Anne Colbeck
Staff Partner Marketing
Zachary Proser
Staff Developer Advocate
Hosted by:
Join experts from AWS, Pulumi and Pinecone for an insightful workshop on "Scaling AI Applications on AWS", on July 9, 2024, from 10:00 AM to 2:00 PM EDT. This event will take place at the Amazon JFK24 New York office and guests will receive check-in information via email.
Whether you're an AI enthusiast, a cloud computing professional, or someone looking to enhance your technical skills, this event is designed to provide you with valuable knowledge and practical insights.
During this half-day session, our expert speakers will delve into the intricacies of building and managing AI infrastructure using AWS. You'll learn about the latest tools, best practices, and real-world applications that can help you leverage AWS for your AI projects. Don't miss this opportunity to network with like-minded professionals and gain a deeper understanding of how to optimize your AI workflows.
Join us to learn
- The basics of infrastructure as code and the Pulumi programming model
- How to provision, update, and destroy AWS resources
- How to create and manage Pinecone indexes
We look forward to seeing you there!
Prerequisites for attendees
- No previous experience with Pulumi or Pinecone is assumed.
- Bring your own laptop. For hardware requirements, see Download & Install Pulumi
- The workshop will be primarily conducted in TypeScript, but developers experienced with other supported Pulumi languages (Python, Go, C#) are also welcome if you are comfortable translating the examples. Instructors are familiar with all Pulumi languages.
- You must have your own AWS account with administrator access.
Disclaimers
- Space is limited and registration does not guarantee your spot. Please register and join us early to make sure you get a spot!
- By registering, you agree to share your information with the event hosts and sponsors.

Anne Colbeck
Staff Partner Marketing
Zachary Proser
Staff Developer Advocate
Hosted by:
Start building knowledgeable AI today
Create your first index for free, then pay as you go when you're ready to scale.