Workshop: Agent Harness - Build Enterprise-Grade AI Agent Architecture
Details
One-day hands-on workshop on building the architecture that turns AI models into reliable, scalable, and production-ready enterprise agents using Microsoft Foundry.
An AI model can generate an answer. An enterprise agent needs to understand context, use tools, take actions, maintain state, handle failures, and operate securely. This workshop focuses on the architecture that makes that possible.
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What You'll Learn
- How to design a 4-layer Agent Harness architecture
- How to use Microsoft Foundry to work with AI models and build agent solutions
- How to select the right model based on reasoning, cost, latency, context, and tool-calling capabilities
- How to connect agents with memory, knowledge, APIs, databases, and enterprise tools
- How agents reason, select tools, execute actions, and handle failures
- How to build multi-step agent workflows
- How to implement security, permissions, guardrails, and human approval
- How to observe, trace, evaluate, and optimize agent execution
- How to design a model-independent architecture that can evolve as AI models change
Hands-On Project
Build an enterprise-ready Agent Harness using Microsoft Foundry.
The agent will understand a request, retrieve context, reason about the task, select the appropriate tools, execute actions, validate results, and complete the task.
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By the End of the Workshop
You will understand how to move beyond simple AI applications and build enterprise-grade agents that can connect to real systems, execute real tasks, and operate reliably in production.
Prerequisites: Basic programming knowledge and familiarity with APIs and LLMs is recommended, Laptop.