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Atos upskilled 400 engineers in agentic AI by having them build multi-agent systems on AWS during a 3-day competition, proving hands-on learning is key for enterprise adoption.

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Atos upskills 400 engineers in agentic AI via hands-on AWS competition

Introduction

FAQ

What is agentic AI?

Agentic AI refers to AI systems capable of taking autonomous actions to achieve specific goals, such as building multi-agent systems that collaborate to solve complex problems.

How did Atos train 400 engineers in 3 days?

Atos used a hands-on competition (AI League) where engineers built multi-agent systems on AWS, focusing on learning by doing rather than theory.

Why is this model relevant for MENA companies?

It provides a replicable model for rapidly upskilling teams, helping enterprises in the region adopt agentic AI practically.

Can other organizations apply this approach?

Yes, any organization can design internal competitions or partner with cloud providers to train teams on real use cases.

Source: AWS Machine Learning

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