
Behind every successful ML model lies a massive ecosystem of pipelines, infrastructure, configurations, dependencies, an...
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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
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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:
Saturday, May 23, 2026
10:00 AM – 11:00 AM (UTC)
iSolution
Head of GDG Cairo
Handle
Head of Design
WTM Cairo Leader
GDG Organizer
nsave
Co-organizer
GDG Organizer
Cairo University
Android developer
Organizer @GDG Cairo
Co-organizer
Vodafone
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Nezam
Co-organizer
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GDG
Co-organizer
Nahdi Medical Co.
GDG Organizer
Machine Minds
Ai Engineer
GDG Cairo
Business Developer
GDG Organizer
Photographer
Full Stack developer
IOS Developer
Johnson and Johnson
GDE
Cloud Engineer