Get Started with AI Agents Using Azure AI Foundry

Item: Get Started with AI Agents Using Azure AI Foundry
Rating: 4
Author: PostSingularity Institute

by Sandeep Gadey

Applied Sciences & Engineering AI — News & Applications UYComputer science UYQArtificial intelligence (AI)

🎙 Sandeep Gadey 👥 5K 📅 October 20, 2025 ⏱ 54 min 👁 148 📄 tutorial 🧭 2026-08-15

Available in: English (current) Français

Keywords

Azure AI FoundryAI agentsagentic AIMicrosoftdeployment

Summary

This session from MLOps World | GenAI Summit 2025, presented by Sandeep Gadey, Principal Cloud & AI Architect at Microsoft, provides a practical introduction to building and deploying AI agents using Azure AI Foundry. The talk begins with industry statistics highlighting the growing adoption of AI agents, then explains the concept of agents as microservices that process unstructured messages and invoke APIs. Gadey contrasts traditional AI applications with agent-based systems, emphasizing agents’ resilience and ability to handle dynamic inputs. He introduces Azure AI Foundry as a unified platform for designing, customizing, and managing AI applications, offering a range of models, tools, and deployment options. The core of the session is a live demonstration: using a pre-built template, he deploys a sample agent that connects to a web app, Azure AI Foundry project, and OpenAI model, with backend file storage. He shows how to query the agent for product information and customer orders, illustrating the end-to-end workflow. He also highlights additional features like multi-agent support, observability, and integration with Azure AI Search. The talk concludes with resources for further learning, emphasizing the ease of getting started with templates and the $200 free credit for new Azure users.

196 words

Critical Evaluation

Value of the Information & Strength of the Argument

The value of this session lies in its practical, step-by-step demonstration of deploying an AI agent using Azure AI Foundry, which is directly actionable for developers and organizations looking to implement agentic AI. The speaker provides a clear architecture overview and shows real-time interactions, making the content accessible. However, the argumentation is largely promotional, focusing on Microsoft’s platform benefits without critical comparison to alternatives or discussion of limitations. The claims about industry trends are presented without detailed sourcing, and the technical depth is moderate, suitable for beginners but not for advanced practitioners seeking deep architectural insights.

Scientific Rigor, Source Quality, Title Accuracy

The speaker’s affiliation with Microsoft lends credibility, but the session is essentially a product demonstration, so the scientific rigor is limited. The title accurately reflects the content, which is a tutorial on getting started with Azure AI Foundry for AI agents. The sources cited are minimal, with only the MLOps World website provided in the description. The presentation includes some statistics (e.g., Gartner predictions) but does not cite specific reports. The content is well-structured and clear, but it lacks critical evaluation of the technology and does not address potential drawbacks or alternative platforms.

204 words

Title / Content Match

The title accurately reflects the content, which is a beginner-friendly guide to getting started with AI agents using Azure AI Foundry.

Quality & Reliability

7/10

The speaker is a Principal Cloud & AI Architect at Microsoft, providing an authoritative perspective. The content is a practical demonstration with clear steps, but lacks detailed technical depth and independent verification of claims.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

MLOps World — Conference website for MLOps World | GenAI Summit 2025, where this session was presented.

Concurring Sources

Azure AI Foundry documentation — Official Microsoft documentation for Azure AI Foundry, which aligns with the platform features discussed in the session.

Contribution & Novelties

This session provides a practical, hands-on introduction to Azure AI Foundry for building AI agents, which is valuable for practitioners new to agentic AI. It demonstrates a concrete deployment workflow using templates, making it easy to replicate. The talk also highlights the platform’s capabilities such as multi-agent orchestration, observability, and integration with Azure AI Search, offering a starting point for further exploration.

Pour aller plus loin :

Azure AI Foundry documentation — Official documentation for Azure AI Foundry, including tutorials and concepts.
Model Context Protocol (MCP) — An open protocol for connecting AI models to external tools and data, mentioned in the talk.
Agent-to-Agent (A2A) protocol — A protocol for agent-to-agent communication, referenced in the session.
Semantic Kernel — An SDK for building AI agents and orchestrating workflows, mentioned as a tool for multi-agent workflows.

135 words

Radar Profile

The radar profile shows moderate scores across all dimensions, with a slight emphasis on information quantity and quality over technical depth. This reflects a balanced but not deeply technical tutorial, suitable for a broad audience.

Reliability 7/10