Microsoft Foundry A-Z : Agents, RAG, Workflows & Evaluation

About this course

Are you an AI Engineer, Data Scientist, Developer, Solution Architect, IT Professional, Business Analyst, or someone who wants to learn how to build AI applications using Microsoft Foundry?

Imagine discovering and deploying the right AI models, building Retrieval-Augmented Generation (RAG) applications, connecting AI systems to enterprise knowledge bases, generating structured outputs using JSON Schema, creating intelligent workflows, and evaluating AI systems for quality and safety—all from a single platform.

Microsoft Foundry is one of the most powerful platforms for building, deploying, and managing AI applications. It provides organizations with access to cutting-edge AI models, orchestration tools, knowledge integration capabilities, workflow automation, evaluation frameworks, and responsible AI guardrails. As AI adoption continues to grow across industries, professionals who understand how to use Microsoft Foundry are becoming increasingly valuable.

In this course, you will learn Microsoft Foundry from scratch through a practical, hands-on approach. You will begin by understanding the Azure ecosystem and Microsoft Foundry fundamentals before moving into model selection, system instructions, custom instructions, Retrieval-Augmented Generation (RAG), Azure AI Search, Knowledge Bases, JSON Schema, Workflows, Evaluations, and Guardrails.

What You Will Learn

Understand the Azure AI ecosystem and Microsoft Foundry platform

Explore and select the right AI models for different use cases

Configure System Instructions for better AI responses

Create Custom Instructions to control model behavior

Understand the fundamentals of Retrieval-Augmented Generation (RAG)Build RAG-based AI applications step by step

Integrate Azure AI Search into RAG solutions

Create and manage Knowledge Bases for AI applications

Generate structured outputs using JSON Sc

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