical understanding of the engineers who will review and oversee such efforts in the coming years. The webinar will address both ethical and technical challenges, along with clarifying common misconceptions regarding the capabilities of these advanced tools within the engineering community. The content will aim to be broadly applicable across the engineering community and will provide some detailed examples, including the automation of HEC-RAS 2D workflows. By the end of this webinar, participants will have a foundational understanding of how coding, ML, and AI can be ethically and responsibly applied in the engineering field to support informed implementation and review moving forward.
Key Takeaways:
1. Gain a high-level technical understanding of AI, ML, and data science.
2. Comprehend the general benefits and risks associated with implementing AI and automation.
3. Establish connections between common engineering knowledge and a technical-level understanding of AI, facilitating further education after this course.
4. Explore multiple ways in which ML, AI, and coding can be effectively integrated into engineering workflows.
5. Develop a basic understanding of implementing these tools, illustrated by an example of automation using HEC-RAS 2D.