Yesterday, Andy Jassy announced a lot of new services during his re:Invent keynote. One of the most exciting ones is Amazon SageMaker, a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
I just recorded a 30-minute walkthrough, so let’s get to it. Plenty of code and examples for you to enjoy :)
Thank you for viewing. Build cool stuff and let me know!
Julien Simon is the Chief Evangelist at Arcee AI , specializing in Small Language Models and enterprise AI solutions. Recognized as the #1 AI Evangelist globally by AI Magazine in 2021, he brings over 30 years of technology leadership experience to his role.
With 650+ speaking engagements worldwide and 350+ technical blog posts, Julien is a leading voice in practical AI implementation, cost-effective AI solutions, and the democratization of artificial intelligence. His expertise spans open-source AI, Small Language Models, enterprise AI strategy, and edge computing optimization.
Previously serving as Principal Evangelist at AWS and Chief Evangelist at Hugging Face, Julien has authored books on Amazon SageMaker and contributed to the open-source AI ecosystem. His mission is to make AI accessible, understandable, and controllable for everyone.