Are you building a new app to automate tasks like text processing, image recognition, or predictive analytics? Do you have an existing app that could be made smarter and more personalized with machine learning recommendations?

Join us for a 1 day workshop where you’ll gain hands on experience using Amazon SageMaker to build, train and deploy your own ML model. The agenda will cover technical topics including MLOps, methods for importing and deploying your own custom model, and best practices for getting the most out of SageMaker’s vast feature set.

Target Audience

CTO, Head of Machine Learning, AI/ML Engineers, Data Scientists, AI/ML Leads - Basic Machine Learning concepts is requested.

**Morning Session**

9:30am Kickoff and Introductions to AWS and Commit teams

9:45am: Overview of Amazon SageMaker service

10:15am Commit SageMaker use-cases

10:30am Hands-on Lab: Intro SageMaker lab

12pm Break for lunch

**Afternoon Session**

12:45pm SageMaker BYOM and MLOps concepts

1:15pm Choose between:

* Hands-on Lab BYOM (Bring your Own Model):

* Hands-on Lab MLOps

3:15pm Hear How, in Collaboration with Commit, we Can Bring your AI/ML PoC to Life

4pm Networking drinks at the Pub by LHR Office (sponsored by Commit)

Commit is a global technology services company established in 2005, with offices in the US, UK, Europe, and Israel. With a team of over 700 multi-disciplinary experts, Commit empowers organizations across various industries with cutting-edge technology solutions in Cloud, Generative AI/ML, Application Development & IoT, Data & Analytics, Cyber Security, and more.