Build AI apps and agents with Azure

Last Updated 12 Mar 2026

Course Overview

This course is designed for professionals who want to deepen their expertise in leveraging Microsoft Foundry to build, deploy, and manage sophisticated Generative AI apps and agents. Participants will explore advanced concepts, best practices, securing and governing the AI Solutions and real-world applications of GenAI apps and agents, gaining hands-on experience with the platform’s powerful tools and capabilities.

Duration - 12 Hours

Level - Intermediate

Style - Self paced

Course Type - Project Ready with Labs

Certification - No

Hands on Labs - Yes

Solution Areas - Azure - Cloud & AI Platform, Innovate with Azure AI Apps and Agents

Course Modules

Foundations of AI & agentic architecture​

This module introduces enterprise solution design using Agentic AI, covering key concepts, roles, and behaviors of AI apps and agents. It also explores choosing the right approach to build and deploy intelligent agent-based solutions.

Accelerate innovation with Microsoft Foundry

This module introduces Microsoft Foundry for building scalable AI apps and agents, including development with the Foundry SDK and Agent Service. It also covers model selection, Responses APIs, and developing solutions using Azure OpenAI Service.

Build multi agent apps and agents with Microsoft Agent Framework

This module introduces the Microsoft Agent Framework, an open-source engine for building agentic AI applications. It also covers designing and implementing workflows to orchestrate intelligent agent behavior.

Drive business results with action-oriented, context-aware agents

This module explores combining intelligence across Work IQ, Fabric IQ, and Microsoft Foundry to power intelligent agents and applications. It also covers Azure AI Search, Retrieval-Augmented Generation (RAG), and model adaptation techniques such as fine-tuning, distillation, and synthetic data generation.

Agent observability, security and governance with Microsoft Foundry​

This module covers building generative AI workloads using the Azure Well-Architected Framework and governing the AI lifecycle with Microsoft Foundry control plane. It also explores monitoring agents, AI safety with Azure AI Content Safety, and secure access using Microsoft Entra ID.

Post-training Skills Assessment

Take this assessment to validate your skills gathered from the self-paced online learning course completed in this course to mark your completion.

Course Completion Survey

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