As we navigate an era marked by rapid advances in artificial intelligence, it’s crucial to stay ahead of the curve. See how the combined power of Generative AI, Amazon Web Services (AWS), and Redis are breaking new ground. Join us for an immersive workshop that dives deep into these transformative technologies. Unlock the keys to building intelligent, scalable, and efficient applications that will give you a competitive edge.
During this workshop we will cover:
- Introduction to Generative AI: Grasp the foundational concepts of Generative AI using real-world applications.
- Amazon Bedrock and Redis Enterprise Cloud as a Vector Database: Learn why Amazon Bedrock is the ideal environment for AI scalability and how Redis Enterprise Cloud improves your AI responses by storing and querying AI-generated vectors in real time.
- Architecting Intelligent Applications:
We will demonstrate and show you how you can craft scalable, robust and intelligent AI applications to enhance and drive newer user experiences through Generative AI.
Be sure to take advantage of this opportunity. Let’s shape the future of innovation together. Register now to secure your seat.
Workshop details:
- Date: Thursday, October 26, 2023
- Time: 1:00 p.m. – 5:00 p.m. ET
- Location: AWS Office in NYC –
- JFK27 424 5th Avenue, New York, NY, 10018
Technical requirements:
- You will need to bring your own laptop with a browser. You will also need to use your AWS account.
- We will provide AWS credits so that you do not incur charges for participating in the hands-on labs. We will help you with cleanup scripts so that you do not get a surprise bill at the end.
Here are few hard skills that you would want to bring to the table:
- A familiarity with with AWS web console, AWS CLI, and SSH terminal sessions
- General knowledge of Terraform, Docker, Containers will be helpful
- We will be working with Data. A general idea of Machine Learning concepts such as training + testing will be helpful to fill in the lab
Event Speakers
Andrea Nardello
Strategic Account Manager
Redis
Srinivas Pendyala
Cloud Partner Solution Architect
Redis
Sri Raghavan
Principal, Data and Analytics
AWS