Overview
Delve into the intricacies of Generative AI through this advanced course focusing on theoretical foundations and practical applications. This program, provided by Johns Hopkins University via Coursera, covers essential topics such as transformers, large language models, and symbolic AI, equipping learners with the knowledge to integrate these technologies effectively in solving complex problems and developing innovative content.
Participants will benefit from real-world case studies, gaining insights into the strengths and weaknesses of generative AI systems. This prepares them for AI leadership roles by highlighting the critical challenges and opportunities within the field. The course's unique emphasis on the convergence of symbolic AI and generative processes offers learners a deeper understanding of improving model explainability and control, aligning with ethical AI practices.
The curriculum explores both stochastic and symbolic approaches, demonstrating how these methods work in tandem to develop responsible, ethical, and sustainable AI systems. Whether you're aspiring to lead ambitious AI initiatives, integrate the latest AI innovations, or comprehend their broader societal implications, this course provides the essential skills to navigate the dynamic realm of generative AI effectively.