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 types of memory does the Memory Service support?

User Profile Memory and Chat Summary Memory — The Memory Service supports User Profile Memory (static preferences) and Chat Summary Memory (distilled conversation summaries), both managed and scoped per-user.

Connected Agents & Multi-Agent [2026]

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Connected Agents & Multi-Agent

🤖 Building AI Agents 10 min 90 BASE XP

Multi-Agent Orchestration

Foundry supports two patterns for multi-agent systems:

1. Connected Agents (Hub-and-Spoke)

Register specialized agents as "tools" for an orchestrator agent. The orchestrator delegates tasks without custom routing code.

// Orchestrator agent with connected sub-agents:
orchestrator = project.agents.create_agent(
    model="o3-mini",
    name="Orchestrator",
    instructions="Route user requests to the appropriate specialist.",
    tools=[
        {"type": "connected_agent", "agent_id": search_agent.id},
        {"type": "connected_agent", "agent_id": analysis_agent.id},
        {"type": "connected_agent", "agent_id": writing_agent.id}
    ]
)

2. Multi-Agent Workflows

A stateful orchestration layer for complex, multi-step business processes. Maintains context and state across long-running tasks with approval gates and branching.

Microsoft Agent Framework v1.0 (April 2026)

On April 3, 2026, Microsoft released v1.0 of the Microsoft Agent Framework, officially merging AutoGen and Semantic Kernel into a single, unified open-source SDK for .NET and Python.

Feature	Description
Graph-Based Workflows	Explicit, controllable multi-agent execution with streaming, checkpointing, and time-travel debugging
MCP Support	Native Model Context Protocol integration for tool discovery
A2A Protocol	Agent-to-Agent protocol for cross-platform agent communication
Enterprise Telemetry	Built-in OpenTelemetry, Entra ID identity, M365 data source integration

Agent Memory Service (Preview)

The Memory Service allows agents to persist context across multiple sessions without custom databases:

User Profile Memory - Stores user preferences (dietary restrictions, language, etc.) across interactions
Chat Summary Memory - Distilled summaries of topics covered in past conversations
Procedural Memory - (Announced Build 2026) Retains successful execution patterns to improve future autonomous tasks
Scoped Access - Memory is segmented per-user for secure, isolated experiences
Free in Preview - No additional cost during preview; you pay only for underlying model usage

💡 Key Insight: Start with Connected Agents for simple delegation. Use the Microsoft Agent Framework for complex graph-based workflows with time-travel debugging. Enable the Memory Service when you need agents that remember users across sessions.

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What does the Microsoft Agent Framework v1.0 officially unify?

Azure Functions and Logic Apps

AutoGen and Semantic Kernel into a single SDK for .NET and Python

Power Automate and Power Apps

Azure ML and Databricks