Portable patterns for Azure, AWS and GCP that survive the next upgrade
AI agents are moving rapidly from experimentation into real production use cases, but cloud platforms differ significantly in how they support this shift.
In this webinar, we compare how Azure, AWS, and Google Cloud Platform approach AI agent development – exploring their native capabilities, tooling, and the trade-offs that matter most when scaling agent-based solutions.
The goal is not to pick a winner, but to help leaders understand what each platform brings to the table, so they can make informed decisions without locking themselves into fragile or overly complex architectures.
Your hosts
Dario Djurica
Principal Architect
Sandra Bosic Ristic
Lead Software Engineer
Igor Jankovic
Lead Software Engineer
Yevhen Sirotin
Lead Software Engineer
Date:
28-05-2026
Time:
10:00 – 11:00 hrs
Location:
Online
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