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.

Language & Translator [2026]

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Language & Translator

🔧 Foundry Tools (AI Services) 6 min 60 BASE XP⌨ HANDS-ON LAB

Natural Language Processing & Translation

Language Service Capabilities

Feature	Purpose	Example
Sentiment Analysis	Detect positive/negative/neutral tone	Customer review analysis
Entity Recognition	Extract people, places, organizations	News article processing
Key Phrase Extraction	Identify important terms	Document summarization
PII Detection	Find personally identifiable information	Data compliance, redaction
Text Classification	Categorize text into custom labels	Support ticket routing

Translator Service

Azure Translator provides neural machine translation for 100+ languages with features including:

Text translation - Real-time, batch, and document translation
Custom Translator - Train domain-specific translation models
Transliteration - Convert scripts (e.g., Japanese kanji to romaji)

🎯 Pro Tip: Use PII Detection as a preprocessing step before sending user data to AI models. This helps comply with GDPR and other privacy regulations by identifying and redacting sensitive information.

⌨ HANDS-ON LABAnalyze Text Sentiment and Named Entities

⭐ +150 XP

Use Azure AI Language REST API to perform entity recognition (NER) and sentiment scoring on customer feedback.

1Send customer feedback to /language/:analyze-text for entity and sentiment extraction.

lab-sandbox — simulated environment

INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
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OBJECTIVE 1 / 1 — type "hint" if stuck

FOUNDRY VERIFICATION

QUERY 1 // 1

What should you use PII Detection for in an AI pipeline?

Translation

Preprocessing to identify and redact sensitive information before it reaches AI models

Image analysis

Model training