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Zero To Mastery

Introduction to Microsoft Foundry

via Zero To Mastery Path

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Overview

Learn the basics of Microsoft Foundry (a.k.a. Azure AI Studio), Azure's factory for building AI applications and agents using models from multiple providers including OpenAI, Anthropic, Meta, DeepSeek, Mistral, Microsoft, and more.
  • When enterprises need AI agents
  • The core building blocks of AI agents
  • How Microsoft Foundry and Agent Framework fit together
  • How to set up Azure AI, Foundry, CLI, VS Code, and Python
  • How agents communicate with Azure AI services
  • How to use models from multiple providers including OpenAI, Deepseek, and more

Syllabus

  •   Introduction
    • Introduction
    • Exercise: Meet Your Classmates and Instructor
    • Course Resources
  •   Microsoft Foundry Core Concepts, Environment & Setup
    • Automation vs. AI Agents: When Enterprises Need Agents
    • AI Agents Core Components
    • Microsoft Foundry & Agent Framework Architecture
    • Setting-Up Azure AI and Microsoft Foundry
    • Setting Up Azure CLI
    • Setting Up VS Code with the AI Toolkit and Microsoft Foundry
    • Setting Up the Python Environment
    • Agent Architecture in Python: How AI Agents Communicate with Azure AI Services
    • Azure AI Projects SDK vs. Microsoft Agent Framework (MAF) SDK
    • Prototyping AI Agents Using the AI Toolkit VS Code Extension
    • Creating an Agent Using the AI Toolkit
    • The Big Picture: How Microsoft Foundry Fits Together
  •   Project: Human‑in‑the‑Loop Content Pipeline
    • Project Overview (Proof of Concept)
    • Creating the Workflow + First Agent
    • Adding the Refiner Agent
    • Human-in-the-Loop Approvals in Enterprise AI Workflows
    • If/Else Logic and Building a Regeneration Loop
    • Testing the Loop and Delivering the Final Approved Result
  •   Where To Go From Here?
    • Review This Byte!

Taught by

Andrei Dumitrescu

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