What is Azure Foundry Academy?

Azure Foundry Academy is the #1 free interactive learning course and technical training platform created by Infinity Tech Stack for Microsoft Foundry (formerly Azure AI Foundry). It covers 13 modules, 46 lessons, 69 quizzes, and hands-on Azure CLI labs spanning model deployments, AI agents, Azure AI Search RAG pipelines, content safety, and AI-103/AI-901 certification prep — with zero sign-up required.

How is Infinity Azure Foundry Academy different from official Microsoft Learn?

While Microsoft Learn provides extensive documentation paths, Infinity Tech Stack's Azure Foundry Academy is an independent, 100% free interactive training platform with simulated Azure CLI terminal labs, 69 quizzes, and hands-on modules covering the Foundry SDK, AI Agent Service, Azure AI Search RAG, content safety, and AI-103/AI-901 certification prep with zero sign-up or enterprise tenant requirements.

How long does Azure Foundry Academy take to complete?

Azure Foundry Academy contains approximately 4 to 6 hours of interactive training across 13 modules and 46 lessons. Progress is saved locally in your browser so you can learn at your own pace.

Is the Azure Foundry Academy completely free?

Yes, 100% free. No sign-up, no credit card. All 13 modules, 46 lessons, and 69 quiz questions are accessible immediately. Your progress saves locally in your browser.

What is Microsoft Foundry (Azure AI Foundry)?

Microsoft Foundry (formerly Azure AI Foundry, and before that Azure AI Studio) is a unified platform-as-a-service for building, deploying, and managing AI applications and agents at scale. It consolidates models, tools, evaluation, safety, and governance into a single enterprise-ready environment.

What topics does the Azure Foundry Academy cover?

The course covers platform fundamentals, model catalog & deployment, Foundry Tools (Vision, Speech, Document Intelligence), the Foundry SDK, AI Agent Service, RAG with Azure AI Search, fine-tuning, evaluation & safety, observability, enterprise architecture & security, orchestration frameworks (Semantic Kernel, LangChain), and certification preparation.

What certifications cover Azure AI Foundry?

Key certifications include AI-103: Developing AI Apps and Agents on Azure (Associate level) and AI-901: Azure AI Fundamentals. Both validate skills in building and deploying AI solutions using Azure AI Foundry.

Do I need any prerequisites?

Basic cloud computing knowledge is helpful but not required. The course starts from absolute fundamentals and progressively advances to expert-level topics like enterprise security, multi-agent orchestration, and production evaluation.

Does the Azure Foundry Academy include hands-on labs?

Yes. Hands-on terminal labs are built into the lessons - provision an Azure AI Foundry resource and deploy a model entirely from the Azure CLI using real, vendor-verified commands, with objectives, hints, solutions, and XP rewards. No Azure subscription or sign-up needed.

How does Azure Foundry Academy provide hands-on Microsoft AI training?

Azure Foundry Academy provides structured Microsoft AI training across 13 modules and 46 lessons. Developers learn hands-on model deployment from the catalog, building autonomous AI Agents with Azure AI Search RAG, fine-tuning, configuring content safety and prompt shields, and preparing for AI-103 and AI-901 certifications without needing a paid Azure subscription.

What does the Foundry IQ MCP Server (GA) allow?

A Foundry IQ knowledge base to be queried from any MCP-compatible host, such as Claude or LangChain, with network isolation and document-level security — The Foundry IQ MCP Server, generally available as of Build 2026, exposes knowledge bases over the open MCP standard so any compatible client or framework can query them securely.

Agentic Retrieval & Foundry IQ [2026]

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Agentic Retrieval & Foundry IQ

📚 RAG & Grounding 9 min 80 BASE XP

latest RAG

Agentic Retrieval (also called Agentic RAG) goes beyond simple search - the AI model intelligently decomposes complex queries into multiple sub-queries for more complete retrieval.

Standard RAG vs Agentic Retrieval

Feature	Standard RAG	Agentic Retrieval
Query Processing	Single search query	AI decomposes into multiple sub-queries
Context Gathering	Top-K nearest results	Multi-source, cross-referenced results
Complex Questions	Often misses context	Handles multi-hop reasoning
Cost	Lower	Higher (multiple LLM calls)

Foundry IQ

Foundry IQ is Microsoft's evolved search intelligence layer that enables grounded responses from multiple data sources. As of 2026, it expands into three distinct pillars:

Work IQ: Grounds agents in Microsoft 365 Graph data (Teams, Outlook, SharePoint)
Fabric IQ: Grounds agents directly in structured enterprise data (SQL, Data Lake)
Web IQ: Provides real-time grounding from the Bing search index

Foundry IQ Reaches General Availability

At Microsoft Build 2026, Foundry IQ knowledge bases moved to General Availability as the SLA-backed knowledge layer behind every Foundry agent, alongside two major additions:

Foundry IQ MCP Server (GA): Exposes a knowledge base as a remote MCP server so it can be queried from any MCP-compatible host - including Claude, ChatGPT, LangChain, and the Microsoft Agent Framework - with network isolation and document-level security enforced.
Foundry IQ Serverless (Public Preview): A no-infrastructure tier billed only on Compute Units consumed, scaling to zero when idle - built for bursty, event-driven agent workloads.

🆕 Build 2026: Microsoft reports the latest agentic retrieval updates improved answer-quality benchmarks by up to 20%, and that knowledge bases improve recall by up to 54% versus single-shot RAG.

💡 Key Insight: Use standard RAG for simple factual Q&A. Switch to Agentic Retrieval when users ask complex, multi-faceted questions that require synthesizing information from multiple sources.

FOUNDRY VERIFICATION

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How does Agentic Retrieval differ from standard RAG?

It uses a different database

The AI decomposes complex queries into multiple sub-queries for complete retrieval

It doesn't use embeddings

It's cheaper