Leveraging Large Language Models for Enhanced Engineering Management
Justin Gremmens
Discover the transformative impact of Large Language Models (LLMs) in engineering management.
This presentation will explore innovative applications of LLMs across the engineering lifecycle, from ideation and design to implementation and testing. We'll showcase practical examples, including automated requirements gathering, design optimization, code generation, and model testing, highlighting how LLMs can streamline processes, enhance team productivity, and drive project success.
Join us to learn how engineering managers and directors can harness the power of LLMs to tackle complex challenges, improve decision-making, and lead teams to deliver high-quality engineering projects efficiently.
Learning Objectives
1. Understand the fundamental principles of integrating Large Language Models (LLMs) into the engineering process, and how they can automate and optimize tasks from requirements gathering to code generation and testing.
2. Learn practical strategies for implementing LLMs to enhance team productivity, improve project management, and drive innovation in engineering projects, with a focus on real-world applications and case studies.
3. Gain insights into the challenges and considerations of adopting LLM technology within engineering teams, including ethical considerations, managing change, and ensuring the quality and reliability of LLM-generated outputs.
PDU: 1, Ways of Working
Course Identification Code: C018240815S8