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Udemy course pick

Azure AI Agent Service (AI Foundry Hub, Agent Framework)

Build agentic AI solutions using Azure AI Agent Service, Azure AI Foundry, Azure OpenAI, RAG, and multi-agent systems with the Semantic Kernel SDK—built around practical labs and real workflows.

Why this course is worth your time

  • Hands-on focus: build real AI agents and workflows, not just theory.
  • Modern stack: Azure AI Foundry, Azure OpenAI, RAG, and Semantic Kernel patterns.
  • Clear progression from fundamentals to implementation with labs.
22h 13m
Total video length
116 lectures
Across 21 sections
4.4 / 5
Rating (550 ratings)
Updated Feb 2026
Last updated 2/2026

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Best for developers, AI and ML engineers, and solution architects building Azure-based agentic systems.

What you will learn

  • Build agents with Azure AI Agent Service.
  • Learn Azure OpenAI and GenAI foundations.
  • Work with Azure AI Foundry and its SDK.
  • Build RAG agents and multi-agent workflows using Semantic Kernel SDK.
Prerequisites and who this is for
  • Python programming experience is required.
  • Helpful: basic knowledge of cloud computing and Azure services.
  • For developers, AI/ML engineers, IT professionals, and solution architects exploring AI automation.

Suggested learning approach (simple and effective)

  • Protect a fixed daily learning block (30–45 minutes) for two weeks.
  • After each lab, write down one reusable pattern (agent setup, tool use, RAG pipeline, evaluation check).
  • Implement one mini-project: a single agent + one tool + a small RAG knowledge source.
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