AI-103 — Ep 3: Build AI Agents on Azure — Foundry Agent Service & Semantic Kernel

This episode covers building AI agents on Azure using Microsoft Foundry Agent Service and Semantic Kernel. It explores the foundational concepts that differentiate AI-103 from previous Azure AI certifications, focusing on agent architecture, implementation patterns, and integration with Azure services. The content provides practical guidance on leveraging Semantic Kernel for agent development and understanding how agents enhance AI application capabilities beyond traditional models.

Key Points

• •Agents are a core differentiator in AI-103 exam compared to older Azure AI certifications
• •Microsoft Foundry Agent Service provides the infrastructure for building and deploying agents on Azure
• •Semantic Kernel is a key framework for implementing agent logic and orchestration
• •Agents enable autonomous decision-making and task execution beyond simple prompt-response interactions
• •Understanding agent architecture is essential for designing scalable AI solutions on Azure
• •Integration between Foundry Agent Service and Semantic Kernel streamlines agent development workflows
• •Agents support complex workflows with memory, planning, and tool integration capabilities
• •Azure provides managed services that simplify agent deployment and monitoring

Workflow Diagram

Concepts