Generative AI for Project Managers
Generative AI (GenAI) is fundamentally altering the way organizations operate, necessitating that project managers become familiar with GenAI and its application in project work.
In this course, you will explore the many applications of GenAI in project management and compare different GenAI models. Next, you will examine the application of GenAI in resource allocation, data optimization and programming, decision-making, risk, and project quality. Then you will discover how to identify a GenAI hallucination, recognize GenAI as a possible project risk, and create GenAI prompts. Finally, you will identify ethical and regulatory considerations and evaluate emerging trends and improvements in GenAI for project management.
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Generative AI for Project Managers
define generative artificial intelligence (GenAI)
outline the applications of GenAI in project management
compare different generative AI models, including large language models (LLMs), generative adversarial networks (GANs), variational autoencoders (VAEs), and autoregressive models
describe the application of GenAI in resource allocation and optimization
identify strategies for addressing data challenges and promote data optimization and programming with GenAI
implement GenAI to improve decision-making
assess the influence of GenAI on project quality
identify a GenAI Hallucination
apply GenAI as a project risk management tool
recognize GenAI as a potential project risk
create GenAI prompts for project management
identify ethical and regulatory considerations when using GenAI
evaluate emerging trends and improvements in GenAI
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