Discovering Generative AI and Foundation Models with AWS
About the event
2022 was a significant year for generative AI, as seen on social media platforms where images created by generative machine learning models such as DALL-E and Stable Diffusion became widespread. In addition, startups that built products using generative models managed to attract funding in a challenging market, and major tech companies started integrating generative models into their mainstream products. Our hands-on workshop will concentrate on the challenges and opportunities associated with implementing generative AI in organizations.
Don’t miss this chance to learn from industry experts, unlock the potential of generative AI for your organization, and discover the incredible opportunities it can offer. Secure your spot today and join the generative AI revolution.
Who should attend
This workshop is designed for Machine Learning enthusiasts, Data Scientists, and ML Engineers looking to expand their knowledge and skills in Generative AI.
Why Attend
• Gain a comprehensive understanding of generative AI and foundation models, even without prior machine learning knowledge.
• Learn practical deployment strategies using the AWS stack, and witness a hands-on demo showcasing generative AI in action.
• Discover the potential applications of generative AI across various industries, and how AWS supports customers globally in leveraging generative AI use cases.
Prerequisites
For the initial session (2 PM-3:30 PM), no specific prerequisites are required. For the hands-on workshop starting at 10:30, attendees should have a basic understanding of Amazon SageMaker, Python programming, and the Machine Learning lifecycle.
Agenda
1:45 PM – 2:00 PM | Registration
2:00 PM – 2:30 PM | What is Generative AI and Foundation Models, and what challenges these solve
2:30 PM – 2:45 PM | A playground demo on Generative AI
2:45 PM – 3:00 PM | Coffee Break
3:00 PM – 3:30 PM | Generative AI for everyone with the AWS stack
3:30 PM – 5:00 PM | One size does not fit all: fine-tune your own foundation model (hands-on exercise)