Skip to content

Details

Dive into the world of machine learning with a hands-on session on "How to Leverage Amazon SageMaker AI," a practical guide to building, training, and deploying machine learning models using AWS SageMaker.
What You Will Learn:

  • The core components of Amazon SageMaker and how they work
  • How to prepare data for training and evaluation
  • Techniques for training ML models at scale
  • Deploying and monitoring models in production
  • Real-world examples and best practices from industry applications

Who Should Attend:

  • Data Scientists & ML Engineers looking to scale their workflows
  • DevOps Engineers interested in integrating ML into pipelines
  • Software Developers exploring AI/ML deployment on AWS
  • Students & Enthusiasts eager to learn how to get started with SageMaker
  • Tech Leads & Decision Makers evaluating AI/ML capabilities on AWS

Speaker:
Yusuf Abdulakeem – Expert in Open Source (ML/AI/GIS), Applied Finance, Developer Relations & Database Management
Hosts:

  • Dinnyuy Lemnyuy Fru – DevOps & AI Practitioner
  • Delia Ayoko – AWS Community Builder AI/ML
  • Steve Yonkeu – Cloud & Backend Engineer

Date: 19th July
Time: 10:00 AM GMT+1
Venue: Google Meet
Join here: https://linktr.ee/awsugdouala
Whether you're just starting with machine learning or looking to sharpen your AWS ML skills, this event offers something for every level.

Amazon Web Services
Continuous Delivery
DevOps

Members are also interested in