Mastering RLHF with AWS: A Hands-On Workshop
Join us for a live workshop on Reinforcement Learning Human Feedback (RLHF) best practices with AWS.
Join us for a hands-on workshop where you will learn about Reinforcement Learning (RL) and learn how to harness the power of Human Feedback (HF) on Amazon Web Services (AWS).
This event is designed to equip participants with the skills and knowledge required to excel in RL applications and effectively leverage human input to enhance AI systems. Whether you’re a seasoned data scientist, an aspiring AI enthusiast, or a business professional seeking to understand the potential of RL, this workshop offers a unique opportunity to unlock its true potential.
This workshop is based off the foundational learnings of DeepLearning.AI’s course on Generative AI with LLMs built in collaboration with AWS team. Everything covered in the workshop is presented as continued education from the course.
- 40-minute Workshop
- 10-minute Q&A: Answering questions from the audience
How to attend the event:
When you register, you will receive a Livestream link via email three days before the event.
Can’t attend the live YouTube event? Don’t worry. Register now to get the recorded session after the live event.
About the Speakers:
Antje Barth, is a Principal Developer Advocate for AI and ML at AWS. She is co-author of the O’Reilly book “Data Science on AWS”. Antje frequently speaks at AI/ML conferences, events, and meetups around the world. She also co-founded the Düsseldorf chapter of Women in Big Data.
Chris Fregly, is a Principal Solution Architect for AI and Machine Learning at Amazon Web Services (AWS) based in San Francisco, California. He is co-author of the O’Reilly Book, “Data Science on AWS.” Chris is also the Founder of the global meetup series titled, “Data Science on AWS.” He regularly speaks at AI and Machine Learning conferences across the world including O’Reilly AI, Open Data Science Conference (ODSC), Big Data London, Big Data Spain, and Nvidia GPU Technology Conference (GTC). Previously, Chris was founder at PipelineAI where he worked with many AI-first startups and enterprises to continuously deploy ML/AI Pipelines using Apache Spark, Kubernetes, TensorFlow, Kubeflow, Ray, Amazon EKS, and Amazon SageMaker.