Hidden Technical Debt in Machine Learning Systems Workshop with Mahmoud Hossam

Name: Hidden Technical Debt in Machine Learning Systems Workshop with Mahmoud Hossam
Start: 2026-05-23T13:00:00+03:00
End: 2026-05-23T14:00:00+03:00
Location: The GrEEK Campus Downtown

The GrEEK Campus Downtown, Street, Abdeen, 4280102

GDG Cairo

Behind every successful ML model lies a massive ecosystem of pipelines, infrastructure, configurations, dependencies, an...

May 23, 10:00 – 11:00 AM (UTC)

2 RSVP'd

Key Themes

Build with AIWorkshop / hands-on session

About this event

Behind every successful ML model lies a massive ecosystem of pipelines, infrastructure, configurations, dependencies, and automation layers.
In this workshop, Mahmoud will break down the hidden technical debt that quietly breaks ML systems in production, including:
- Pipeline jungles & fragile glue code
- Data dependencies & system entanglement
- Infrastructure bottlenecks in real-world AI deployments
- MLOps strategies for scalable, stable, and secure systems
- 
Based on Google’s foundational research and modern MLOps practices, this workshop will help you understand how to build AI systems that survive beyond the demo stage.
📌 Registration:
Please note that registration is only available through the following form:
Registration Form Build With AI Cairo Edition