From Idea to Production: AI Agents on Azure

Building AI agents is easy in a demo. Shipping them securely and reliably to production is where the real work begins.

This session walks through what it truly takes to move from idea to production when building AI agents on Microsoft Azure. We will break down the architecture behind intelligent agents, examine the core services within the Microsoft ecosystem that power them, and walk through practical implementation patterns that teams can use immediately.

You will gain clarity on how to design, configure, validate, and operationalize AI agents — not just to pass an assessment, but to run them in real environments with scalability, governance, and cost-awareness in mind.

Whether you are preparing for an AI-focused certification, building internal copilots, or experimenting with autonomous workflows, this session will help you understand what production readiness actually requires.

Key Takeaways:

• The core architecture patterns behind AI agents on Azure.
• How to connect models, tools, memory, and orchestration layers effectively.
• Validation and testing approaches before moving to production.
• Governance, monitoring, and cost controls for enterprise AI agents.
• Practical Azure services to use when deploying real-world AI solutions.